Formation of the First Two Black Hole-Neutron Star Mergers (GW200115 and GW200105) from Isolated Binary Evolution


Formation, Structure, and Detectability of the Geminids Meteoroid Stream


Formatting the Landscape: Spatial conditional GAN for varying population in satellite imagery


Forming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple Experts


Forming Ensembles at Runtime: A Machine Learning Approach


Forming and Controlling Hitches in Midair Using Aerial Robots


Formula graph self-attention network for representation-domain independent materials discovery


FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis


Formulas for Mutually Orthogonal Quantum States in Two-Qubit Systems: Orthogonal Schmidt Decompositions


Formulating Event-based Image Reconstruction as a Linear Inverse Problem with Deep Regularization using Optical Flow


Formulating Few-shot Fine-tuning Towards Language Model Pre-training: A Pilot Study on Named Entity Recognition


Formulating Robustness Against Unforeseen Attacks


Formulating and solving integrated order batching and routing in multi-depot AGV-assisted mixed-shelves warehouses


Formulation Comparison for Timeline Construction using LLMs


Forsage: Anatomy of a Smart-Contract Pyramid Scheme


Forster-Warmuth Counterfactual Regression: A Unified Learning Approach


Forte : Finding Outliers with Representation Typicality Estimation


Fortify the Shortest Stave in Attention: Enhancing Context Awareness of Large Language Models for Effective Tool Use


Fortifying Toxic Speech Detectors Against Veiled Toxicity


Fortifying gravitational-wave tests of general relativity against astrophysical assumptions


FortisAVQA and MAVEN: a Benchmark Dataset and Debiasing Framework for Robust Multimodal Reasoning


Fortran code for generating random probability vectors, unitaries, and quantum states


Fortran2CPP: Automating Fortran-to-C++ Translation using LLMs via Multi-Turn Dialogue and Dual-Agent Integration


Fortuitous Forgetting in Connectionist Networks


Fortuna: A Library for Uncertainty Quantification in Deep Learning


Forward Compatible Few-Shot Class-Incremental Learning


Forward Composition Propagation for Explainable Neural Reasoning


Forward Invariance in Trajectory Spaces for Safety-critical Control


Forward Kinematics of Object Transporting by a Multi-Robot System with a Deformable Sheet


Forward Learning of Graph Neural Networks


Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger


Forward Modeling of the Type III Radio Burst Exciter


Forward Prediction for Physical Reasoning


Forward Sensitivity Analysis and Mode Dependent Control for Closure Modeling of Galerkin Systems


Forward Stability and Model Path Selection


Forward and Backward Information Retention for Accurate Binary Neural Networks


Forward and Reverse Gradient-Based Hyperparameter Optimization


Forward kinematics of a general Stewart-Gough platform by elimination templates


Forward-Backward Convolutional Recurrent Neural Networks and Tag-Conditioned Convolutional Neural Networks for Weakly Labeled Semi-supervised Sound Event Detection


Forward-Backward Extended DMD with an Asymptotic Stability Constraint


Forward-Selected Panel Data Approach for Program Evaluation


Forward-backward splitting in bilaterally bounded Alexandrov spaces


Forward-modelling the Luminosity, Distance, and Size distributions of the Milky Way Satellites


Forward-only Diffusion Probabilistic Models


ForzaETH Race Stack -- Scaled Autonomous Head-to-Head Racing on Fully Commercial off-the-Shelf Hardware


Fossil 2.0: Formal Certificate Synthesis for the Verification and Control of Dynamical Models


Found Graph Data and Planted Vertex Covers


Found a Reason for me? Weakly-supervised Grounded Visual Question Answering using Capsules


Found in Translation: Learning Robust Joint Representations by Cyclic Translations Between Modalities


Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding


Found in the Middle: Permutation Self-Consistency Improves Listwise Ranking in Large Language Models


FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection


Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust Performance


Foundation Model Assisted Weakly Supervised Semantic Segmentation


Foundation Model Insights and a Multi-Model Approach for Superior Fine-Grained One-shot Subset Selection


Foundation Model Makes Clustering A Better Initialization For Cold-Start Active Learning


Foundation Model for Advancing Healthcare: Challenges, Opportunities, and Future Directions


Foundation Model for Composite Microstructures: Reconstruction, Stiffness, and Nonlinear Behavior Prediction


Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train


Foundation Model is Efficient Multimodal Multitask Model Selector


Foundation Model of Electronic Medical Records for Adaptive Risk Estimation


Foundation Model or Finetune? Evaluation of few-shot semantic segmentation for river pollution


Foundation Model-Based Apple Ripeness and Size Estimation for Selective Harvesting


Foundation Model-Powered 3D Few-Shot Class Incremental Learning via Training-free Adaptor


Foundation Models Boost Low-Level Perceptual Similarity Metrics


Foundation Models For Seismic Data Processing: An Extensive Review


Foundation Models Knowledge Distillation For Battery Capacity Degradation Forecast


Foundation Models for Amodal Video Instance Segmentation in Automated Driving


Foundation Models for Remote Sensing and Earth Observation: A Survey


Foundation Models for Video Understanding: A Survey


Foundation Models for Weather and Climate Data Understanding: A Comprehensive Survey


Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysis


Foundation Policies with Hilbert Representations


Foundation X: Integrating Classification, Localization, and Segmentation through Lock-Release Pretraining Strategy for Chest X-ray Analysis


Foundation for unbiased cross-validation of spatio-temporal models for species distribution modeling


Foundation models for electronic health records: representation dynamics and transferability


Foundation-Model-Boosted Multimodal Learning for fMRI-based Neuropathic Pain Drug Response Prediction


Foundational Large Language Models for Materials Research


Foundational Models Defining a New Era in Vision: A Survey and Outlook


Foundational Models in Medical Imaging: A Comprehensive Survey and Future Vision


Foundational Oracle Patterns: Connecting Blockchain to the Off-chain World


Foundations and Recent Trends in Multimodal Mobile Agents: A Survey


Foundations of Comparison-Based Hierarchical Clustering


Foundations of Spatial Perception for Robotics: Hierarchical Representations and Real-time Systems


Foundations of Symbolic Languages for Model Interpretability


Foundations of User-Centric Cell-Free Massive MIMO


Foundations of the WKB Approximation for Models of Cochlear Mechanics in 1- and 2-D


Four Principles for Physically Interpretable World Models


Four Things People Should Know About Migraines


Four Years of FAccT: A Reflexive, Mixed-Methods Analysis of Research Contributions, Shortcomings, and Future Prospects


Four-dimensional tomographic reconstruction by time domain decomposition


Four-field Hamiltonian fluid closures of the one-dimensional Vlasov-Poisson equation


Four-parameter coalescing ballistic annihilation


Four-periodic infinite staircases for four-dimensional polydisks


Four-splitting based coarse-grained multicomputer parallel algorithm for the optimal binary search tree problem


FourCastNeXt: Optimizing FourCastNet Training for Limited Compute


FourLLIE: Boosting Low-Light Image Enhancement by Fourier Frequency Information


Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting


Fourier Coefficients of Level 1 Hecke Eigenforms


Fourier Document Restoration for Robust Document Dewarping and Recognition


Fourier Neural Differential Equations for learning Quantum Field Theories


Fourier Neural Operator Surrogate Model to Predict 3D Seismic Waves Propagation


Fourier Neural Solver for large sparse linear algebraic systems


Fourier Position Embedding: Enhancing Attention's Periodic Extension for Length Generalization


Fourier Prompt Tuning for Modality-Incomplete Scene Segmentation


Fourier Series Expansion Based Filter Parametrization for Equivariant Convolutions


Fourier Sliced-Wasserstein Embedding for Multisets and Measures


Fourier Transform Approximation as an Auxiliary Task for Image Classification


Fourier Transform of Percoll Gradients Boosts CNN Classification of Hereditary Hemolytic Anemias


Fourier Transformer: Fast Long Range Modeling by Removing Sequence Redundancy with FFT Operator


Fourier expansion in variational quantum algorithms


Fourier instantaneous estimators and the Epps effect


Fourier modal method for inverse design of metasurface-enhanced micro-LEDs


Fourier neural operator for real-time simulation of 3D dynamic urban microclimate


Fourier series weight in quantum machine learning


Fourier synthesis optical diffraction tomography for kilohertz rate volumetric imaging


Fourier-Domain Optimization for Image Processing


Fourier-MIONet: Fourier-enhanced multiple-input neural operators for multiphase modeling of geological carbon sequestration


Fourier-Mixed Window Attention: Accelerating Informer for Long Sequence Time-Series Forecasting


Fourier-basis Functions to Bridge Augmentation Gap: Rethinking Frequency Augmentation in Image Classification


FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective


FourierKAN outperforms MLP on Text Classification Head Fine-tuning


FourierNet: Compact mask representation for instance segmentation using differentiable shape decoders


FourierNets enable the design of highly non-local optical encoders for computational imaging


FourierPIM: High-Throughput In-Memory Fast Fourier Transform and Polynomial Multiplication


Fourth-Order Paired-Explicit Runge-Kutta Methods


Fourth-order leapfrog algorithms for numerical time evolution of classical and quantum systems


Fourth-order suboptimality of nominal model predictive control in the presence of uncertainty


Fovea Transformer: Efficient Long-Context Modeling with Structured Fine-to-Coarse Attention


Foveate, Attribute, and Rationalize: Towards Physically Safe and Trustworthy AI


Foveation for Segmentation of Ultra-High Resolution Images


FrOoDo: Framework for Out-of-Distribution Detection


FracGM: A Fast Fractional Programming Technique for Geman-McClure Robust Estimator


FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training


FrackyFrac: A Standalone UniFrac Calculator


Fractal Attractors in Random Nonlinear Iterated Function Systems: Existence, Stability, and Dimensional Properties


Fractal Autoencoders for Feature Selection


Fractal Calibration for long-tailed object detection


Fractal Dimension Estimation with Persistent Homology: A Comparative Study


Fractal aggregates of sub-micron-sized grains in the young planet-forming disk around IM Lup


Fractal algorithm for multiple lens analyses


Fractal and Turbulent Feature Extraction and NFT Label Generation for Pollock Style Migration Paintings Based on VGG19


Fractal behavior of tensor powers of the two dimensional space in prime characteristic


Fractal codimension of nilpotent contact points in two-dimensional slow-fast systems


Fractal dimension, approximation and data sets


FractalAD: A simple industrial anomaly detection method using fractal anomaly generation and backbone knowledge distillation


Fractals Generated by Modifying Aperiodic Substitution Tilings


Fractional Chromatic Numbers from Exact Decision Diagrams


Fractional Concepts in Neural Networks: Enhancing Activation Functions


Fractional Denoising for 3D Molecular Pre-training


Fractional Order Sunflower Equation: Stability, Bifurcation and Chaos


Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference


Fractional Tackles: Leveraging Player Tracking Data for Within-Play Tackling Evaluation in American Football


Fractional Types: Expressive and Safe Space Management for Ancilla Bits


Fractional Underdamped Langevin Dynamics: Retargeting SGD with Momentum under Heavy-Tailed Gradient Noise


Fractional Vegetation Cover Estimation using Hough Lines and Linear Iterative Clustering


Fractional dynamics foster deep learning of COPD stage prediction


Fractional order induced bifurcations in Caputo-type denatured Morris-Lecar neurons


Fractional ridge regression: a fast, interpretable reparameterization of ridge regression


FractionalDiffEq.jl: High Performance Fractional Differential Equation Solver in Julia


Fractionalized Kohn-Sham Scheme for Strongly Correlated Electrons


Fracture Detection in Pediatric Wrist Trauma X-ray Images Using YOLOv8 Algorithm


FragFake: A Dataset for Fine-Grained Detection of Edited Images with Vision Language Models


FragNet: A Graph Neural Network for Molecular Property Prediction with Four Levels of Interpretability


FragXsiteDTI: Revealing Responsible Segments in Drug-Target Interaction with Transformer-Driven Interpretation


Fragility in Average Treatment Effect on the Treated under Limited Covariate Support


Fragility of Chess positions: measure, universality and tipping points


Fragment Graphical Variational AutoEncoding for Screening Molecules with Small Data


Fragment-based Pretraining and Finetuning on Molecular Graphs


Fragment-based molecular generative model with high generalization ability and synthetic accessibility


Fragmentation with Discontinuous Galerkin schemes: Non-linear fragmentation


Fragmented Layer Grouping in GUI Designs Through Graph Learning Based on Multimodal Information


Fragmented and Valuable: Following Sentiment Changes in Food Tweets


Fragments to Facts: Partial-Information Fragment Inference from LLMs


Frame Interpolation for Dynamic Scenes with Implicit Flow Encoding


Frame Interpolation with Consecutive Brownian Bridge Diffusion


Frame Mining: a Free Lunch for Learning Robotic Manipulation from 3D Point Clouds


Frame Representation Hypothesis: Multi-Token LLM Interpretability and Concept-Guided Text Generation


Frame by frame completion probability of an NFL pass


Frame to frame interpolation for high-dimensional data visualisation using the woylier package


Frame-Based Continuous Lexical Semantics through Exponential Family Tensor Factorization and Semantic Proto-Roles


Frame-Level Multi-Label Playing Technique Detection Using Multi-Scale Network and Self-Attention Mechanism


Frame-To-Frame Consistent Semantic Segmentation


Frame-level emotional state alignment method for speech emotion recognition


Frame-type Sensitive RDO Control for Content-Adaptive-encoding


Frame-wise Action Representations for Long Videos via Sequence Contrastive Learning


Frame-wise Cross-modal Matching for Video Moment Retrieval


FrameBERT: Conceptual Metaphor Detection with Frame Embedding Learning


FrameExit: Conditional Early Exiting for Efficient Video Recognition


FrameFinder: Explorative Multi-Perspective Framing Extraction from News Headlines


FrameFusion: Combining Similarity and Importance for Video Token Reduction on Large Visual Language Models


FramePainter: Endowing Interactive Image Editing with Video Diffusion Priors


FrameQuant: Flexible Low-Bit Quantization for Transformers


FrameRS: A Video Frame Compression Model Composed by Self supervised Video Frame Reconstructor and Key Frame Selector


Framework GNN-AID: Graph Neural Network Analysis Interpretation and Defense


Framework based on complex networks to model and mine patient pathways


Framework for Co-distillation Driven Federated Learning to Address Class Imbalance in Healthcare


Framework for Inferring Following Strategies from Time Series of Movement Data


Framework for Inferring Leadership Dynamics of Complex Movement from Time Series


Framework for Variable-lag Motif Following Relation Inference In Time Series using Matrix Profile analysis


Framework for inferring empirical causal graphs from binary data to support multidimensional poverty analysis


Framework for phase transitions between the Maxwell and Gibbs constructions


Framework on Deep Learning Based Joint Hybrid Processing for mmWave Massive MIMO Systems


Framework to Automatically Determine the Quality of Open Data Catalogs


Framing RNN as a kernel method: A neural ODE approach


Framing Social Movements on Social Media: Unpacking Diagnostic, Prognostic, and Motivational Strategies


Framing Unpacked: A Semi-Supervised Interpretable Multi-View Model of Media Frames


Framing causal questions in life course epidemiology


Framing the Game: How Context Shapes LLM Decision-Making


Frank-Wolfe Methods with an Unbounded Feasible Region and Applications to Structured Learning


Frank-Wolfe Network: An Interpretable Deep Structure for Non-Sparse Coding


Frank-Wolfe meets Shapley-Folkman: a systematic approach for solving nonconvex separable problems with linear constraints


FrankenSplit: Efficient Neural Feature Compression with Shallow Variational Bottleneck Injection for Mobile Edge Computing


Frankenstein Optimizer: Harnessing the Potential by Revisiting Optimization Tricks


Frankenstein: Protoplanetary disc brightness profile reconstruction at sub-beam resolution with a rapid Gaussian process


Frankentext: Stitching random text fragments into long-form narratives


Fraud Proofs: Maximising Light Client Security and Scaling Blockchains with Dishonest Majorities


Frauds Bargain Attack: Generating Adversarial Text Samples via Word Manipulation Process


FreCDo: A Large Corpus for French Cross-Domain Dialect Identification


FreCaS: Efficient Higher-Resolution Image Generation via Frequency-aware Cascaded Sampling


FreDSNet: Joint Monocular Depth and Semantic Segmentation with Fast Fourier Convolutions


FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting


FreGAN: Exploiting Frequency Components for Training GANs under Limited Data


FreMIM: Fourier Transform Meets Masked Image Modeling for Medical Image Segmentation


FreRA: A Frequency-Refined Augmentation for Contrastive Learning on Time Series Classification


FreSCo: Frequency-Domain Scan Context for LiDAR-based Place Recognition with Translation and Rotation Invariance


FreSCo: Mining Frequent Patterns in Simplicial Complexes


FreSaDa: A French Satire Data Set for Cross-Domain Satire Detection


FreSh: Frequency Shifting for Accelerated Neural Representation Learning


Freaky Leaky SMS: Extracting User Locations by Analyzing SMS Timings


Frechet Music Distance: A Metric For Generative Symbolic Music Evaluation


Fredformer: Frequency Debiased Transformer for Time Series Forecasting


Free Argumentative Exchanges for Explaining Image Classifiers


Free Energy Landscapes, Diffusion Coefficients, and Kinetic Rates from Transition Paths


Free Energy Node Embedding via Generalized Skip-gram with Negative Sampling


Free Fine-tuning: A Plug-and-Play Watermarking Scheme for Deep Neural Networks


Free Form Deformation, mesh morphing and reduced order methods: enablers for efficient aerodynamic shape optimization


Free Lunch for Domain Adversarial Training: Environment Label Smoothing


Free Lunch for Surgical Video Understanding by Distilling Self-Supervisions


Free Lunch for Testing: Fuzzing Deep-Learning Libraries from Open Source


Free Lunch in Pathology Foundation Model: Task-specific Model Adaptation with Concept-Guided Feature Enhancement


Free Lunch: Robust Cross-Lingual Transfer via Model Checkpoint Averaging


Free Process Rewards without Process Labels


Free Proxies Unmasked: A Vulnerability and Longitudinal Analysis of Free Proxy Services


Free Random Projection for In-Context Reinforcement Learning


Free Record-Level Privacy Risk Evaluation Through Artifact-Based Methods


Free Space Estimation using Occupancy Grids and Dynamic Object Detection


Free Video-LLM: Prompt-guided Visual Perception for Efficient Training-free Video LLMs


Free and Customizable Code Documentation with LLMs: A Fine-Tuning Approach


Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning


Free resolution of the logarithmic derivation modules of close to free arrangements


Free the Plural: Unrestricted Split-Antecedent Anaphora Resolution


Free water DTI estimates from single b-value data might seem plausible but must be interpreted with care


Free, flexible and fast: orientation mapping using the multi-core and GPU-accelerated template matching capabilities in the python-based open source 4D-STEM analysis toolbox Pyxem


Free-Bloom: Zero-Shot Text-to-Video Generator with LLM Director and LDM Animator


Free-Breathing Myocardial T1 Mapping using Inversion-Recovery Radial FLASH and Motion-Resolved Model-Based Reconstruction


Free-Editor: Zero-shot Text-driven 3D Scene Editing


Free-Form Variational Inference for Gaussian Process State-Space Models


Free-Knots Kolmogorov-Arnold Network: On the Analysis of Spline Knots and Advancing Stability


Free-Lunch Saliency via Attention in Atari Agents


Free-SurGS: SfM-Free 3D Gaussian Splatting for Surgical Scene Reconstruction


Free-T2M: Frequency Enhanced Text-to-Motion Diffusion Model With Consistency Loss


Free-energy estimates from nonequilibrium trajectories under varying-temperature protocols


Free-form 3D Scene Inpainting with Dual-stream GAN


Free-form Description Guided 3D Visual Graph Network for Object Grounding in Point Cloud


Free-form Design of Discrete Architectural Surfaces by use of Circle Packing


Free-form tumor synthesis in computed tomography images via richer generative adversarial network


Free-space model for a balloon-based quantum network


Free3D: Consistent Novel View Synthesis without 3D Representation


Free4D: Tuning-free 4D Scene Generation with Spatial-Temporal Consistency


FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models


FreeAugment: Data Augmentation Search Across All Degrees of Freedom


FreeBind: Free Lunch in Unified Multimodal Space via Knowledge Fusion


FreeCOS: Self-Supervised Learning from Fractals and Unlabeled Images for Curvilinear Object Segmentation


FreeCodec: A disentangled neural speech codec with fewer tokens


FreeCompose: Generic Zero-Shot Image Composition with Diffusion Prior


FreeCtrl: Constructing Control Centers with Feedforward Layers for Learning-Free Controllable Text Generation


FreeCustom: Tuning-Free Customized Image Generation for Multi-Concept Composition


FreeDOM: Online Dynamic Object Removal Framework for Static Map Construction Based on Conservative Free Space Estimation


FreeDiff: Progressive Frequency Truncation for Image Editing with Diffusion Models


FreeDrag: Feature Dragging for Reliable Point-based Image Editing


FreeEagle: Detecting Complex Neural Trojans in Data-Free Cases


FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models


FreeGave: 3D Physics Learning from Dynamic Videos by Gaussian Velocity


FreeGraftor: Training-Free Cross-Image Feature Grafting for Subject-Driven Text-to-Image Generation


FreeGuard: A Faster Secure Heap Allocator


FreeInit: Bridging Initialization Gap in Video Diffusion Models


FreeKD: Knowledge Distillation via Semantic Frequency Prompt


FreeLB: Enhanced Adversarial Training for Natural Language Understanding


FreeMan: Towards Benchmarking 3D Human Pose Estimation under Real-World Conditions


FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models


FreeNoise: Tuning-Free Longer Video Diffusion via Noise Rescheduling


FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis


FreePoint: Unsupervised Point Cloud Instance Segmentation


FreeREA: Training-Free Evolution-based Architecture Search


FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators


FreeSOLO: Learning to Segment Objects without Annotations


FreeSVC: Towards Zero-shot Multilingual Singing Voice Conversion


FreeSeed: Frequency-band-aware and Self-guided Network for Sparse-view CT Reconstruction


FreeStyle: Free Lunch for Text-guided Style Transfer using Diffusion Models


FreeTraj: Tuning-Free Trajectory Control in Video Diffusion Models


FreeV: Free Lunch For Vocoders Through Pseudo Inversed Mel Filter


FreeVA: Offline MLLM as Training-Free Video Assistant


Freebase-triples: A Methodology for Processing the Freebase Data Dumps


Freeform Body Motion Generation from Speech


Freehand Sketch Generation from Mechanical Components


Freely jointed chain models with extensible links


Freestyle, a randomized version of ChaCha for resisting offline brute-force and dictionary attacks


FreestyleRet: Retrieving Images from Style-Diversified Queries


FreezeAsGuard: Mitigating Illegal Adaptation of Diffusion Models via Selective Tensor Freezing


FreezeOut: Accelerate Training by Progressively Freezing Layers


Freezing of Gait Detection Using Gramian Angular Fields and Federated Learning from Wearable Sensors


Freezing of Gait Prediction From Accelerometer Data Using a Simple 1D-Convolutional Neural Network -- 8th Place Solution for Kaggle's Parkinson's Freezing of Gait Prediction Competition


French Onion Soup, Ipelets for Points and Polygons


FrenchMedMCQA: A French Multiple-Choice Question Answering Dataset for Medical domain


Frenet-Serret Frame-based Decomposition for Part Segmentation of 3D Curvilinear Structures


Frenetic steering in a nonequilibrium graph


Freq-Mip-AA : Frequency Mip Representation for Anti-Aliasing Neural Radiance Fields


FreqMamba: Viewing Mamba from a Frequency Perspective for Image Deraining


FreqMoE: Enhancing Time Series Forecasting through Frequency Decomposition Mixture of Experts


FreqRISE: Explaining time series using frequency masking


Freqformer: Image-Demoiréing Transformer via Efficient Frequency Decomposition


Frequency & Channel Attention for Computationally Efficient Sound Event Detection


Frequency Adaptive Normalization For Non-stationary Time Series Forecasting


Frequency Attention for Knowledge Distillation


Frequency Band Analysis of Nonstationary Multivariate Time Series


Frequency Cam: Imaging Periodic Signals in Real-Time


Frequency Domain Image Translation: More Photo-realistic, Better Identity-preserving


Frequency Domain Model Augmentation for Adversarial Attack


Frequency Domain Statistical Inference for High-Dimensional Time Series


Frequency Domain Transformer Networks for Video Prediction


Frequency Domain-based Dataset Distillation


Frequency Domain-based Perceptual Loss for Super Resolution


Frequency Dynamic Convolution for Dense Image Prediction


Frequency Enhanced Hybrid Attention Network for Sequential Recommendation


Frequency Enhanced Pre-training for Cross-city Few-shot Traffic Forecasting


Frequency Estimation Using Complex-Valued Shifted Window Transformer


Frequency Estimation of Evolving Data Under Local Differential Privacy


Frequency Explains the Inverse Correlation of Large Language Models' Size, Training Data Amount, and Surprisal's Fit to Reading Times


Frequency Is What You Need: Word-frequency Masking Benefits Vision-Language Model Pre-training


Frequency Masking for Universal Deepfake Detection


Frequency Regulation with Storage: On Losses and Profits


Frequency Spectrum is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector


Frequency Tracking Features for Data-Efficient Deep Siren Identification


Frequency analysis and filter design for directed graphs with polar decomposition


Frequency and Multi-Scale Selective Kernel Attention for Speaker Verification


Frequency bin-wise single channel speech presence probability estimation using multiple DNNs


Frequency maps reveal the correlation between Adversarial Attacks and Implicit Bias


Frequency-Adaptive Dilated Convolution for Semantic Segmentation


Frequency-Adaptive Pan-Sharpening with Mixture of Experts


Frequency-Assisted Mamba for Remote Sensing Image Super-Resolution


Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Learning


Frequency-Aware Density Control via Reparameterization for High-Quality Rendering of 3D Gaussian Splatting


Frequency-Aware Masked Autoencoders for Multimodal Pretraining on Biosignals


Frequency-Aware Self-Supervised Monocular Depth Estimation


Frequency-Aware Transformer for Learned Image Compression


Frequency-Based Alignment of EEG and Audio Signals Using Contrastive Learning and SincNet for Auditory Attention Detection


Frequency-Based Federated Domain Generalization for Polyp Segmentation


Frequency-Based Reduced Models from Purely Time-Domain Data via Data Informativity


Frequency-Based Vulnerability Analysis of Deep Learning Models against Image Corruptions


Frequency-Compensated Network for Daily Arctic Sea Ice Concentration Prediction


Frequency-Dependent F-Number Increases the Contrast and the Spatial Resolution in Fast Pulse-Echo Ultrasound Imaging


Frequency-Guided Masking for Enhanced Vision Self-Supervised Learning


Frequency-Masked Embedding Inference: A Non-Contrastive Approach for Time Series Representation Learning


Frequency-Modulated Point Cloud Rendering with Easy Editing


Frequency-Sliding Generalized Cross-Correlation: A Sub-band Time Delay Estimation Approach


Frequency-Spatial Entanglement Learning for Camouflaged Object Detection


Frequency-Supervised MR-to-CT Image Synthesis


Frequency-Temporal Attention Network for Singing Melody Extraction


Frequency-based Matcher for Long-tailed Semantic Segmentation


Frequency-based nanoparticle sensing over large field ranges using the ferromagnetic resonances of a magnetic nanodisc


Frequency-centroid features for word recognition of non-native English speakers


Frequency-domain alignment of heterogeneous, multidimensional separations data through complex orthogonal Procrustes analysis


Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity


Frequency-selective beamforming and single-shot beam training with dynamic metasurface antennas


FrequentNet: A Novel Interpretable Deep Learning Model for Image Classification


Frequentist Inference for Semi-mechanistic Epidemic Models with Interventions


Frequentist Uncertainties on Neural Density Ratios with wifi Ensembles


Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions


FreshRetailNet-50K: A Stockout-Annotated Censored Demand Dataset for Latent Demand Recovery and Forecasting in Fresh Retail


Freshness and Informativity Weighted Cognitive Extent and Its Correlation with Cumulative Citation Count


Friction Interventions to Curb the Spread of Misinformation on Social Media


Frictional Agent Alignment Framework: Slow Down and Don't Break Things


Frictional dynamics of viscoelastic solids driven on a rough surface


Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis


Friedel oscillations in one-dimensional 4He


Friedkin-Johnsen Model for Opinion Dynamics on Signed Graphs


Friend Ranking in Online Games via Pre-training Edge Transformers


FriendNet: Detection-Friendly Dehazing Network


Friendly Neighbors: Contextualized Sequence-to-Sequence Link Prediction


Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attacks


Friends-MMC: A Dataset for Multi-modal Multi-party Conversation Understanding


FriendsQA: A New Large-Scale Deep Video Understanding Dataset with Fine-grained Topic Categorization for Story Videos


Friendship Paradox Biases Perceptions in Directed Networks


Friendships, Rivalries, and Trysts: Characterizing Relations between Ideas in Texts


Frieren: Efficient Video-to-Audio Generation Network with Rectified Flow Matching


Frisbee: automated testing of Cloud-native applications in Kubernetes


Frivolous Units: Wider Networks Are Not Really That Wide


FroSSL: Frobenius Norm Minimization for Efficient Multiview Self-Supervised Learning


Frobenius Additive Fast Fourier Transform


Frobenius distributions of low dimensional abelian varieties over finite fields


Frobenius structures on hypergeometric equations


Frog Soup: Zero-Shot, In-Context, and Sample-Efficient Frogger Agents


From $SU(2)$ holonomies to holographic duality via tensor networks


From 2D Images to 3D Model:Weakly Supervised Multi-View Face Reconstruction with Deep Fusion


From Abstract to Actionable: Pairwise Shapley Values for Explainable AI


From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework


From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport


From Alignment to Assignment: Frustratingly Simple Unsupervised Entity Alignment


From Alignment to Entailment: A Unified Textual Entailment Framework for Entity Alignment


From Allies to Adversaries: Manipulating LLM Tool-Calling through Adversarial Injection


From Analog to Digital: Multi-Order Digital Joint Coding-Modulation for Semantic Communication


From Artificial Needles to Real Haystacks: Improving Retrieval Capabilities in LLMs by Finetuning on Synthetic Data


From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery


From Association to Generation: Text-only Captioning by Unsupervised Cross-modal Mapping


From Attachments to SEO: Click Here to Learn More about Clickbait PDFs!


From Attack to Defense: Insights into Deep Learning Security Measures in Black-Box Settings


From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations


From Automation to Autonomy: A Survey on Large Language Models in Scientific Discovery


From Axioms to Algorithms: Mechanized Proofs of the vNM Utility Theorem


From Babble to Words: Pre-Training Language Models on Continuous Streams of Phonemes


From Babbling to Fluency: Evaluating the Evolution of Language Models in Terms of Human Language Acquisition


From Bag of Sentences to Document: Distantly Supervised Relation Extraction via Machine Reading Comprehension


From Barlow Twins to Triplet Training: Differentiating Dementia with Limited Data


From Base to Conversational: Japanese Instruction Dataset and Tuning Large Language Models


From Biased Selective Labels to Pseudo-Labels: An Expectation-Maximization Framework for Learning from Biased Decisions


From Biased to Unbiased Dynamics: An Infinitesimal Generator Approach


From Big to Small Without Losing It All: Text Augmentation with ChatGPT for Efficient Sentiment Analysis


From Bits to Qubits: Challenges in Classical-Quantum Integration


From Black Boxes to Conversations: Incorporating XAI in a Conversational Agent


From Brainwaves to Brain Scans: A Robust Neural Network for EEG-to-fMRI Synthesis


From Bugs to Breakthroughs: Novice Errors in CS2


From Bytes to Borsch: Fine-Tuning Gemma and Mistral for the Ukrainian Language Representation


From CLIP to DINO: Visual Encoders Shout in Multi-modal Large Language Models


From CNNs to Shift-Invariant Twin Models Based on Complex Wavelets


From COCO to COCO-FP: A Deep Dive into Background False Positives for COCO Detectors


From Canonical Correlation Analysis to Self-supervised Graph Neural Networks


From Captions to Visual Concepts and Back


From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection


From Chaos to Clarity: Claim Normalization to Empower Fact-Checking


From Chaos to Clarity: Time Series Anomaly Detection in Astronomical Observations


From Charts to Atlas: Merging Latent Spaces into One


From Chatter to Matter: Addressing Critical Steps of Emotion Recognition Learning in Task-oriented Dialogue


From Claims to Evidence: A Unified Framework and Critical Analysis of CNN vs. Transformer vs. Mamba in Medical Image Segmentation


From Classical Machine Learning to Emerging Foundation Models: Review on Multimodal Data Integration for Cancer Research


From Classification to Clinical Insights: Towards Analyzing and Reasoning About Mobile and Behavioral Health Data With Large Language Models


From Clicks to Carbon: The Environmental Toll of Recommender Systems


From Cloud to Edge: A First Look at Public Edge Platforms


From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited


From Coarse to Fine: Hierarchical Pixel Integration for Lightweight Image Super-Resolution


From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical Debugging


From Commands to Prompts: LLM-based Semantic File System for AIOS


From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large Language Models


From Concept to Field Tests: Accelerated Development of Multi-AUV Missions Using a High-Fidelity Faster-than-Real-Time Simulator


From Consensus to Disagreement: Multi-Teacher Distillation for Semi-Supervised Relation Extraction


From Counterfactuals to Trees: Competitive Analysis of Model Extraction Attacks


From Course to Skill: Evaluating LLM Performance in Curricular Analytics


From Credit Assignment to Entropy Regularization: Two New Algorithms for Neural Sequence Prediction


From Cyber Threat to Data Shield: Constructing Provably Secure File Erasure with Repurposed Ransomware Cryptography


From Dark Matter to Galaxies with Convolutional Networks


From Dark Matter to Galaxies with Convolutional Neural Networks


From Data Dump to Digestible Chunks: Automated Segmentation and Summarization of Provenance Logs for Communication


From Data to Dialogue: Leveraging the Structure of Knowledge Graphs for Conversational Exploratory Search


From Data to Predictive Control: A Framework for Stochastic Linear Systems with Output Measurements


From Dataset Recycling to Multi-Property Extraction and Beyond


From Debate to Equilibrium: Belief-Driven Multi-Agent LLM Reasoning via Bayesian Nash Equilibrium


From Deep Additive Kernel Learning to Last-Layer Bayesian Neural Networks via Induced Prior Approximation


From Demonstrations to Rewards: Alignment Without Explicit Human Preferences


From Denoising Diffusions to Denoising Markov Models


From Denoising Training to Test-Time Adaptation: Enhancing Domain Generalization for Medical Image Segmentation


From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression


From Dense to Sparse: Event Response for Enhanced Residential Load Forecasting


From Density to Geometry: YOLOv8 Instance Segmentation for Reverse Engineering of Optimized Structures


From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization


From Discrimination to Generation: Knowledge Graph Completion with Generative Transformer


From Disfluency Detection to Intent Detection and Slot Filling


From Distributional to Overton Pluralism: Investigating Large Language Model Alignment


From Drinking Philosophers to Asynchronous Path-Following Robots


From EMBER to FIRE: predicting high resolution baryon fields from dark matter simulations with Deep Learning


From Easy to Hard: Building a Shortcut for Differentially Private Image Synthesis


From Easy to Hard: Progressive Active Learning Framework for Infrared Small Target Detection with Single Point Supervision


From Emergence to Control: Probing and Modulating Self-Reflection in Language Models


From Empirical Measurements to Augmented Data Rates: A Machine Learning Approach for MCS Adaptation in Sidelink Communication


From English to ASIC: Hardware Implementation with Large Language Model


From English to Code-Switching: Transfer Learning with Strong Morphological Clues


From Examples to Rules: Neural Guided Rule Synthesis for Information Extraction


From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by Step


From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions


From Eye-blinks to State Construction: Diagnostic Benchmarks for Online Representation Learning


From FDG to PSMA: A Hitchhiker's Guide to Multitracer, Multicenter Lesion Segmentation in PET/CT Imaging


From FPGAs to Obfuscated eASICs: Design and Security Trade-offs


From Face to Natural Image: Learning Real Degradation for Blind Image Super-Resolution


From Fads to Classics -- Analyzing Video Game Trend Evolutions through Steam Tags


From Fake to Real: Pretraining on Balanced Synthetic Images to Prevent Spurious Correlations in Image Recognition


From Feature Importance to Natural Language Explanations Using LLMs with RAG


From Few-Shot Optimal Control to Few-Shot Learning


From Fibers to Cells: Fourier-Based Registration Enables Virtual Cresyl Violet Staining From 3D Polarized Light Imaging


From First Patch to Long-Term Contributor: Evaluating Onboarding Recommendations for OSS Newcomers


From Flexibility to Manipulation: The Slippery Slope of XAI Evaluation


From Forest to Zoo: Great Ape Behavior Recognition with ChimpBehave


From Form(s) to Meaning: Probing the Semantic Depths of Language Models Using Multisense Consistency


From GaLore to WeLore: How Low-Rank Weights Non-uniformly Emerge from Low-Rank Gradients


From Galaxy Zoo DECaLS to BASS/MzLS: detailed galaxy morphology classification with unsupervised domain adaption


From General to Specific: Informative Scene Graph Generation via Balance Adjustment


From Generalist to Specialist: A Survey of Large Language Models for Chemistry


From Generality to Mastery: Composer-Style Symbolic Music Generation via Large-Scale Pre-training


From Generalized zero-shot learning to long-tail with class descriptors


From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge


From Graph to Word Bag: Introducing Domain Knowledge to Confusing Charge Prediction


From Handcrafted to Deep Features for Pedestrian Detection: A Survey


From Hardware Fingerprint to Access Token: Enhancing the Authentication on IoT Devices


From Head to Tail: Efficient Black-box Model Inversion Attack via Long-tailed Learning


From Heuristic to Analytic: Cognitively Motivated Strategies for Coherent Physical Commonsense Reasoning


From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space


From Hours to Minutes: Lossless Acceleration of Ultra Long Sequence Generation up to 100K Tokens


From Hyperbolic Geometry Back to Word Embeddings


From ID-based to ID-free: Rethinking ID Effectiveness in Multimodal Collaborative Filtering Recommendation


From Image Collections to Point Clouds with Self-supervised Shape and Pose Networks


From Image to Imuge: Immunized Image Generation


From ImageNet to Image Classification: Contextualizing Progress on Benchmarks


From Images to Connections: Can DQN with GNNs learn the Strategic Game of Hex?


From Images to Features: Unbiased Morphology Classification via Variational Auto-Encoders and Domain Adaptation


From Imitation to Introspection: Probing Self-Consciousness in Language Models


From Implicit to Explicit feedback: A deep neural network for modeling sequential behaviours and long-short term preferences of online users


From Incremental Meaning to Semantic Unit (phrase by phrase)


From Independent Prediction to Re-ordered Prediction: Integrating Relative Position and Global Label Information to Emotion Cause Identification


From Individual Experience to Collective Evidence: A Reporting-Based Framework for Identifying Systemic Harms


From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents


From Inductive to Deductive: LLMs-Based Qualitative Data Analysis in Requirements Engineering


From Innovations to Prospects: What Is Hidden Behind Cryptocurrencies?


From Insights to Actions: The Impact of Interpretability and Analysis Research on NLP


From Instance Training to Instruction Learning: Task Adapters Generation from Instructions


From Instantaneous to Predictive Control: A More Intuitive and Tunable MPC Formulation for Robot Manipulators


From Interests to Insights: An LLM Approach to Course Recommendations Using Natural Language Queries


From Interpolation to Extrapolation: Complete Length Generalization for Arithmetic Transformers


From Invariant Representations to Invariant Data: Provable Robustness to Spurious Correlations via Noisy Counterfactual Matching


From Inverse Optimization to Feasibility to ERM


From Key Points to Key Point Hierarchy: Structured and Expressive Opinion Summarization


From Knowledge to Reasoning: Evaluating LLMs for Ionic Liquids Research in Chemical and Biological Engineering


From Lab to Pocket: A Novel Continual Learning-based Mobile Application for Screening COVID-19


From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction Tuning


From Languages to Geographies: Towards Evaluating Cultural Bias in Hate Speech Datasets


From Library Portability to Para-rehosting: Natively Executing Microcontroller Software on Commodity Hardware


From Linguistic Giants to Sensory Maestros: A Survey on Cross-Modal Reasoning with Large Language Models


From Little Things Big Things Grow: A Collection with Seed Studies for Medical Systematic Review Literature Search


From Local Atomic Environments to Molecular Information Entropy


From Local Details to Global Context: Advancing Vision-Language Models with Attention-Based Selection


From Local to Global: Navigating Linguistic Diversity in the African Context


From Local to Global: Spectral-Inspired Graph Neural Networks


From Loops to Oops: Fallback Behaviors of Language Models Under Uncertainty


From Low Intrinsic Dimensionality to Non-Vacuous Generalization Bounds in Deep Multi-Task Learning


From MLP to NeoMLP: Leveraging Self-Attention for Neural Fields


From MNIST to ImageNet and Back: Benchmarking Continual Curriculum Learning


From Machine Translation to Code-Switching: Generating High-Quality Code-Switched Text


From Magic State Distillation to Dynamical Systems


From Majority to Minority: A Diffusion-based Augmentation for Underrepresented Groups in Skin Lesion Analysis


From Many to One: Consensus Inference in a MIP


From Markov to Laplace: How Mamba In-Context Learns Markov Chains


From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understanding


From Matching to Generation: A Survey on Generative Information Retrieval


From Mesh Completion to AI Designed Crown


From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models


From Model-Based to Model-Free: Learning Building Control for Demand Response


From Models to Microtheories: Distilling a Model's Topical Knowledge for Grounded Question Answering


From Modern CNNs to Vision Transformers: Assessing the Performance, Robustness, and Classification Strategies of Deep Learning Models in Histopathology


From Modular Graph Forms to Iterated Integrals


From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property Prediction


From Monte Carlo to Las Vegas: Improving Restricted Boltzmann Machine Training Through Stopping Sets


From Multi-View to Hollow-3D: Hallucinated Hollow-3D R-CNN for 3D Object Detection


From Multilingual Complexity to Emotional Clarity: Leveraging Commonsense to Unveil Emotions in Code-Mixed Dialogues


From Multiple-Choice to Extractive QA: A Case Study for English and Arabic


From My View to Yours: Ego-Augmented Learning in Large Vision Language Models for Understanding Exocentric Daily Living Activities


From Natural Language to Extensive-Form Game Representations


From Natural Language to Simulations: Applying GPT-3 Codex to Automate Simulation Modeling of Logistics Systems


From Neurons to Neutrons: A Case Study in Interpretability


From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection


From News to Medical: Cross-domain Discourse Segmentation


From News to Summaries: Building a Hungarian Corpus for Extractive and Abstractive Summarization


From Node Embedding To Community Embedding


From Node Interaction to Hop Interaction: New Effective and Scalable Graph Learning Paradigm


From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning


From None to Severe: Predicting Severity in Movie Scripts


From Nuisance to News Sense: Augmenting the News with Cross-Document Evidence and Context


From Numbers to Words: Multi-Modal Bankruptcy Prediction Using the ECL Dataset


From On-chain to Macro: Assessing the Importance of Data Source Diversity in Cryptocurrency Market Forecasting


From Open Vocabulary to Open World: Teaching Vision Language Models to Detect Novel Objects


From PEFT to DEFT: Parameter Efficient Finetuning for Reducing Activation Density in Transformers


From Paper to Platform: Evolution of a Novel Learning Environment for Tabletop Exercises


From Partial to Monadic: Combinatory Algebra with Effects


From Parts to Whole: A Unified Reference Framework for Controllable Human Image Generation


From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information?


From Patch to Image Segmentation using Fully Convolutional Networks -- Application to Retinal Images


From Philosophy to Interfaces: an Explanatory Method and a Tool Inspired by Achinstein's Theory of Explanation


From Pixel to Cancer: Cellular Automata in Computed Tomography


From Pixels to Histopathology: A Graph-Based Framework for Interpretable Whole Slide Image Analysis


From Pixels to Insights: A Survey on Automatic Chart Understanding in the Era of Large Foundation Models


From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature Selection


From Pixels to Progress: Generating Road Network from Satellite Imagery for Socioeconomic Insights in Impoverished Areas


From Pixels to Titles: Video Game Identification by Screenshots using Convolutional Neural Networks


From Pixels to UI Actions: Learning to Follow Instructions via Graphical User Interfaces


From Play to Replay: Composed Video Retrieval for Temporally Fine-Grained Videos


From Playground Swings to Sway Control of Cranes: An Active Pendulum Experiment


From Points to Functions: Infinite-dimensional Representations in Diffusion Models


From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network


From Poses to Identity: Training-Free Person Re-Identification via Feature Centralization


From Prediction to Planning With Goal Conditioned Lane Graph Traversals


From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models


From Priest to Doctor: Domain Adaptaion for Low-Resource Neural Machine Translation


From Primes to Paths: Enabling Fast Multi-Relational Graph Analysis


From Principal Subspaces to Principal Components with Linear Autoencoders


From Principle to Practice: Vertical Data Minimization for Machine Learning


From Problem-Solving to Teaching Problem-Solving: Aligning LLMs with Pedagogy using Reinforcement Learning


From Programming Bugs to Multimillion-Dollar Scams: An Analysis of Trapdoor Tokens on Uniswap


From QoS Distributions to QoE Distributions: a System's Perspective


From Question to Exploration: Test-Time Adaptation in Semantic Segmentation?


From Questions to Clinical Recommendations: Large Language Models Driving Evidence-Based Clinical Decision Making


From RAG to QA-RAG: Integrating Generative AI for Pharmaceutical Regulatory Compliance Process


From RGB images to Dynamic Movement Primitives for planar tasks


From Random to Supervised: A Novel Dropout Mechanism Integrated with Global Information


From Rankings to Insights: Evaluation Should Shift Focus from Leaderboard to Feedback


From Raw Data to Structural Semantics: Trade-offs among Distortion, Rate, and Inference Accuracy


From Reactive to Proactive Volatility Modeling with Hemisphere Neural Networks


From Reading to Compressing: Exploring the Multi-document Reader for Prompt Compression


From Real to Cloned Singer Identification


From Reality to Recognition: Evaluating Visualization Analogies for Novice Chart Comprehension


From Recognition to Prediction: Leveraging Sequence Reasoning for Action Anticipation


From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning Tasks


From Region to Patch: Attribute-Aware Foreground-Background Contrastive Learning for Fine-Grained Fashion Retrieval


From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks


From Relevance to Utility: Evidence Retrieval with Feedback for Fact Verification


From Representation to Reasoning: Towards both Evidence and Commonsense Reasoning for Video Question-Answering


From Representational Harms to Quality-of-Service Harms: A Case Study on Llama 2 Safety Safeguards


From Reproduction to Replication: Evaluating Research Agents with Progressive Code Masking


From Requirements to Architecture: An AI-Based Journey to Semi-Automatically Generate Software Architectures


From Restless to Contextual: A Thresholding Bandit Approach to Improve Finite-horizon Performance


From Reversible Programs to Univalent Universes and Back


From Roots to Rewards: Dynamic Tree Reasoning with RL


From SMOTE to Mixup for Deep Imbalanced Classification


From Scarcity to Capability: Empowering Fake News Detection in Low-Resource Languages with LLMs


From Search To Sampling: Generative Models For Robust Algorithmic Recourse


From Seconds to Hours: Reviewing MultiModal Large Language Models on Comprehensive Long Video Understanding


From Seedling to Harvest: The GrowingSoy Dataset for Weed Detection in Soy Crops via Instance Segmentation


From Seeing to Doing: Bridging Reasoning and Decision for Robotic Manipulation


From Semi-supervised to Omni-supervised Room Layout Estimation Using Point Clouds


From Shadow Generation to Shadow Removal


From Shadows to Safety: Occlusion Tracking and Risk Mitigation for Urban Autonomous Driving


From Shapes to Shapes: Inferring SHACL Shapes for Results of SPARQL CONSTRUCT Queries (Extended Version)


From Shortcuts to Triggers: Backdoor Defense with Denoised PoE


From Similarity to Superiority: Channel Clustering for Time Series Forecasting


From Simple to Complex: A Progressive Framework for Document-level Informative Argument Extraction


From Simple to Professional: A Combinatorial Controllable Image Captioning Agent


From Single to Multi: How LLMs Hallucinate in Multi-Document Summarization


From Single-Visit to Multi-Visit Image-Based Models: Single-Visit Models are Enough to Predict Obstructive Hydronephrosis


From Skepticism to Acceptance: Simulating the Attitude Dynamics Toward Fake News


From Sky to the Ground: A Large-scale Benchmark and Simple Baseline Towards Real Rain Removal


From Sleep Staging to Spindle Detection: Evaluating End-to-End Automated Sleep Analysis


From Smør-re-brød to Subwords: Training LLMs on Danish, One Morpheme at a Time


From Sora What We Can See: A Survey of Text-to-Video Generation


From Sound Workflow Nets to LTLf Declarative Specifications by Casting Three Spells


From Sparse Dependence to Sparse Attention: Unveiling How Chain-of-Thought Enhances Transformer Sample Efficiency


From Specific to Generic Learned Sorted Set Dictionaries: A Theoretically Sound Paradigm Yelding Competitive Data Structural Boosters in Practice


From Spectra to Biophysical Insights: End-to-End Learning with a Biased Radiative Transfer Model


From Spikes to Speech: NeuroVoc -- A Biologically Plausible Vocoder Framework for Auditory Perception and Cochlear Implant Simulation


From Spin Waves to Monte Carlo Simulations: Compiling an Experimental Exchange Interaction Dataset for Magnetic Materials


From Stance to Concern: Adaptation of Propositional Analysis to New Tasks and Domains


From Stars to Insights: Exploration and Implementation of Unified Sentiment Analysis with Distant Supervision


From Static to Adaptive Defense: Federated Multi-Agent Deep Reinforcement Learning-Driven Moving Target Defense Against DoS Attacks in UAV Swarm Networks


From Static to Dynamic Structures: Improving Binding Affinity Prediction with Graph-Based Deep Learning


From Static to Dynamic: A Continual Learning Framework for Large Language Models


From Symbols to Embeddings: A Tale of Two Representations in Computational Social Science


From Symmetry to Asymmetry: Generalizing TSP Approximations by Parametrization


From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Data


From System 1 to System 2: A Survey of Reasoning Large Language Models


From TOWER to SPIRE: Adding the Speech Modality to a Text-Only LLM


From Tens of Hours to Tens of Thousands: Scaling Back-Translation for Speech Recognition


From Tensor Network Quantum States to Tensorial Recurrent Neural Networks


From Text to Context: An Entailment Approach for News Stakeholder Classification


From Text to Databases: attribute grammar as database meta-model


From Text to Emotion: Unveiling the Emotion Annotation Capabilities of LLMs


From Text to Map: A System Dynamics Bot for Constructing Causal Loop Diagrams


From Text to Mask: Localizing Entities Using the Attention of Text-to-Image Diffusion Models


From Text to Pixel: Advancing Long-Context Understanding in MLLMs


From Text to Pose to Image: Improving Diffusion Model Control and Quality


From Text to Space: Mapping Abstract Spatial Models in LLMs during a Grid-World Navigation Task


From Text to Structure: Using Large Language Models to Support the Development of Legal Expert Systems


From Theory to Application: A Practical Introduction to Neural Operators in Scientific Computing


From Theory to Behaviour: Towards a General Model of Engagement


From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation


From Theory to Practice: Analyzing VQPM for Quantum Optimization of QUBO Problems


From Theory to Therapy: Reframing SBDD Model Evaluation via Practical Metrics


From Third Person to First Person: Dataset and Baselines for Synthesis and Retrieval


From Time Series to Networks in R with the ts2net Package


From Tiny Machine Learning to Tiny Deep Learning: A Survey


From Tissue Plane to Organ World: A Benchmark Dataset for Multimodal Biomedical Image Registration using Deep Co-Attention Networks


From Token to Action: State Machine Reasoning to Mitigate Overthinking in Information Retrieval


From Tokens to Materials: Leveraging Language Models for Scientific Discovery


From Tools to Teammates: Evaluating LLMs in Multi-Session Coding Interactions


From Trade-off to Synergy: A Versatile Symbiotic Watermarking Framework for Large Language Models


From Transparent to Opaque: Rethinking Neural Implicit Surfaces with $α$-NeuS


From Trial Division to Smooth Prime Indicators


From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion Models


From Two-Dimensional to Three-Dimensional Environment with Q-Learning: Modeling Autonomous Navigation with Reinforcement Learning and no Libraries


From Ultra-Fine to Fine: Fine-tuning Ultra-Fine Entity Typing Models to Fine-grained


From Uncertain to Safe: Conformal Fine-Tuning of Diffusion Models for Safe PDE Control


From Uncertainty Data to Robust Policies for Temporal Logic Planning


From Uncertainty to Precision: Enhancing Binary Classifier Performance through Calibration


From Uncertainty to Trust: Enhancing Reliability in Vision-Language Models with Uncertainty-Guided Dropout Decoding


From Vague Instructions to Task Plans: A Feedback-Driven HRC Task Planning Framework based on LLMs


From Values to Opinions: Predicting Human Behaviors and Stances Using Value-Injected Large Language Models


From Variability to Stability: Advancing RecSys Benchmarking Practices


From Variance to Veracity: Unbundling and Mitigating Gradient Variance in Differentiable Bundle Adjustment Layers


From Variational to Deterministic Autoencoders


From Video Game to Real Robot: The Transfer between Action Spaces


From Videos to URLs: A Multi-Browser Guide To Extract User's Behavior with Optical Character Recognition


From Vision to Audio and Beyond: A Unified Model for Audio-Visual Representation and Generation


From Vision to Sound: Advancing Audio Anomaly Detection with Vision-Based Algorithms


From Vocal Instructions to Household Tasks: The Inria Tiago++ in the euROBIN Service Robots Coopetition


From Volcano to Toyshop: Adaptive Discriminative Region Discovery for Scene Recognition


From Votes to Volatility Predicting the Stock Market on Election Day


From Weak to Strong Sound Event Labels using Adaptive Change-Point Detection and Active Learning


From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents


From What to How: Attributing CLIP's Latent Components Reveals Unexpected Semantic Reliance


From What to Respond to When to Respond: Timely Response Generation for Open-domain Dialogue Agents


From Whole-slide Image to Biomarker Prediction: A Protocol for End-to-End Deep Learning in Computational Pathology


From Word Embedding to Reading Embedding Using Large Language Model, EEG and Eye-tracking


From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought


From Word Segmentation to POS Tagging for Vietnamese


From Words to Numbers: Your Large Language Model Is Secretly A Capable Regressor When Given In-Context Examples


From Words to Wires: Generating Functioning Electronic Devices from Natural Language Descriptions


From Xception to NEXcepTion: New Design Decisions and Neural Architecture Search


From Zero to Detail: Deconstructing Ultra-High-Definition Image Restoration from Progressive Spectral Perspective


From Zero to Fog: Efficient Engineering of Fog-Based Internet of Things Applications


From Zero to Hero: Cold-Start Anomaly Detection


From Zero to Hero: Convincing with Extremely Complicated Math


From Zero to Hero: Examining the Power of Symbolic Tasks in Instruction Tuning


From Zero to Hero: Harnessing Transformers for Biomedical Named Entity Recognition in Zero- and Few-shot Contexts


From Zero to Turbulence: Generative Modeling for 3D Flow Simulation


From Zero-Shot Learning to Cold-Start Recommendation


From a Bird's Eye View to See: Joint Camera and Subject Registration without the Camera Calibration


From an Image to a Scene: Learning to Imagine the World from a Million 360 Videos


From an Interior Point to a Corner Point: Smart Crossover


From axioms over graphs to vectors, and back again: evaluating the properties of graph-based ontology embeddings


From bilinear regression to inductive matrix completion: a quasi-Bayesian analysis


From block-Toeplitz matrices to differential equations on graphs: towards a general theory for scalable masked Transformers


From centre to centres: polycentric structures in individual mobility


From classical to quantum walks with stochastic resetting on networks


From data to functa: Your data point is a function and you can treat it like one


From deep learning to mechanistic understanding in neuroscience: the structure of retinal prediction


From eigenvector nonlinearities to eigenvalue nonlinearities


From electrons to phase diagrams with classical and machine learning potentials: automated workflows for materials science with pyiron


From enhanced sampling to reaction profiles


From exemplar to copy: the scribal appropriation of a Hadewijch manuscript computationally explored


From few to many maps: A fast map-level emulator for extreme augmentation of CMB systematics datasets


From genome to phenome: Predicting multiple cancer phenotypes based on somatic genomic alterations via the genomic impact transformer


From global to local MDI variable importances for random forests and when they are Shapley values


From graphs to DAGs: a low-complexity model and a scalable algorithm


From heavy rain removal to detail restoration: A faster and better network


From homeostasis to resource sharing: Biologically and economically aligned multi-objective multi-agent AI safety benchmarks


From human experts to machines: An LLM supported approach to ontology and knowledge graph construction


From isotonic to Lipschitz regression: a new interpolative perspective on shape-restricted estimation


From latent dynamics to meaningful representations


From local to global gene co-expression estimation using single-cell RNA-seq data


From low-rank approximation to an efficient rational Krylov subspace method for the Lyapunov equation


From masses and radii of neutron stars to EOS of nuclear matter through neural network


From noisy observables to accurate ground state energies: a quantum classical signal subspace approach with denoising


From noisy point clouds to complete ear shapes: unsupervised pipeline


From observations to complexity of quantum states via unsupervised learning


From partners to populations: A hierarchical Bayesian account of coordination and convention


From perception to control: an autonomous driving system for a formula student driverless car


From point forecasts to multivariate probabilistic forecasts: The Schaake shuffle for day-ahead electricity price forecasting


From prediction markets to interpretable collective intelligence


From raw affiliations to organization identifiers


From river flow to spatial flow: flow map via river flow directions assignment algorithm


From seagull to hummingbird: New diagnostic methods for resolving galaxy activity


From seeing to remembering: Images with harder-to-reconstruct representations leave stronger memory traces


From short-sighted to far-sighted: A comparative study of recursive machine learning approaches for open quantum systems


From social interactions to private environmental behaviours: The case of consumer food waste


From sound to meaning in the auditory cortex: A neuronal representation and classification analysis


From structure mining to unsupervised exploration of atomic octahedral networks


From the Least to the Most: Building a Plug-and-Play Visual Reasoner via Data Synthesis


From the One, Judge of the Whole: Typed Entailment Graph Construction with Predicate Generation


From the logistic-sigmoid to nlogistic-sigmoid: modelling the COVID-19 pandemic growth


From the simplex to the sphere: Faster constrained optimization using the Hadamard parametrization


From trust in news to disagreement: is misinformation more controversial?


From underwater to aerial: a novel multi-scale knowledge distillation approach for coral reef monitoring


From {Solution Synthesis} to {Student Attempt Synthesis} for Block-Based Visual Programming Tasks


Fron CAD to URDF: Co-Design of a Jet-Powered Humanoid Robot Including CAD Geometry


Front Transport Reduction for Complex Moving Fronts


Front speed and pattern selection of a propagating chemical front in an active fluid


Front stability of infinitely steep travelling waves in population biology


Front-end Replication Dynamic Window (FRDW) for Online Motor Imagery Classification


Front2Back: Single View 3D Shape Reconstruction via Front to Back Prediction


Frontal Attack: Leaking Control-Flow in SGX via the CPU Frontend


Frontier Detection and Reachability Analysis for Efficient 2D Graph-SLAM Based Active Exploration


FrontierNet: Learning Visual Cues to Explore


Frontiers in Scalable Distributed Control: SLS, MPC, and Beyond


Frontiers, challenges, and solutions in modeling of swift heavy ion effects in materials


Frontrunner Jones and the Raiders of the Dark Forest: An Empirical Study of Frontrunning on the Ethereum Blockchain


Fronts under arrest II: analytical foundations


FrostNet: Towards Quantization-Aware Network Architecture Search


Frosting Weights for Better Continual Training


Frouros: A Python library for drift detection in machine learning systems


Frozen CLIP Models are Efficient Video Learners


Frozen Transformers in Language Models Are Effective Visual Encoder Layers


Frugal LMs Trained to Invoke Symbolic Solvers Achieve Parameter-Efficient Arithmetic Reasoning


Fruit Mapping with Shape Completion for Autonomous Crop Monitoring


FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields


Fruitbat: A Python Package for Estimating Redshifts of Fast Radio Bursts


Frustratingly Easy Edit-based Linguistic Steganography with a Masked Language Model


Frustratingly Easy Noise-aware Training of Acoustic Models


Frustratingly Easy Person Re-Identification: Generalizing Person Re-ID in Practice


Frustratingly Simple Pretraining Alternatives to Masked Language Modeling


Frustration induced Itinerant Ferromagnetism of Fermions in Optical Lattice


Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal 3D Object Detection


FrustumFormer: Adaptive Instance-aware Resampling for Multi-view 3D Detection


Fréchet Radiomic Distance (FRD): A Versatile Metric for Comparing Medical Imaging Datasets


Fréchet Wavelet Distance: A Domain-Agnostic Metric for Image Generation


FsPONER: Few-shot Prompt Optimization for Named Entity Recognition in Domain-specific Scenarios


FsaNet: Frequency Self-attention for Semantic Segmentation


FuDFEND: Fuzzy-domain for Multi-domain Fake News Detection


FuRL: Visual-Language Models as Fuzzy Rewards for Reinforcement Learning


FuRPE: Learning Full-body Reconstruction from Part Experts


FuSS: Fusing Superpixels for Improved Segmentation Consistency


FuSeConv: Fully Separable Convolutions for Fast Inference on Systolic Arrays


Fuelling the search for light dark matter-electron scattering with spherical proportional counters


Fulde-Ferrell-Larkin-Ovchinnikov state induced by antiferromagnetic order in $κ$-type organic conductors


Full Automation of Goal-driven LLM Dialog Threads with And-Or Recursors and Refiner Oracles


Full Bayesian Significance Testing for Neural Networks


Full LTL Synthesis over Infinite-state Arenas


Full Phase Space Resonant Anomaly Detection


Full Reference Screen Content Image Quality Assessment by Fusing Multi-level Structure Similarity


Full Shape Cosmology Analysis from BOSS in configuration space using Neural Network Acceleration


Full Transformer Framework for Robust Point Cloud Registration with Deep Information Interaction


Full covariance of CMB and lensing reconstruction power spectra


Full reference point cloud quality assessment using support vector regression


Full scale, microscopically resolved tomographies of sandstone and carbonate rocks augmented by experimental porosity and permeability values


Full sky Integrated Sachs-Wolfe maps for the MICE Grand Challenge lightcone simulation


Full waveform inversion by model extension: practical applications


Full-Atom Peptide Design based on Multi-modal Flow Matching


Full-Atom Peptide Design with Geometric Latent Diffusion


Full-Atom Protein Pocket Design via Iterative Refinement


Full-Body Articulated Human-Object Interaction


Full-Body Motion Reconstruction with Sparse Sensing from Graph Perspective


Full-Body Visual Self-Modeling of Robot Morphologies


Full-Capacity Unitary Recurrent Neural Networks


Full-DoF Egomotion Estimation for Event Cameras Using Geometric Solvers


Full-Head Segmentation of MRI with Abnormal Brain Anatomy: Model and Data Release


Full-Information Estimation of Heterogeneous Agent Models Using Macro and Micro Data


Full-Low Evaluation Methods For Bound and Linearly Constrained Derivative-Free Optimization


Full-Stack End-To-End mmWave Simulations Using 3GPP and NYUSIM Channel Model in ns-3


Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation


Full-Stage Pseudo Label Quality Enhancement for Weakly-supervised Temporal Action Localization


Full-Text Argumentation Mining on Scientific Publications


Full-Text and URL Search Over Web Archives


Full-dose Whole-body PET Synthesis from Low-dose PET Using High-efficiency Denoising Diffusion Probabilistic Model: PET Consistency Model


Full-field surrogate modeling of cardiac function encoding geometric variability


Full-frequency dynamic convolution: a physical frequency-dependent convolution for sound event detection


Full-resolution MLPs Empower Medical Dense Prediction


Full-resolution quality assessment for pansharpening


Full-scale Representation Guided Network for Retinal Vessel Segmentation


Full-shape analysis with simulation-based priors: constraints on single field inflation from BOSS


Full-stack Comparison of Channel Models for Networks Above 100 GHz in an Indoor Scenario


Full-waveform earthquake source inversion using simulation-based inference


FullCert: Deterministic End-to-End Certification for Training and Inference of Neural Networks


FullFront: Benchmarking MLLMs Across the Full Front-End Engineering Workflow


Fully $1\times1$ Convolutional Network for Lightweight Image Super-Resolution


Fully Adaptive Bayesian Algorithm for Data Analysis, FABADA


Fully Adaptive Time-Varying Wave-Shape Model: Applications in Biomedical Signal Processing


Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients


Fully Attentional Network for Semantic Segmentation


Fully Authentic Visual Question Answering Dataset from Online Communities


Fully Automated Fact Checking Using External Sources


Fully Automated Functional Fuzzing of Android Apps for Detecting Non-crashing Logic Bugs


Fully Automated HTML and Javascript Rewriting for Constructing a Self-healing Web Proxy


Fully Automatic Liver Attenuation Estimation Combing CNN Segmentation and Morphological Operations


Fully Automatic Page Turning on Real Scores


Fully Automatic Segmentation of Gross Target Volume and Organs-at-Risk for Radiotherapy Planning of Nasopharyngeal Carcinoma


Fully Automatic Video Colorization with Self-Regularization and Diversity


Fully Automatic Wound Segmentation with Deep Convolutional Neural Networks


Fully Automatic and Real-Time Catheter Segmentation in X-Ray Fluoroscopy


Fully Bayesian Forecasts with Evidence Networks


Fully Bayesian inference for latent variable Gaussian process models


Fully Convolutional Change Detection Framework with Generative Adversarial Network for Unsupervised, Weakly Supervised and Regional Supervised Change Detection


Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection


Fully Convolutional Network Bootstrapped by Word Encoding and Embedding for Activity Recognition in Smart Homes


Fully Convolutional Networks for Automated Segmentation of Abdominal Adipose Tissue Depots in Multicenter Water-Fat MRI


Fully Convolutional Networks for Dense Water Flow Intensity Prediction in Swedish Catchment Areas


Fully Convolutional Neural Networks for Automotive Radar Interference Mitigation


Fully Convolutional Open Set Segmentation


Fully Convolutional Scene Graph Generation


Fully Convolutional Slice-to-Volume Reconstruction for Single-Stack MRI


Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs


Fully Decoupled Neural Network Learning Using Delayed Gradients


Fully Differentiable Boundary Element Solver for Hydrodynamic Sensitivity Analysis of Wave-Structure Interactions


Fully Differentiable Correlation-driven 2D/3D Registration for X-ray to CT Image Fusion


Fully Differentiable Ray Tracing via Discontinuity Smoothing for Radio Network Optimization


Fully Distributed Online Training of Graph Neural Networks in Networked Systems


Fully Distributed, Flexible Compositional Visual Representations via Soft Tensor Products


Fully Embedded Time-Series Generative Adversarial Networks


Fully Exploiting Every Real Sample: SuperPixel Sample Gradient Model Stealing


Fully Few-shot Class-incremental Audio Classification Using Expandable Dual-embedding Extractor


Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier


Fully Homomorphically Encrypted Deep Learning as a Service


Fully Independent Communication in Multi-Agent Reinforcement Learning


Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and Clustering


Fully Neural Network Mode Based Intra Prediction of Variable Block Size


Fully Neural Network based Model for General Temporal Point Processes


Fully Onboard Low-Power Localization with Semantic Sensor Fusion on a Nano-UAV using Floor Plans


Fully Proprioceptive Slip-Velocity-Aware State Estimation for Mobile Robots via Invariant Kalman Filtering and Disturbance Observer


Fully Quantized Image Super-Resolution Networks


Fully Self-Supervised Depth Estimation from Defocus Clue


Fully Spiking Denoising Diffusion Implicit Models


Fully Stochastic Trust-Region Sequential Quadratic Programming for Equality-Constrained Optimization Problems


Fully Transformer Network for Change Detection of Remote Sensing Images


Fully Unsupervised Dynamic MRI Reconstruction via Diffeo-Temporal Equivariance


Fully ab-initio all-electron calculation of dark matter--electron scattering in crystals with evaluation of systematic uncertainties


Fully automated analysis of muscle architecture from B-mode ultrasound images with deep learning


Fully automated identification of 2D material samples


Fully automated landmarking and facial segmentation on 3D photographs


Fully automatic computer-aided mass detection and segmentation via pseudo-color mammograms and Mask R-CNN


Fully automatic extraction of morphological traits from the Web: utopia or reality?


Fully convolutional Siamese neural networks for buildings damage assessment from satellite images


Fully differentiable optimization protocols for non-equilibrium steady states


Fully distributed and resilient source seeking for robot swarms


Fully quantum algorithm for lattice Boltzmann methods with application to partial differential equations


Fully trainable Gaussian derivative convolutional layer


Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data


Fully-Convolutional Point Networks for Large-Scale Point Clouds


Fully-Tensorial Elastic-Wave Mode-Solver in FEniCS for Stimulated Brillouin Scattering Modeling


Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification


Fully-attentive and interpretable: vision and video vision transformers for pain detection


Fully-fused Multi-Layer Perceptrons on Intel Data Center GPUs


Fun Facts: Automatic Trivia Fact Extraction from Wikipedia


Fun with Flags: Robust Principal Directions via Flag Manifolds


Fun-SAT: Functional Corruptibility-Guided SAT-Based Attack on Sequential Logic Encryption


FunDiff: Diffusion Models over Function Spaces for Physics-Informed Generative Modeling


FunMap: Efficient Execution of Functional Mappings for Knowledge Graph Creation


FunQA: Towards Surprising Video Comprehension


FunQG: Molecular Representation Learning Via Quotient Graphs


FunReason: Enhancing Large Language Models' Function Calling via Self-Refinement Multiscale Loss and Automated Data Refinement


FuncADL: Functional Analysis Description Language


FuncGNN: Learning Functional Semantics of Logic Circuits with Graph Neural Networks


FuncGenFoil: Airfoil Generation and Editing Model in Function Space


FuncPipe: A Pipelined Serverless Framework for Fast and Cost-efficient Training of Deep Learning Models


FuncVul: An Effective Function Level Vulnerability Detection Model using LLM and Code Chunk


Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games


Function Basis Encoding of Numerical Features in Factorization Machines


Function Extrapolation with Neural Networks and Its Application for Manifolds


Function Fitting Based on Kolmogorov-Arnold Theorem and Kernel Functions


Function Preserving Projection for Scalable Exploration of High-Dimensional Data


Function Space Particle Optimization for Bayesian Neural Networks


Function-Space Distributions over Kernels


Function-Space Regularization in Neural Networks: A Probabilistic Perspective


Function-on-Scalar Quantile Regression with Application to Mass Spectrometry Proteomics Data


Function-on-function linear quantile regression


Function-space Inference with Sparse Implicit Processes


FunctionChat-Bench: Comprehensive Evaluation of Language Models' Generative Capabilities in Korean Tool-use Dialogs


Functional Acceleration for Policy Mirror Descent


Functional Adaptive Double-Sparsity Estimator for Functional Linear Regression Model with Multiple Functional Covariates


Functional Analysis Attacks on Logic Locking


Functional Autoencoder for Smoothing and Representation Learning


Functional Bayesian Tucker Decomposition for Continuous-indexed Tensor Data


Functional Bilevel Optimization for Machine Learning


Functional Broadcast Repair of Multiple Partial Failures in Wireless Distributed Storage Systems


Functional Connectivity Based Classification of ADHD Using Different Atlases


Functional Control of Oscillator Networks


Functional Data Analysis for Extracting the Intrinsic Dimensionality of Spectra: Application to Chemical Homogeneity in the Open Cluster M67


Functional Data Analysis: An Introduction and Recent Developments


Functional Data-Driven Quantile Model Averaging with Application to Cryptocurrencies


Functional Decision Theory in an Evolutionary Environment


Functional Decomposition and Estimation of Irreversibility in Time Series via Machine Learning


Functional Estimation of Anisotropic Covariance and Autocovariance Operators on the Sphere


Functional Factor Regression with an Application to Electricity Price Curve Modeling


Functional Federated Learning in Erlang (ffl-erl)


Functional Generalized Canonical Correlation Analysis for studying multiple longitudinal variables


Functional Generalized Empirical Likelihood Estimation for Conditional Moment Restrictions


Functional Geometry Guided Protein Sequence and Backbone Structure Co-Design


Functional Gradient Flows for Constrained Sampling


Functional Group Bridge for Simultaneous Regression and Support Estimation


Functional Imaging Constrained Diffusion for Brain PET Synthesis from Structural MRI


Functional Knowledge Transfer with Self-supervised Representation Learning


Functional Latent Dynamics for Irregularly Sampled Time Series Forecasting


Functional Linear Cox Regression Model with Frailty


Functional Linear Regression of Cumulative Distribution Functions


Functional Linear Regression with Mixed Predictors


Functional Multi-Reference Alignment via Deconvolution


Functional Output Regression with Infimal Convolution: Exploring the Huber and $ε$-insensitive Losses


Functional Pearl: Witness Me -- Constructive Arguments Must Be Guided with Concrete Witness


Functional Post-Clustering Selective Inference with Applications to EHR Data Analysis


Functional Regression Models with Functional Response: A New Approach and a Comparative Study


Functional Regularization for Reinforcement Learning via Learned Fourier Features


Functional Regularization for Representation Learning: A Unified Theoretical Perspective


Functional Shell and Reusable Components for Easy GUIs


Functional Tensor Decompositions for Physics-Informed Neural Networks


Functional Tucker approximation using Chebyshev interpolation


Functional central limit theorems for rough volatility


Functional clustering methods for binary longitudinal data with temporal heterogeneity


Functional clustering methods for resistance spot welding process data in the automotive industry


Functional clustering via multivariate clustering


Functional concurrent regression with compositional covariates and its application to the time-varying effect of causes of death on human longevity


Functional connectivity ensemble method to enhance BCI performance (FUCONE)


Functional connectomes of neural networks


Functional data learning using convolutional neural networks


Functional imaging through scattering medium via fluorescence speckle demixing and localization


Functional normalizing flow for statistical inverse problems of partial differential equations


Functional observability and subspace reconstruction in nonlinear systems


Functional observability and target state estimation in large-scale networks


Functional optimal transport: map estimation and domain adaptation for functional data


Functional principal component analysis as an alternative to mixed-effect models for describing sparse repeated measures in presence of missing data


Functional reducibility of higher-order networks


Functional renormalisation group approach to shell models of turbulence


Functional renormalization group for signal detection and stochastic ergodicity breaking


Functional response regression with funBART: an analysis of patient-specific stillbirth risk


Functional structure in production networks


Functional-Input Gaussian Processes with Applications to Inverse Scattering Problems


Functionalities for genus $2$ and $3$ curves


Functionally-Complete Boolean Logic in Real DRAM Chips: Experimental Characterization and Analysis


Fundamental Benefit of Alternating Updates in Minimax Optimization


Fundamental Challenges in Deep Learning for Stiff Contact Dynamics


Fundamental Components of Deep Learning: A category-theoretic approach


Fundamental Limitations of Alignment in Large Language Models


Fundamental Limits for Sensor-Based Robot Control


Fundamental Limits of Perfect Concept Erasure


Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial Perturbations


Fundamental bounds for scattering from absorptionless electromagnetic structures


Fundamental bounds on the precision of classical phase microscopes


Fundamental bounds on the precision of iSCAT, COBRI and dark-field microscopy for 3D localization and mass photometry


Fundamental computational limits of weak learnability in high-dimensional multi-index models


Fundamental cosmology from ANDES precision spectroscopy


Fundamental differences in the properties of red and blue quasars: measuring the reddening and accretion properties with X-shooter


Fundamental limitations on photoisomerization from thermodynamic resource theories


Fundamental limitations on the control of lossless systems


Fundamental limits for rank-one matrix estimation with groupwise heteroskedasticity


Fundamental limits from chaos on instability time predictions in compact planetary systems


Fundamental limits of learning in sequence multi-index models and deep attention networks: High-dimensional asymptotics and sharp thresholds


Fundamental limits of over-the-air optimization: Are analog schemes optimal?


Fundamental principles of cortical computation: unsupervised learning with prediction, compression and feedback


Fundamental scaling relationships revealed in the optical light curves of tidal disruption events


Fundamentals of Drone Cellular Network Analysis under Random Waypoint Mobility Model


Fundamentals of Wobbling and Hardware Impairments-Aware Air-to-Ground Channel Model


Fundus Image-based Visual Acuity Assessment with PAC-Guarantees


Fundus image enhancement through direct diffusion bridges


Fundus-Enhanced Disease-Aware Distillation Model for Retinal Disease Classification from OCT Images


Fundus2Video: Cross-Modal Angiography Video Generation from Static Fundus Photography with Clinical Knowledge Guidance


FunkNN: Neural Interpolation for Functional Generation


FunnelNet: An End-to-End Deep Learning Framework to Monitor Digital Heart Murmur in Real-Time


Funnels: Exact maximum likelihood with dimensionality reduction


FunnyNet-W: Multimodal Learning of Funny Moments in Videos in the Wild


Funzac at CoMeDi Shared Task: Modeling Annotator Disagreement from Word-In-Context Perspectives


FurnitureBench: Reproducible Real-World Benchmark for Long-Horizon Complex Manipulation


Further Analysis of Outlier Detection with Deep Generative Models


Further Evidence of Modified Spin-down in Sun-like Stars: Pileups in the Temperature-Period Distribution


Further Investigation of the Survivability of Code Technical Debt Items


Further analysis on the second frequency of union-closed set families


FusDom: Combining In-Domain and Out-of-Domain Knowledge for Continuous Self-Supervised Learning


FusDreamer: Label-efficient Remote Sensing World Model for Multimodal Data Classification


Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text Generation


Fuse Your Latents: Video Editing with Multi-source Latent Diffusion Models


Fuse to Forget: Bias Reduction and Selective Memorization through Model Fusion


FuseAnyPart: Diffusion-Driven Facial Parts Swapping via Multiple Reference Images


FuseCap: Leveraging Large Language Models for Enriched Fused Image Captions


FuseDream: Training-Free Text-to-Image Generation with Improved CLIP+GAN Space Optimization


FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion


FuseFormer: Fusing Fine-Grained Information in Transformers for Video Inpainting


FuseGen: PLM Fusion for Data-generation based Zero-shot Learning


FuseNet: Self-Supervised Dual-Path Network for Medical Image Segmentation


FuseVis: Interpreting neural networks for image fusion using per-pixel saliency visualization


Fused $L_{1/2}$ prior for large scale linear inverse problem with Gibbs bouncy particle sampler


Fused Angles: A Representation of Body Orientation for Balance


Fused Depthwise Tiling for Memory Optimization in TinyML Deep Neural Network Inference


Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications


Fused Spatial Point Process Intensity Estimation with Varying Coefficients on Complex Constrained Domains


Fused graphical lasso for brain networks with symmetries


Fused inverse-normal method for integrated differential expression analysis of RNA-seq data


Fused-Lasso Regularized Cholesky Factors of Large Nonstationary Covariance Matrices of Longitudinal Data


Fused-MemBrain: a spiking processor combining CMOS and self-assembled memristive networks


Fused3S: Fast Sparse Attention on Tensor Cores


FusedInf: Efficient Swapping of DNN Models for On-Demand Serverless Inference Services on the Edge


FusedMM: A Unified SDDMM-SpMM Kernel for Graph Embedding and Graph Neural Networks


FusedProp: Towards Efficient Training of Generative Adversarial Networks


Fusing CNNs and statistical indicators to improve image classification


Fusing Conditional Submodular GAN and Programmatic Weak Supervision


Fusing Depthwise and Pointwise Convolutions for Efficient Inference on GPUs


Fusing Dictionary Learning and Support Vector Machines for Unsupervised Anomaly Detection


Fusing Feature Engineering and Deep Learning: A Case Study for Malware Classification


Fusing Forces: Deep-Human-Guided Refinement of Segmentation Masks


Fusing Global and Local Features for Generalized AI-Synthesized Image Detection


Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity Recognition


Fusing Higher-order Features in Graph Neural Networks for Skeleton-based Action Recognition


Fusing Individualized Treatment Rules Using Secondary Outcomes


Fusing Interpretable Knowledge of Neural Network Learning Agents For Swarm-Guidance


Fusing Models with Complementary Expertise


Fusing Monocular Images and Sparse IMU Signals for Real-time Human Motion Capture


Fusing Multimodal Signals on Hyper-complex Space for Extreme Abstractive Text Summarization (TL;DR) of Scientific Contents


Fusing Odometry, UWB Ranging, and Spatial Detections for Relative Multi-Robot Localization


Fusing RGBD Tracking and Segmentation Tree Sampling for Multi-Hypothesis Volumetric Segmentation


Fusing Sentence Embeddings Into LSTM-based Autoregressive Language Models


Fusing Trial Data for Treatment Comparisons: Single versus Multi-Span Bridging


Fusing VHR Post-disaster Aerial Imagery and LiDAR Data for Roof Classification in the Caribbean


Fusing Wearable IMUs with Multi-View Images for Human Pose Estimation: A Geometric Approach


Fusing machine learning strategy with density functional theory to hasten the discovery of MXenes for hydrogen generation


Fusing task-oriented and open-domain dialogues in conversational agents


Fusion Blossom: Fast MWPM Decoders for QEC


Fusion Makes Perfection: An Efficient Multi-Grained Matching Approach for Zero-Shot Relation Extraction


Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models


Fusion Transformer with Object Mask Guidance for Image Forgery Analysis


Fusion for Visual-Infrared Person ReID in Real-World Surveillance Using Corrupted Multimodal Data


Fusion is Not Enough: Single Modal Attacks on Fusion Models for 3D Object Detection


Fusion of Audio and Visual Embeddings for Sound Event Localization and Detection


Fusion of Dual Spatial Information for Hyperspectral Image Classification


Fusion of Short-term and Long-term Attention for Video Mirror Detection


Fusion of Visual-Inertial Odometry with LiDAR Relative Localization for Cooperative Guidance of a Micro-Scale Aerial Vehicle


Fusion of heterogeneous data for robust degradation prognostics


Fusion of rain radar images and wind forecasts in a deep learning model applied to rain nowcasting


Fusion regression methods with repeated functional data


Fusion-DHL: WiFi, IMU, and Floorplan Fusion for Dense History of Locations in Indoor Environments


Fusion-GCN: Multimodal Action Recognition using Graph Convolutional Networks


Fusion-based Few-Shot Morphing Attack Detection and Fingerprinting


Fusion-in-T5: Unifying Document Ranking Signals for Improved Information Retrieval


Fusion-then-Distillation: Toward Cross-modal Positive Distillation for Domain Adaptive 3D Semantic Segmentation


FusionAD: Multi-modality Fusion for Prediction and Planning Tasks of Autonomous Driving


FusionAudio-1.2M: Towards Fine-grained Audio Captioning with Multimodal Contextual Fusion


FusionBooster: A Unified Image Fusion Boosting Paradigm


FusionCount: Efficient Crowd Counting via Multiscale Feature Fusion


FusionDTI: Fine-grained Binding Discovery with Token-level Fusion for Drug-Target Interaction


FusionINN: Decomposable Image Fusion for Brain Tumor Monitoring


FusionLane: Multi-Sensor Fusion for Lane Marking Semantic Segmentation Using Deep Neural Networks


FusionMamba: Dynamic Feature Enhancement for Multimodal Image Fusion with Mamba


FusionMamba: Efficient Remote Sensing Image Fusion with State Space Model


FusionNet: Fusing via Fully-Aware Attention with Application to Machine Comprehension


FusionPainting: Multimodal Fusion with Adaptive Attention for 3D Object Detection


FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning


FusionSORT: Fusion Methods for Online Multi-object Visual Tracking


FusionU-Net: U-Net with Enhanced Skip Connection for Pathology Image Segmentation


FusionVision: A comprehensive approach of 3D object reconstruction and segmentation from RGB-D cameras using YOLO and fast segment anything


Futga: Towards Fine-grained Music Understanding through Temporally-enhanced Generative Augmentation


Future Deployment and Flexibility of Distributed Energy Resources in the Distribution Grids of Switzerland


Future Events as Backdoor Triggers: Investigating Temporal Vulnerabilities in LLMs


Future Impact Decomposition in Request-level Recommendations


Future Language Modeling from Temporal Document History


Future Link Prediction Without Memory or Aggregation


Future Near-Collision Prediction from Monocular Video: Feasibility, Dataset, and Challenges


Future Object Detection with Spatiotemporal Transformers


Future Person Localization in First-Person Videos


Future Sight and Tough Fights: Revolutionizing Sequential Recommendation with FENRec


Future Urban Scenes Generation Through Vehicles Synthesis


Future Video Synthesis with Object Motion Prediction


Future-Aware Diverse Trends Framework for Recommendation


Future-Dependent Value-Based Off-Policy Evaluation in POMDPs


Future-Focused Control Barrier Functions for Autonomous Vehicle Control


Future-Oriented Navigation: Dynamic Obstacle Avoidance with One-Shot Energy-Based Multimodal Motion Prediction


Future-conditioned Unsupervised Pretraining for Decision Transformer


FutureGAN: Anticipating the Future Frames of Video Sequences using Spatio-Temporal 3d Convolutions in Progressively Growing GANs


FutureGen: LLM-RAG Approach to Generate the Future Work of Scientific Article


FutureTOD: Teaching Future Knowledge to Pre-trained Language Model for Task-Oriented Dialogue


FuxiTranyu: A Multilingual Large Language Model Trained with Balanced Data


Fuzz-Testing Meets LLM-Based Agents: An Automated and Efficient Framework for Jailbreaking Text-To-Image Generation Models


Fuzz4All: Universal Fuzzing with Large Language Models


FuzzCoder: Byte-level Fuzzing Test via Large Language Model


FuzzDistill: Intelligent Fuzzing Target Selection using Compile-Time Analysis and Machine Learning


FuzzLLM: A Novel and Universal Fuzzing Framework for Proactively Discovering Jailbreak Vulnerabilities in Large Language Models


FuzzSlice: Pruning False Positives in Static Analysis Warnings Through Function-Level Fuzzing


FuzzSplore: Visualizing Feedback-Driven Fuzzing Techniques


FuzzifiED : Julia package for numerics on the fuzzy sphere


Fuzziness-based Spatial-Spectral Class Discriminant Information Preserving Active Learning for Hyperspectral Image Classification


Fuzzing Automatic Differentiation in Deep-Learning Libraries


Fuzzing BusyBox: Leveraging LLM and Crash Reuse for Embedded Bug Unearthing


Fuzzing Deep-Learning Libraries via Automated Relational API Inference


Fuzzing at Scale: The Untold Story of the Scheduler


FuzzingDriver: the Missing Dictionary to Increase Code Coverage in Fuzzers


Fuzzm: Finding Memory Bugs through Binary-Only Instrumentation and Fuzzing of WebAssembly


Fuzzy Alignments in Directed Acyclic Graph for Non-Autoregressive Machine Translation


Fuzzy Approach Topic Discovery in Health and Medical Corpora


Fuzzy Cluster-Aware Contrastive Clustering for Time Series


Fuzzy Discriminant Clustering with Fuzzy Pairwise Constraints


Fuzzy Granule Density-Based Outlier Detection with Multi-Scale Granular Balls


Fuzzy Information Seeded Region Growing for Automated Lesions After Stroke Segmentation in MR Brain Images


Fuzzy Linkography: Automatic Graphical Summarization of Creative Activity Traces


Fuzzy Logic Controller Design for Mobile Robot Outdoor Navigation


Fuzzy Logic Guided Reward Function Variation: An Oracle for Testing Reinforcement Learning Programs