Spending Your Winning Lottery Better After Drawing It


Spending too much time at the Galactic bar: chaotic fanning of the Ophiuchus stream


SpeqNets: Sparsity-aware Permutation-equivariant Graph Networks


Spey: smooth inference for reinterpretation studies


SpheCow: flexible dynamical models for galaxies and dark matter haloes


SpherE: Expressive and Interpretable Knowledge Graph Embedding for Set Retrieval


Sphere-Guided Training of Neural Implicit Surfaces


SphereDiff: Tuning-free Omnidirectional Panoramic Image and Video Generation via Spherical Latent Representation


Spherical Cap Harmonic Analysis (SCHA) for Characterising the Morphology of Rough Surface Patches


Spherical Convolution empowered FoV Prediction in 360-degree Video Multicast with Limited FoV Feedback


Spherical Coordinates from Persistent Cohomology


Spherical Frustum Sparse Convolution Network for LiDAR Point Cloud Semantic Segmentation


Spherical Graph Drawing by Multi-dimensional Scaling


Spherical Multi-Modal Place Recognition for Heterogeneous Sensor Systems


Spherical Perspective on Learning with Normalization Layers


Spherical Poisson Point Process Intensity Function Modeling and Estimation with Measure Transport


Spherical Transformer for LiDAR-based 3D Recognition


Spherical Tree-Sliced Wasserstein Distance


Spherical Vision Transformer for 360-degree Video Saliency Prediction


Spherical caps do not always maximize Neumann eigenvalues on the sphere


Spherical collapse, formation hysteresis and the deeply non-linear cosmological power spectrum


Spherical convolutional neural networks can improve brain microstructure estimation from diffusion MRI data


Spherical convolutions on molecular graphs for protein model quality assessment


Spherical polar coordinate transformation for integration of singular functions on tetrahedra


Spheroidal harmonics for generalizing the morphological decomposition of closed parametric surfaces


Sphractal: Estimating the Fractal Dimension of Surfaces Computed from Precise Atomic Coordinates via Box-Counting Algorithm


Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?


Spider4SPARQL: A Complex Benchmark for Evaluating Knowledge Graph Question Answering Systems


SpiderMesh: Spatial-aware Demand-guided Recursive Meshing for RGB-T Semantic Segmentation


SpiderNet: Hybrid Differentiable-Evolutionary Architecture Search via Train-Free Metrics


Spiders Based on Anxiety: How Reinforcement Learning Can Deliver Desired User Experience in Virtual Reality Personalized Arachnophobia Treatment


SpikACom: A Neuromorphic Computing Framework for Green Communications


SpikEmo: Enhancing Emotion Recognition With Spiking Temporal Dynamics in Conversations


SpikMamba: When SNN meets Mamba in Event-based Human Action Recognition


SpikSSD: Better Extraction and Fusion for Object Detection with Spiking Neuron Networks


Spike Synchronization Dynamics of Small-World Networks


Spike distance function as a learning objective for spike prediction


Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks


Spike-Train Level Backpropagation for Training Deep Recurrent Spiking Neural Networks


Spike-and-Slab Group Lassos for Grouped Regression and Sparse Generalized Additive Models


Spike-and-Slab LASSO Generalized Additive Models and Scalable Algorithms for High-Dimensional Data Analysis


Spike-based building blocks for performing logic operations using Spiking Neural Networks on SpiNNaker


Spike-based computational models of bio-inspired memories in the hippocampal CA3 region on SpiNNaker


Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips


Spike-inspired Rank Coding for Fast and Accurate Recurrent Neural Networks


Spike2Former: Efficient Spiking Transformer for High-performance Image Segmentation


Spike2Vec: An Efficient and Scalable Embedding Approach for COVID-19 Spike Sequences


SpikeBERT: A Language Spikformer Learned from BERT with Knowledge Distillation


SpikeCLIP: A Contrastive Language-Image Pretrained Spiking Neural Network


SpikeCV: Open a Continuous Computer Vision Era


SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks


SpikeGS: Learning 3D Gaussian Fields from Continuous Spike Stream


SpikeGraphormer: A High-Performance Graph Transformer with Spiking Graph Attention


SpikeNeRF: Learning Neural Radiance Fields from Continuous Spike Stream


SpikeReveal: Unlocking Temporal Sequences from Real Blurry Inputs with Spike Streams


SpikeVideoFormer: An Efficient Spike-Driven Video Transformer with Hamming Attention and $\mathcal{O}(T)$ Complexity


Spikeformer: A Novel Architecture for Training High-Performance Low-Latency Spiking Neural Network


Spiking Approximations of the MaxPooling Operation in Deep SNNs


Spiking Convolutional Neural Networks for Text Classification


Spiking Denoising Diffusion Probabilistic Models


Spiking Graph Neural Network on Riemannian Manifolds


Spiking NeRF: Representing the Real-World Geometry by a Discontinuous Representation


Spiking Neural Belief Propagation Decoder for LDPC Codes with Small Variable Node Degrees


Spiking Neural Models for Decision-Making Tasks with Learning


Spiking Neural Network Decision Feedback Equalization for IM/DD Systems


Spiking Neural Network as Adaptive Event Stream Slicer


Spiking Neural Network for Intra-cortical Brain Signal Decoding


Spiking Neural Networks for event-based action recognition: A new task to understand their advantage


Spiking Neural Networks with Random Network Architecture


Spiking Point Transformer for Point Cloud Classification


Spiking PointNet: Spiking Neural Networks for Point Clouds


Spiking Transformer with Spatial-Temporal Attention


Spiking Transformers Need High Frequency Information


Spiking and collapsing in large noise limits of SDEs


Spiking neural networks for nonlinear regression


Spiking neural networks trained via proxy


Spiking-Diffusion: Vector Quantized Discrete Diffusion Model with Spiking Neural Networks


SpikingBERT: Distilling BERT to Train Spiking Language Models Using Implicit Differentiation


SpikingNeRF: Making Bio-inspired Neural Networks See through the Real World


SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks


SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models


Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network


Spin Detection Using Racket Bounce Sounds in Table Tennis


Spin Glass Models of Syntax and Language Evolution


Spin Hall conductivity in the Kane-Mele-Hubbard model at finite temperature


Spin Summations: A High-Performance Perspective


Spin and Orbital Angular Momenta of Electromagnetic Waves: From Classical to Quantum Forms


Spin qudit tomography and state reconstruction error


Spin wave optics for gravitational waves lensed by a Kerr black hole


Spin-2 Kaluza-Klein Scattering in a Stabilized Warped Background


Spin-UP: Spin Light for Natural Light Uncalibrated Photometric Stereo


Spin-dependent edge states in two-dimensional Dirac materials with a flat band


Spin-dependent recombination mechanisms for quintet bi-excitons generated through singlet fission


Spin-induced offset stream self-crossing shocks in tidal disruption events


SpinHex: A low-crosstalk, spin-qubit architecture based on multi-electron couplers


SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration


SpinView: General Interactive Visual Analysis Tool for Multiscale Computational Magnetism


Spinal nerve segmentation method and dataset construction in endoscopic surgical scenarios


Spine intervertebral disc labeling using a fully convolutional redundant counting model


SpineFM: Leveraging Foundation Models for Automatic Spine X-ray Segmentation


Spinfoam on Lefschetz Thimble: Markov Chain Monte-Carlo Computation of Lorentzian Spinfoam Propagator


Spinning Language Models: Risks of Propaganda-As-A-Service and Countermeasures


Spinning Partial Waves for Scattering Amplitudes in $d$ Dimensions


Spinning waveforms from KMOC at leading order


Spinsim: a GPU optimized python package for simulating spin-half and spin-one quantum systems


Spiral Scanning and Self-Supervised Image Reconstruction Enable Ultra-Sparse Sampling Multispectral Photoacoustic Tomography


Spiral chains in wavenumber space of two dimensional turbulence


Spiral of Silence: How is Large Language Model Killing Information Retrieval? -- A Case Study on Open Domain Question Answering


Spiral waves: linear and nonlinear theory


SpiralMap: A Python library of the Milky Way's spiral arms


Spirality: A Novel Way to Measure Spiral Arm Pitch Angle


Spirit LM: Interleaved Spoken and Written Language Model


SpiroMask: Measuring Lung Function Using Consumer-Grade Masks


SplArt: Articulation Estimation and Part-Level Reconstruction with 3D Gaussian Splatting


SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM


Splat-LOAM: Gaussian Splatting LiDAR Odometry and Mapping


Splat-MOVER: Multi-Stage, Open-Vocabulary Robotic Manipulation via Editable Gaussian Splatting


Splat-Nav: Safe Real-Time Robot Navigation in Gaussian Splatting Maps


Splat-SLAM: Globally Optimized RGB-only SLAM with 3D Gaussians


SplatFlow: Learning Multi-frame Optical Flow via Splatting


SplatFlow: Multi-View Rectified Flow Model for 3D Gaussian Splatting Synthesis


SplatFormer: Point Transformer for Robust 3D Gaussian Splatting


SplatPose & Detect: Pose-Agnostic 3D Anomaly Detection


SplatPose+: Real-time Image-Based Pose-Agnostic 3D Anomaly Detection


SplatR : Experience Goal Visual Rearrangement with 3D Gaussian Splatting and Dense Feature Matching


Splatter Image: Ultra-Fast Single-View 3D Reconstruction


Splatter-360: Generalizable 360$^{\circ}$ Gaussian Splatting for Wide-baseline Panoramic Images


SplattingAvatar: Realistic Real-Time Human Avatars with Mesh-Embedded Gaussian Splatting


SpliceMix: A Cross-scale and Semantic Blending Augmentation Strategy for Multi-label Image Classification


Spliced Binned-Pareto Distribution for Robust Modeling of Heavy-tailed Time Series


Splicing Up Your Predictions with RNA Contrastive Learning


Splicing ViT Features for Semantic Appearance Transfer


Spline Positional Encoding for Learning 3D Implicit Signed Distance Fields


Spline Regression with Automatic Knot Selection


Spline Sketches: An Efficient Approach for Photon Counting Lidar


Spline refinement with differentiable rendering


Spline-Based Minimum-Curvature Trajectory Optimization for Autonomous Racing


SplineCam: Exact Visualization and Characterization of Deep Network Geometry and Decision Boundaries


SplineSketch: Even More Accurate Quantiles with Error Guarantees


Splintering Nonconcatenative Languages for Better Tokenization


Split Conformal Prediction under Data Contamination


Split Cycle: A New Condorcet Consistent Voting Method Independent of Clones and Immune to Spoilers


Split then Refine: Stacked Attention-guided ResUNets for Blind Single Image Visible Watermark Removal


Split to Be Slim: An Overlooked Redundancy in Vanilla Convolution


Split to Merge: Unifying Separated Modalities for Unsupervised Domain Adaptation


Split-Et-Impera: A Framework for the Design of Distributed Deep Learning Applications


Split-NER: Named Entity Recognition via Two Question-Answering-based Classifications


Split-PU: Hardness-aware Training Strategy for Positive-Unlabeled Learning


Split-and-Bridge: Adaptable Class Incremental Learning within a Single Neural Network


Split-and-Denoise: Protect large language model inference with local differential privacy


Split-and-Fit: Learning B-Reps via Structure-Aware Voronoi Partitioning


Split-door criterion: Identification of causal effects through auxiliary outcomes


Split-explicit external mode solver in finite volume sea ice ocean model FESOM2


SplitAVG: A heterogeneity-aware federated deep learning method for medical imaging


SplitEasy: A Practical Approach for Training ML models on Mobile Devices


SplitFS: Reducing Software Overhead in File Systems for Persistent Memory


SplitFed: When Federated Learning Meets Split Learning


SplitFedZip: Learned Compression for Data Transfer Reduction in Split-Federated Learning


SplitMixer: Fat Trimmed From MLP-like Models


SplitNeRF: Split Sum Approximation Neural Field for Joint Geometry, Illumination, and Material Estimation


SplitNet: Sim2Sim and Task2Task Transfer for Embodied Visual Navigation


SplitOut: Out-of-the-Box Training-Hijacking Detection in Split Learning via Outlier Detection


SplitPlace: AI Augmented Splitting and Placement of Large-Scale Neural Networks in Mobile Edge Environments


SplitWise Regression: Stepwise Modeling with Adaptive Dummy Encoding


Splits! A Flexible Dataset for Evaluating a Model's Demographic Social Inference


Splitting Regularized Wasserstein Proximal Algorithms for Nonsmooth Sampling Problems


Splitting Schemes for Coupled Differential Equations: Block Schur-Based Approaches and Partial Jacobi Approximation


Splitting Vertices in 2-Layer Graph Drawings


Splitting criteria for ordinal decision trees: an experimental study


Splitting of primes in number fields generated by points on some modular curves


Splitting of topological charge pumping in an interacting two-component fermionic Rice-Mele Hubbard model


Splitting probabilities as optimal controllers of rare reactive events


Splitting recursion schemes into reversible and classical interacting threads


Splitting subspaces and a finite field interpretation of the Touchard-Riordan Formula


Splitting the Difference on Adversarial Training


Splitting the Forward-Backward Algorithm: A Full Characterization


Splitting with Near-Circulant Linear Systems: Applications to Total Variation CT and PET


SpoT-Mamba: Learning Long-Range Dependency on Spatio-Temporal Graphs with Selective State Spaces


Spoiler Alert: Using Natural Language Processing to Detect Spoilers in Book Reviews


Spoke-Darts for High-Dimensional Blue-Noise Sampling


SpokeN-100: A Cross-Lingual Benchmarking Dataset for The Classification of Spoken Numbers in Different Languages


Spoken English Intelligibility Remediation with PocketSphinx Alignment and Feature Extraction Improves Substantially over the State of the Art


Spoken Language Biomarkers for Detecting Cognitive Impairment


Spoken Language Identification System for English-Mandarin Code-Switching Child-Directed Speech


Spoken Language Intelligence of Large Language Models for Language Learning


Spoken Language Intent Detection using Confusion2Vec


Spoken Language Modeling with Duration-Penalized Self-Supervised Units


Spoken Stereoset: On Evaluating Social Bias Toward Speaker in Speech Large Language Models


Spoken Word2Vec: Learning Skipgram Embeddings from Speech


Spoken-Term Discovery using Discrete Speech Units


SpokenWOZ: A Large-Scale Speech-Text Benchmark for Spoken Task-Oriented Dialogue Agents


Spoki: Unveiling a New Wave of Scanners through a Reactive Network Telescope


Sponge: Inference Serving with Dynamic SLOs Using In-Place Vertical Scaling


Spontaneous Informal Speech Dataset for Punctuation Restoration


Spontaneous Symmetry Breaking in Generative Diffusion Models


Spontaneous fluctuation-symmetry breaking and the Landauer principle


Spontaneously broken gauge symmetry in a Bose gas with constant particle number


Spoof detection using time-delay shallow neural network and feature switching


Spoofing Attack Detection in the Physical Layer with Commutative Neural Networks


Spoofing Speaker Verification Systems with Deep Multi-speaker Text-to-speech Synthesis


Spoofing-Resilient LiDAR-GPS Factor Graph Localization with Chimera Authentication


SporeAgent: Reinforced Scene-level Plausibility for Object Pose Refinement


SportQA: A Benchmark for Sports Understanding in Large Language Models


Sports Video Analysis on Large-Scale Data


Sports-QA: A Large-Scale Video Question Answering Benchmark for Complex and Professional Sports


SportsHHI: A Dataset for Human-Human Interaction Detection in Sports Videos


SportsMOT: A Large Multi-Object Tracking Dataset in Multiple Sports Scenes


SportsPose -- A Dynamic 3D sports pose dataset


SportsSum2.0: Generating High-Quality Sports News from Live Text Commentary


SportsTrack: An Innovative Method for Tracking Athletes in Sports Scenes


Spot The Bot: A Robust and Efficient Framework for the Evaluation of Conversational Dialogue Systems


Spot What Matters: Learning Context Using Graph Convolutional Networks for Weakly-Supervised Action Detection


Spot the Difference: A Cooperative Object-Referring Game in Non-Perfectly Co-Observable Scene


Spot the Difference: A Novel Task for Embodied Agents in Changing Environments


Spot the Difference: Detection of Topological Changes via Geometric Alignment


Spot the Error: Non-autoregressive Graphic Layout Generation with Wireframe Locator


Spot: A Natural Language Interface for Geospatial Searches in OSM


SpotCheck: On-Device Anomaly Detection for Android


SpotFast Networks with Memory Augmented Lateral Transformers for Lipreading


SpotLess: Concurrent Rotational Consensus Made Practical through Rapid View Synchronization


SpotLight: Robotic Scene Understanding through Interaction and Affordance Detection


SpotNet - Learned iterations for cell detection in image-based immunoassays


SpotNet: Self-Attention Multi-Task Network for Object Detection


SpotServe: Serving Generative Large Language Models on Preemptible Instances


Spotlights: Probing Shapes from Spherical Viewpoints


Spotting AI's Touch: Identifying LLM-Paraphrased Spans in Text


Spotting Collective Behaviour of Online Frauds in Customer Reviews


Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text


Spotting Macro- and Micro-expression Intervals in Long Video Sequences


Spotting Out-of-Character Behavior: Atomic-Level Evaluation of Persona Fidelity in Open-Ended Generation


Spotting Stellar Activity Cycles in Gaia Astrometry


Spotting Temporally Precise, Fine-Grained Events in Video


Spotting political social bots in Twitter: A use case of the 2019 Spanish general election


Spread2RML: Constructing Knowledge Graphs by Predicting RML Mappings on Messy Spreadsheets


SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks


SpreadLine: Visualizing Egocentric Dynamic Influence


Spreads and Packings of PG(3,2), Formally!


Spright: a probabilistic mass-density-radius relation for small planets


Spring-Electrical Models For Link Prediction


Spring-Slider and Finite Element Modeling of Microseismic Events and Fault Slip during Hydraulic Fracturing


SpringGrasp: Synthesizing Compliant, Dexterous Grasps under Shape Uncertainty


Spurious Correlations in Machine Learning: A Survey


Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model


Spurious Local Minima are Common in Two-Layer ReLU Neural Networks


Spurious Quasi-Resonances in Boundary Integral Equations for the Helmholtz Transmission Problem


Spurious Rewards: Rethinking Training Signals in RLVR


Spurious heating of stellar motions by dark matter particles in cosmological simulations of galaxy formation


Spurious local minima in nonconvex sum-of-squares optimization


Spurious reconstruction from brain activity


Spuriousness-Aware Meta-Learning for Learning Robust Classifiers


Spy-Watermark: Robust Invisible Watermarking for Backdoor Attack


Spyx: A Library for Just-In-Time Compiled Optimization of Spiking Neural Networks


Square Kilometre Array Science Data Challenge 3a: foreground removal for an EoR experiment


Square Root LASSO: Well-posedness, Lipschitz stability and the tuning trade off


Square coloring planar graphs with automatic discharging


Square root-based multi-source early PSD estimation and recursive RETF update in reverberant environments by means of the orthogonal Procrustes problem


Square-Root Higher-Order Unscented Estimators for Robust Orbit Determination


Square-free Strong Triangular Decomposition of Zero-dimensional Polynomial Systems


Squareplus: A Softplus-Like Algebraic Rectifier


Squark production with R-symmetry beyond NLO at the LHC


Squeeze Training for Adversarial Robustness


Squeeze and Excitation: A Weighted Graph Contrastive Learning for Collaborative Filtering


Squeeze flow of micro-droplets: convolutional neural network with trainable and tunable refinement


Squeeze-and-Excitation Normalization for Automated Delineation of Head and Neck Primary Tumors in Combined PET and CT Images


SqueezeAttention: 2D Management of KV-Cache in LLM Inference via Layer-wise Optimal Budget


SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation


SqueezeWave: Extremely Lightweight Vocoders for On-device Speech Synthesis


SquiggleFilter: An Accelerator for Portable Virus Detection


Squigglebot: a battery powered spherical rolling robot as a model active matter system to measure its energetics


Squirrel: A Switching Hyperparameter Optimizer


SquirrelFS: using the Rust compiler to check file-system crash consistency


Sramm: short read alignment mapping metrics


SsODNet: The Solar system Open Database Network


SsciBERT: A Pre-trained Language Model for Social Science Texts


StARformer: Transformer with State-Action-Reward Representations for Visual Reinforcement Learning


StRE: Self Attentive Edit Quality Prediction in Wikipedia


StROL: Stabilized and Robust Online Learning from Humans


StRegA: Unsupervised Anomaly Detection in Brain MRIs using a Compact Context-encoding Variational Autoencoder


StaDRe and StaDRo: Reliability and Robustness Estimation of ML-based Forecasting using Statistical Distance Measures


StaNdaRT: A repository of standardized test models and outputs for supernova radiative transfer


StaPep: an open-source tool for the structure prediction and feature extraction of hydrocarbon-stapled peptides


StaQC: A Systematically Mined Question-Code Dataset from Stack Overflow


StabJGL: a stability approach to sparsity and similarity selection in multiple network reconstruction


StabStitch++: Unsupervised Online Video Stitching with Spatiotemporal Bidirectional Warps


Stabbing balls with line segments and polygonal paths


Stabilised finite element method for Stokes problem with nonlinear slip condition


Stabiliser codes over fields of even order


Stabilising viscous extensional flows using Reinforcement Learning


Stability Analysis and Generalization Bounds of Adversarial Training


Stability Analysis of Unfolded WMMSE for Power Allocation


Stability Analysis using Quadratic Constraints for Systems with Neural Network Controllers


Stability Constrained Reinforcement Learning for Decentralized Real-Time Voltage Control


Stability Improvements for Fast Matrix Multiplication


Stability Limits of Circumbinary Planets: Is There a Pile-up in the Kepler CBPs?


Stability Margins of Neural Network Controllers


Stability Verification of Neural Network Controllers using Mixed-Integer Programming


Stability analysis of chaotic systems from data


Stability and Efficiency of Personalised Cultural Markets


Stability and Generalization in Free Adversarial Training


Stability and Generalization of Bilevel Programming in Hyperparameter Optimization


Stability and Generalization of Stochastic Gradient Methods for Minimax Problems


Stability and Instability of the MaxWeight Policy


Stability and Performance Analysis of Model Predictive Control of Uncertain Linear Systems


Stability and bifurcations in Wilson-Cowan systems with distributed delays, and an application to basal ganglia interactions


Stability and selective extinction in complex mutualistic networks


Stability of Data-Dependent Ridge-Regularization for Inverse Problems


Stability of Deep Neural Networks via discrete rough paths


Stability of Equilibrium Asset Pricing Models: A Necessary and Sufficient Condition


Stability of Evolutionary Dynamics on Time Scales


Stability of Graph Scattering Transforms


Stability of Topic Modeling via Matrix Factorization


Stability of coorbital planets around binaries


Stability of difference equations with interspecific density dependence, competition, and maturation delays


Stability of generalized Einstein-Maxwell-scalar black holes


Stability of instantaneous pressures in an Eulerian finite element method for moving boundary flow problems


Stability of step size control based on a posteriori error estimates


Stability of superthermal strahl electrons in the solar wind


Stability of temporal statistics in Transition Path Theory with sparse data


Stability of the one electron atom Schrödinger model with magnetic field in two dimensions


Stability of the spacetime of a magnetized compact object


Stability results for MIMO LTI systems via Scaled Relative Graphs


Stability selection enables robust learning of partial differential equations from limited noisy data


Stability selection for component-wise gradient boosting in multiple dimensions


Stabilization of Nonlinear Systems through Control Barrier Functions


Stabilization of affine systems with polytopic control value sets


Stabilize Deep ResNet with A Sharp Scaling Factor $τ$


Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective


Stabilized Neural Differential Equations for Learning Dynamics with Explicit Constraints


Stabilized Neural Prediction of Potential Outcomes in Continuous Time


Stabilized Proximal-Point Methods for Federated Optimization


Stabilized finite elements for Tresca friction problem


Stabilizer Tensor Networks: universal quantum simulator on a basis of stabilizer states


Stabilizer ground states: theory, algorithms and applications


Stabilizing Adversarial Nets With Prediction Methods


Stabilizing Backpropagation Through Time to Learn Complex Physics


Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data


Stabilizing Differentiable Architecture Search via Perturbation-based Regularization


Stabilizing Discontinuous Galerkin Methods Using Dafermos' Entropy Rate Criterion: II -- Systems of Conservation Laws and Entropy Inequality Predictors


Stabilizing Elastic Weight Consolidation method in practical ML tasks and using weight importances for neural network pruning


Stabilizing Estimates of Shapley Values with Control Variates


Stabilizing Extreme Q-learning by Maclaurin Expansion


Stabilizing GANs with Soft Octave Convolutions


Stabilizing Gradients for Deep Neural Networks via Efficient SVD Parameterization


Stabilizing Invertible Neural Networks Using Mixture Models


Stabilizing Linear Passive-Aggressive Online Learning with Weighted Reservoir Sampling


Stabilizing Machine Learning Prediction of Dynamics: Noise and Noise-inspired Regularization


Stabilizing Machine Learning for Reproducible and Explainable Results: A Novel Validation Approach to Subject-Specific Insights


Stabilizing Neural Likelihood Ratio Estimation


Stabilizing Off-Policy Deep Reinforcement Learning from Pixels


Stabilizing Training of Generative Adversarial Networks through Regularization


Stabilizing Training with Soft Dynamic Time Warping: A Case Study for Pitch Class Estimation with Weakly Aligned Targets


Stabilizing Transformer Training by Preventing Attention Entropy Collapse


Stabilizing Voltage in Power Distribution Networks via Multi-Agent Reinforcement Learning with Transformer


Stabilizing the Maximal Entropy Moment Method for Rarefied Gas Dynamics at Single-Precision


Stabilizing the unstable output of persistent homology computations


Stable Anderson Acceleration for Deep Learning


Stable Attractors for Neural networks classification via Ordinary Differential Equations (SA-nODE)


Stable Attribute Group Editing for Reliable Few-shot Image Generation


Stable Chimeras and Independently Synchronizable Clusters


Stable Cluster Discrimination for Deep Clustering


Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems


Stable Diffusion Reference Only: Image Prompt and Blueprint Jointly Guided Multi-Condition Diffusion Model for Secondary Painting


Stable Diffusion Segmentation for Biomedical Images with Single-step Reverse Process


Stable Distillation: Regularizing Continued Pre-training for Low-Resource Automatic Speech Recognition


Stable Emulation of an Entire Suite of Model Physics in a State-of-the-Art GCM using a Neural Network


Stable Energy Distribution of Weakly Dissipative Gasses under Collisional Energy Cascades


Stable Flow: Vital Layers for Training-Free Image Editing


Stable Gaussian Process based Tracking Control of Euler-Lagrange Systems


Stable Heterogeneous Treatment Effect Estimation across Out-of-Distribution Populations


Stable Invariant Models via Koopman Spectra


Stable Long-Term Recurrent Video Super-Resolution


Stable Marriage Problems with Ties and Incomplete Preferences: An Empirical Comparison of ASP, SAT, ILP, CP, and Local Search Methods


Stable Marriage with One-Sided Preference


Stable Menus of Public Goods: A Matching Problem


Stable Motion Primitives via Imitation and Contrastive Learning


Stable Multiple Time Step Simulation/Prediction from Lagged Dynamic Network Regression Models


Stable Neighbor Denoising for Source-free Domain Adaptive Segmentation


Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks


Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data


Stable Nonconvex-Nonconcave Training via Linear Interpolation


Stable Policy Optimization via Off-Policy Divergence Regularization


Stable Remaster: Bridging the Gap Between Old Content and New Displays


Stable Similarity Comparison of Persistent Homology Groups


Stable Structure Learning with HC-Stable and Tabu-Stable Algorithms


Stable Target Field for Reduced Variance Score Estimation in Diffusion Models


Stable Training of Normalizing Flows for High-dimensional Variational Inference


Stable Training of Probabilistic Models Using the Leave-One-Out Maximum Log-Likelihood Objective


Stable Tree Labelling for Accelerating Distance Queries on Dynamic Road Networks


Stable Tuple Embeddings for Dynamic Databases


Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise


Stable Volume Dissipation for High-Order Finite-Difference and Spectral-Element Methods with the Summation-by-Parts Property


Stable and Convexified Information Bottleneck Optimization via Symbolic Continuation and Entropy-Regularized Trajectories


Stable and Interpretable Unrolled Dictionary Learning


Stable and Safe Human-aligned Reinforcement Learning through Neural Ordinary Differential Equations


Stable and consistent density-based clustering via multiparameter persistence


Stable and expressive recurrent vision models


Stable and unstable supersonic stagnation of an axisymmetric rotating magnetized plasma


Stable behaviour of infinitely wide deep neural networks


Stable coexistence in indefinitely large systems of competing species


Stable developmental patterns of gene expression without morphogen gradients


Stable discovery of interpretable subgroups via calibration in causal studies


Stable high-order cubature formulas for experimental data


Stable safe screening and structured dictionaries for faster L1 regularization


Stable-BC: Controlling Covariate Shift with Stable Behavior Cloning


Stable-Hair: Real-World Hair Transfer via Diffusion Model


Stable-Makeup: When Real-World Makeup Transfer Meets Diffusion Model


Stable-SPAM: How to Train in 4-Bit More Stably than 16-Bit Adam


StableAnimator: High-Quality Identity-Preserving Human Image Animation


StableFusion: Continual Video Retrieval via Frame Adaptation


StableIdentity: Inserting Anybody into Anywhere at First Sight


StableKD: Breaking Inter-block Optimization Entanglement for Stable Knowledge Distillation


StableLego: Stability Analysis of Block Stacking Assembly


StableMTL: Repurposing Latent Diffusion Models for Multi-Task Learning from Partially Annotated Synthetic Datasets


StableMoE: Stable Routing Strategy for Mixture of Experts


StablePT: Towards Stable Prompting for Few-shot Learning via Input Separation


StablePrompt: Automatic Prompt Tuning using Reinforcement Learning for Large Language Models


StableSims: Optimizing MakerDAO Liquidations 2.0 Incentives via Agent-Based Modeling


StableV2V: Stablizing Shape Consistency in Video-to-Video Editing


StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On


StableVQA: A Deep No-Reference Quality Assessment Model for Video Stability


StableVideo: Text-driven Consistency-aware Diffusion Video Editing


StacerBot: A Stacktrace Search Engine for Stack Overflow


Stack Overflow: A Code Laundering Platform?


Stack Trace Deduplication: Faster, More Accurately, and in More Realistic Scenarios


Stack-based Buffer Overflow Detection using Recurrent Neural Networks


StackEval: Benchmarking LLMs in Coding Assistance


StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics


StackMix and Blot Augmentations for Handwritten Text Recognition


StackRAG Agent: Improving Developer Answers with Retrieval-Augmented Generation


StackRec: Efficient Training of Very Deep Sequential Recommender Models by Iterative Stacking


StackVAE-G: An efficient and interpretable model for time series anomaly detection


Stacked Autoencoder Based Multi-Omics Data Integration for Cancer Survival Prediction


Stacked DeBERT: All Attention in Incomplete Data for Text Classification


Stacked Hourglass Network with a Multi-level Attention Mechanism: Where to Look for Intervertebral Disc Labeling


Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased Scene Graph Generation


Stacked Pooling: Improving Crowd Counting by Boosting Scale Invariance


Stacked U-Nets with Self-Assisted Priors Towards Robust Correction of Rigid Motion Artifact in Brain MRI


Stacked U-Nets: A No-Frills Approach to Natural Image Segmentation


Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning Algorithms


Stackelberg Driver Model for Continual Policy Improvement in Scenario-Based Closed-Loop Autonomous Driving


Stackelberg Game-Theoretic Learning for Collaborative Assembly Task Planning


Stackelberg Game-Theoretic Trajectory Guidance for Multi-Robot Systems with Koopman Operator


Stackelberg Meta-Learning for Strategic Guidance in Multi-Robot Trajectory Planning


Stackelberg POMDP: A Reinforcement Learning Approach for Economic Design


Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection


Stacking enabled strong coupling of atomic motion to interlayer excitons in van der Waals heterojunction photodiodes


Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal Posteriors


Stacking of Hyperparameter Tuned Models for Tagging Coding Problems


Stacking the Odds: Transformer-Based Ensemble for AI-Generated Text Detection


Stacking-Based Deep Neural Network: Deep Analytic Network for Pattern Classification


Stag-1: Towards Realistic 4D Driving Simulation with Video Generation Model


Stage-Parallel Implicit Runge--Kutta methods via low-rank matrix equation corrections


Stage-Wise Reward Shaping for Acrobatic Robots: A Constrained Multi-Objective Reinforcement Learning Approach


Stage-parallel fully implicit Runge-Kutta implementations with optimal multilevel preconditioners at the scaling limit


Stage-wise Fine-tuning for Graph-to-Text Generation


StageInteractor: Query-based Object Detector with Cross-stage Interaction


StageNet: Stage-Aware Neural Networks for Health Risk Prediction


Staged Contact-Aware Global Human Motion Forecasting


Staged Training for Transformer Language Models


Stagewise Boosting Distributional Regression


Stagewise Newton Method for Dynamic Game Control with Imperfect State Observation


Stagewise Unsupervised Domain Adaptation with Adversarial Self-Training for Road Segmentation of Remote Sensing Images


Staggered Scheme for the Compressible Fluctuating Hydrodynamics of Multispecies Fluid Mixtures


Stain Based Contrastive Co-training for Histopathological Image Analysis


Stain Consistency Learning: Handling Stain Variation for Automatic Digital Pathology Segmentation


Stain-aware Domain Alignment for Imbalance Blood Cell Classification


StainFuser: Controlling Diffusion for Faster Neural Style Transfer in Multi-Gigapixel Histology Images


StainGAN: Stain Style Transfer for Digital Histological Images


StainNet: a fast and robust stain normalization network


Stair Climbing Stabilization of the HRP-4 Humanoid Robot using Whole-body Admittance Control


Staircase Cascaded Fusion of Lightweight Local Pattern Recognition and Long-Range Dependencies for Structural Crack Segmentation


Staircase Sign Method for Boosting Adversarial Attacks


StairwayGraphNet for Inter- and Intra-modality Multi-resolution Brain Graph Alignment and Synthesis


Stance Classification for Rumour Analysis in Twitter: Exploiting Affective Information and Conversation Structure


Stance Detection Benchmark: How Robust Is Your Stance Detection?


Stance Detection in Web and Social Media: A Comparative Study


Stance Detection with Bidirectional Conditional Encoding


Stance Detection with Collaborative Role-Infused LLM-Based Agents


Stance Detection: A Practical Guide to Classifying Political Beliefs in Text


Stance Inference in Twitter through Graph Convolutional Collaborative Filtering Networks with Minimal Supervision


Stance Prediction and Analysis of Twitter data : A case study of Ghana 2020 Presidential Elections


Stance Prediction and Claim Verification: An Arabic Perspective


Stance Prediction for Contemporary Issues: Data and Experiments


Stance Reasoner: Zero-Shot Stance Detection on Social Media with Explicit Reasoning


Stanceformer: Target-Aware Transformer for Stance Detection


Stand-Alone Inter-Frame Attention in Video Models


Standard Generators of Finite Fields and their Cyclic Subgroups


Standard Model EFTs via On-Shell Methods


Standard Plane Detection in 3D Fetal Ultrasound Using an Iterative Transformation Network


Standard Vs Uniform Binary Search and Their Variants in Learned Static Indexing: The Case of the Searching on Sorted Data Benchmarking Software Platform


Standard and reference-based conditional mean imputation


Standard error estimation in meta-analysis of studies reporting medians


Standardised convolutional filtering for radiomics


Standardize: Aligning Language Models with Expert-Defined Standards for Content Generation


Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge


Standardized Benchmark Dataset for Localized Exposure to a Realistic Source at 10$-$90 GHz


Standardized Evaluation of Machine Learning Methods for Evolving Data Streams


Standardized Interpretable Fairness Measures for Continuous Risk Scores


Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation


Standardized Non-Intrusive Reduced Order Modeling Using Different Regression Models With Application to Complex Flow Problems


Standardized spectral and radiometric calibration of consumer cameras


Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking


Standing Wave Decomposition Gaussian Process


Standing on the Shoulders of Machine Learning: Can We Improve Hypothesis Testing?


Standing shock prevents propagation of sparks in supersonic explosive flows


Stanford-ORB: A Real-World 3D Object Inverse Rendering Benchmark


Star Classification: A Deep Learning Approach for Identifying Binary and Exoplanet Stars


Star Pattern Fragments: Accessing Knowledge Graphs through Star Patterns


Star Temporal Classification: Sequence Classification with Partially Labeled Data


Star-Agents: Automatic Data Optimization with LLM Agents for Instruction Tuning


Star-Searcher: A Complete and Efficient Aerial System for Autonomous Target Search in Complex Unknown Environments


Star-Shaped Denoising Diffusion Probabilistic Models


Star-galaxy Classification Using Deep Convolutional Neural Networks


StarAlgo: A Squad Movement Planning Library for StarCraft using Monte Carlo Tree Search and Negamax


StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis


StarCraft Micromanagement with Reinforcement Learning and Curriculum Transfer Learning


StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement


StarFT: Robust Fine-tuning of Zero-shot Models via Spuriosity Alignment


StarGAN-VC++: Towards Emotion Preserving Voice Conversion Using Deep Embeddings


StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion


StarMap for Category-Agnostic Keypoint and Viewpoint Estimation


StarPlat: A Versatile DSL for Graph Analytics


StarSRGAN: Improving Real-World Blind Super-Resolution


StarUnLink: identifying and mitigating signals from communications satellites in stellar spectral surveys


StarVQA+: Co-training Space-Time Attention for Video Quality Assessment


Starbucks: Improved Training for 2D Matryoshka Embeddings


StarcNet: Machine Learning for Star Cluster Identification


Stargazer: An Interactive Camera Robot for Capturing How-To Videos Based on Subtle Instructor Cues


Starjob: Dataset for LLM-Driven Job Shop Scheduling


Starlight from JWST: Implications for star formation and dark matter models


Starlight-polarization-based tomography of the magnetized interstellar medium: PASIPHAE's line-of-sight inversion method


Starling: An I/O-Efficient Disk-Resident Graph Index Framework for High-Dimensional Vector Similarity Search on Data Segment


Starlink on the Road: A First Look at Mobile Starlink Performance in Central Europe


Stars or gas? Constraining the hardening processes of massive black-hole binaries with LISA


Starshade Exoplanet Data Challenge: What We Learned


Start Small, Think Big: On Hyperparameter Optimization for Large-Scale Knowledge Graph Embeddings


Start Small: Training Controllable Game Level Generators without Training Data by Learning at Multiple Sizes


Start from Zero: Triple Set Prediction for Automatic Knowledge Graph Completion


StatEcoNet: Statistical Ecology Neural Networks for Species Distribution Modeling


State Aggregation for Distributed Value Iteration in Dynamic Programming


State Chrono Representation for Enhancing Generalization in Reinforcement Learning


State Encoders in Reinforcement Learning for Recommendation: A Reproducibility Study


State Machine Mutation-based Testing Framework for Wireless Communication Protocols


State Merging with Quantifiers in Symbolic Execution


State Relevance for Off-Policy Evaluation


State Representation and Polyomino Placement for the Game Patchwork


State Representations as Incentives for Reinforcement Learning Agents: A Sim2Real Analysis on Robotic Grasping


State Space Closure: Revisiting Endless Online Level Generation via Reinforcement Learning


State Space Models on Temporal Graphs: A First-Principles Study


State Value Generation with Prompt Learning and Self-Training for Low-Resource Dialogue State Tracking


State and Topology Estimation for Unobservable Distribution Systems using Deep Neural Networks


State estimation for control: an approach for output-feedback stochastic MPC


State of What Art? A Call for Multi-Prompt LLM Evaluation


State of the Art Control of Atari Games Using Shallow Reinforcement Learning


State of the Art Optical Character Recognition of 19th Century Fraktur Scripts using Open Source Engines


State of the Art and Potentialities of Graph-level Learning


State spaces of multifactor approximations of nonnegative Volterra processes


State- versus Reaction-Based Information Processing in Biochemical Networks


State-Action Similarity-Based Representations for Off-Policy Evaluation


State-Augmented Learnable Algorithms for Resource Management in Wireless Networks


State-Aware Variational Thompson Sampling for Deep Q-Networks


State-Constrained Zero-Sum Differential Games with One-Sided Information


State-Free Inference of State-Space Models: The Transfer Function Approach


State-Specific Coupled-Cluster Methods for Excited States


State-by-state emission spectra fitting for non-equilibrium plasmas: OH spectra of surface barrier discharge at argon/water interface


State-observation augmented diffusion model for nonlinear assimilation


State-of-the-Art Augmented NLP Transformer models for direct and single-step retrosynthesis


State-of-the-Art Methods for Exposure-Health Studies: results from the Exposome Data Challenge Event


State-of-the-Art Periorbital Distance Prediction and Disease Classification Using Periorbital Features


State-offset Tuning: State-based Parameter-Efficient Fine-Tuning for State Space Models


State-only Imitation with Transition Dynamics Mismatch


State-space deep Gaussian processes with applications


State-space kinetic Ising model reveals task-dependent entropy flow in sparsely active nonequilibrium neuronal dynamics


State-specific protein-ligand complex structure prediction with a multi-scale deep generative model


State-transition dynamics of resting-state functional magnetic resonance imaging data: Model comparison and test-to-retest analysis


State-wise Constrained Policy Optimization


StateAFL: Greybox Fuzzing for Stateful Network Servers


StateAct: State Tracking and Reasoning for Acting and Planning with Large Language Models


StateLens: A Reverse Engineering Solution for Making Existing Dynamic Touchscreens Accessible


Stateful Defenses for Machine Learning Models Are Not Yet Secure Against Black-box Attacks


Stateful Detection of Black-Box Adversarial Attacks


Stateful Detection of Model Extraction Attacks


Stateful Dynamic Partial Order Reduction for Model Checking Event-Driven Applications that Do Not Terminate


Stateless Reinforcement Learning for Multi-Agent Systems: the Case of Spectrum Allocation in Dynamic Channel Bonding WLANs


Statement networks: a power structure narrative as depicted by newspapers


Statement-Level Vulnerability Detection: Learning Vulnerability Patterns Through Information Theory and Contrastive Learning


Statement-based Memory for Neural Source Code Summarization


Statements: Universal Information Extraction from Tables with Large Language Models for ESG KPIs


Statewide Visual Geolocalization in the Wild


Static Analysis Driven Enhancements for Comprehension in Machine Learning Notebooks


Static Application Security Testing of Consensus-Critical Code in the Cosmos Network


Static Deep Q-learning for Green Downlink C-RAN


Static Embeddings as Efficient Knowledge Bases?


Static Gesture Recognition using Leap Motion


Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions


Static and Animated 3D Scene Generation from Free-form Text Descriptions


Static and Dynamic Concepts for Self-supervised Video Representation Learning


Static for Dynamic: Towards a Deeper Understanding of Dynamic Facial Expressions Using Static Expression Data


Statically Inferring Usage Bounds for Infrastructure as Code


Statically Verified Refinements for Multiparty Protocols


StatioCL: Contrastive Learning for Time Series via Non-Stationary and Temporal Contrast


StationRank: Aggregate dynamics of the Swiss railway


Stationary Activations for Uncertainty Calibration in Deep Learning


Stationary Algorithmic Balancing For Dynamic Email Re-Ranking Problem


Stationary Bootstrap: A Refined Error Estimation for Equilibrium Time Series


Stationary Diffusion State Neural Estimation for Multiview Clustering


Stationary Representations: Optimally Approximating Compatibility and Implications for Improved Model Replacements


Stationary vine copula models for multivariate time series


Statistic Selection and MCMC for Differentially Private Bayesian Estimation


Statistical Adaptive Stochastic Gradient Methods


Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection


Statistical Analysis of Quantum State Learning Process in Quantum Neural Networks


Statistical Anomaly Detection via Composite Hypothesis Testing for Markov Models


Statistical Arbitrage Mining for Display Advertising


Statistical Aspects of SHAP: Functional ANOVA for Model Interpretation


Statistical Aspects of X-ray Spectral Analysis


Statistical Assessment of Replicability via Bayesian Model Criticism


Statistical Bias in the Hubble Constant and Mass Power Law Slope for Mock Strong Lenses


Statistical Component Separation for Targeted Signal Recovery in Noisy Mixtures


Statistical Considerations for Cross-Sectional HIV Incidence Estimation Based on Recency Test


Statistical Context Detection for Deep Lifelong Reinforcement Learning


Statistical Depth for Ranking and Characterizing Transformer-Based Text Embeddings


Statistical Distance-Guided Unsupervised Domain Adaptation for Automated Multi-Class Cardiovascular Magnetic Resonance Image Quality Assessment


Statistical Equity: A Fairness Classification Objective


Statistical Estimation of Malware Detection Metrics in the Absence of Ground Truth


Statistical Evaluation of Anomaly Detectors for Sequences


Statistical Field Theory of Polarizable Polymer Chains with Nonlocal Dipolar Interactions


Statistical Finite Elements via Langevin Dynamics


Statistical Guarantees for the Robustness of Bayesian Neural Networks


Statistical Hypothesis Testing for Information Value (IV)


Statistical Impossibility and Possibility of Aligning LLMs with Human Preferences: From Condorcet Paradox to Nash Equilibrium


Statistical Inference for Complete and Incomplete Mobility Trajectories under the Flight-Pause Model


Statistical Inference for Cumulative INAR($\infty$) Processes via Least-Squares


Statistical Inference for Diagnostic Test Accuracy Studies with Multiple Comparisons


Statistical Inference for Fairness Auditing


Statistical Inference for High-Dimensional Linear Regression with Blockwise Missing Data


Statistical Inference for Online Decision Making via Stochastic Gradient Descent


Statistical Inference for Privatized Data with Unknown Sample Size


Statistical Inference for Qualitative Interactions with Applications to Precision Medicine and Differential Network Analysis


Statistical Inference for Sequential Feature Selection after Domain Adaptation


Statistical Inference of Constrained Stochastic Optimization via Sketched Sequential Quadratic Programming


Statistical Inference of the Value Function for Reinforcement Learning in Infinite Horizon Settings


Statistical Inference on Grayscale Images via the Euler-Radon Transform


Statistical Inference on Multi-armed Bandits with Delayed Feedback


Statistical Inference using the Morse-Smale Complex


Statistical Inference with Quantum Measurements: Methodologies for Nitrogen Vacancy Centers in Diamond


Statistical Integration of Heterogeneous Data with PO2PLS


Statistical Jump Model for Mixed-Type Data with Missing Data Imputation


Statistical Learning in Speech: A Biologically Based Predictive Learning Model


Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and Inference


Statistical Linear Models in Virus Genomic Alignment-free Classification: Application to Hepatitis C Viruses


Statistical Loss and Analysis for Deep Learning in Hyperspectral Image Classification


Statistical Machine Learning Meets High-Dimensional Spatiotemporal Challenges -- A Case Study of COVID-19 Modeling


Statistical Machine Learning for Astronomy -- A Textbook


Statistical Measures For Defining Curriculum Scoring Function


Statistical Mechanics of Support Vector Regression


Statistical Methods for Auditing the Quality of Manual Content Reviews


Statistical Methods for Replicability Assessment


Statistical Model Aggregation via Parameter Matching


Statistical Modeling of Combinatorial Response Data


Statistical Modeling of Networked Evolutionary Public Goods Games


Statistical Modelling of Computer Network Traffic Event Times


Statistical Models for Repeated Categorical Ratings: The R Package rater


Statistical Models for the Analysis of Optimization Algorithms with Benchmark Functions


Statistical Multicriteria Evaluation of LLM-Generated Text


Statistical Nonlocality of Dynamically Coherent Structures


Statistical Perspective on Functional and Causal Neural Connectomics: The Time-Aware PC Algorithm


Statistical Quantile Learning for Large, Nonlinear, and Additive Latent Variable Models


Statistical Selection of CNN-Based Audiovisual Features for Instantaneous Estimation of Human Emotional States


Statistical Significance Testing in Information Retrieval: An Empirical Analysis of Type I, Type II and Type III Errors


Statistical Test for Attention Map in Vision Transformer


Statistical Test for Auto Feature Engineering by Selective Inference


Statistical Test for Feature Selection Pipelines by Selective Inference


Statistical Testing under Distributional Shifts


Statistical Tests for Force Inference in Heterogeneous Environments


Statistical Treatment, Fourier and Modal Decomposition


Statistical Uncertainty in Word Embeddings: GloVe-V


Statistical Verification of Linear Classifiers


Statistical Verification of Traffic Systems with Expected Differential Privacy


Statistical algorithms for low-frequency diffusion data: A PDE approach


Statistical analysis of a hierarchical clustering algorithm with outliers


Statistical analysis of periodic data in neuroscience


Statistical and Geometrical properties of regularized Kernel Kullback-Leibler divergence


Statistical and Mathematical Evidence of Rigged Parliamentary Elections in Georgia, 2024


Statistical and Topological Properties of Sliced Probability Divergences


Statistical and Topological Summaries Aid Disease Detection for Segmented Retinal Vascular Images


Statistical association between the candidate repeating FRB 20200320A and a galaxy group


Statistical bounds for entropic optimal transport: sample complexity and the central limit theorem


Statistical data analysis for Tourism in Poland in R Programming Environment


Statistical description of dust polarized emission from the diffuse interstellar medium -- A RWST approach


Statistical divergences in high-dimensional hypothesis testing and a modern technique for estimating them


Statistical error estimates in dynamical mean-field theory and extensions thereof


Statistical field theory for nonlinear elasticity of polymer networks with excluded volume interactions


Statistical geochemical constraints on present-day water outgassing as a source of secondary atmospheres on the TRAPPIST-1 exoplanets


Statistical inference for Levy-driven graph supOU processes: From short- to long-memory in high-dimensional time series


Statistical inference for individual fairness


Statistical inference for radial generalized Pareto distributions and return sets in geometric extremes


Statistical inference for the two-sample problem under likelihood ratio ordering, with application to the ROC curve estimation


Statistical inference of the rates of cell proliferation and phenotypic switching in cancer


Statistical inference of travelers' route choice preferences with system-level data


Statistical issues in Serial Killer Nurse cases


Statistical learning for accurate and interpretable battery lifetime prediction


Statistical learning on measures: an application to persistence diagrams


Statistical learning with phylogenetic network invariants


Statistical mechanical model for crack growth


Statistical mechanics of biomolecular condensates via cavity methods


Statistical mechanics of continual learning: variational principle and mean-field potential


Statistical mechanics of low-rank tensor decomposition


Statistical mechanics of the maximum-average submatrix problem


Statistical methods for Mendelian models with multiple genes and cancers


Statistical model-based evaluation of neural networks


Statistical modeling of categorical trajectories with multivariate functional principal components


Statistical modeling to adjust for time trends in adaptive platform trials utilizing non-concurrent controls


Statistical parametric simulation studies based on real data


Statistical prediction of extreme events from small datasets


Statistical privacy-preserving message dissemination for peer-to-peer networks


Statistical properties of 3D cell geometry from 2D slices


Statistical reduced order modelling for the parametric Helmholtz equation


Statistical spatial analysis for cryo-electron tomography


Statistical summaries of unlabelled evolutionary trees and ranked hierarchical clustering trees


Statistical techniques to estimate the SARS-CoV-2 infection fatality rate


Statistical testing of random number generators and their improvement using randomness extraction


Statistical topology of the streamlines of a two-dimensional flow


Statistical treatment of convolutional neural network super-resolution of inland surface wind for subgrid-scale variability quantification


Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances


Statistically Characterising Robustness and Fidelity of Quantum Controls and Quantum Control Algorithms


Statistically Efficient Advantage Learning for Offline Reinforcement Learning in Infinite Horizons


Statistically Robust Neural Network Classification


Statistically Significant Pattern Mining with Ordinal Utility


Statistically Significant Stopping of Neural Network Training


Statistics of High-Throughput Characterization of Microbial Interactions


Statistics of the epoch of reionization (EoR) 21-cm signal -- II. The evolution of the power spectrum error-covariance


Statistics of the epoch of reionization 21-cm signal - I. Power spectrum error-covariance


Statler: State-Maintaining Language Models for Embodied Reasoning


StatsMerging: Statistics-Guided Model Merging via Task-Specific Teacher Distillation


Status hierarchy and group cooperation: A generalized model


Status of reproducibility and open science in hep-lat in 2021


StawGAN: Structural-Aware Generative Adversarial Networks for Infrared Image Translation


Stay Ahead of Poachers: Illegal Wildlife Poaching Prediction and Patrol Planning Under Uncertainty with Field Test Evaluations


Stay Connected, Leave no Trace: Enhancing Security and Privacy in WiFi via Obfuscating Radiometric Fingerprints


Stay Focused: Problem Drift in Multi-Agent Debate


Stay Hungry, Stay Focused: Generating Informative and Specific Questions in Information-Seeking Conversations


Stay Positive: Knowledge Graph Embedding Without Negative Sampling


Stay Positive: Non-Negative Image Synthesis for Augmented Reality


Staying at the Roach Motel: Cross-Country Analysis of Manipulative Subscription and Cancellation Flows


Staying the course: Locating equilibria of dynamical systems on Riemannian manifolds defined by point-clouds


Steady Progress Beats Stagnation: Mutual Aid of Foundation and Conventional Models in Mixed Domain Semi-Supervised Medical Image Segmentation


Steady State Sensitivity Analysis of Continuous Time Markov Chains


Steady and ranging sets in graph persistence


Steady-State Error Compensation in Reference Tracking and Disturbance Rejection Problems for Reinforcement Learning-Based Control


Steady-State Statistics of Classical Nonlinear Dynamical Systems from Noisy Intermediate-Scale Quantum Devices


Steady-State and Dynamical Behavior of a PDE Model of Multilevel Selection with Pairwise Group-Level Competition


Steady-state Real-time Optimization Using Transient Measurements on an Experimental Rig


Steady-state bubbles beyond local thermal equilibrium


Stealing Black-Box Functionality Using The Deep Neural Tree Architecture


Stealing Machine Learning Models via Prediction APIs


Stealing Stable Diffusion Prior for Robust Monocular Depth Estimation


Stealing and Evading Malware Classifiers and Antivirus at Low False Positive Conditions


Stealing the Decoding Algorithms of Language Models


StealthDiffusion: Towards Evading Diffusion Forensic Detection through Diffusion Model


StealthRank: LLM Ranking Manipulation via Stealthy Prompt Optimization


Stealthy Backdoors as Compression Artifacts


Stealthy Targeted Backdoor Attacks against Image Captioning


Stealthy Terrain-Aware Multi-Agent Active Search


Stealthy Voice Eavesdropping with Acoustic Metamaterials: Unraveling a New Privacy Threat


Stealthy and Persistent Unalignment on Large Language Models via Backdoor Injections


Steel-LLM:From Scratch to Open Source -- A Personal Journey in Building a Chinese-Centric LLM


SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects


SteemOps: Extracting and Analyzing Key Operations in Steemit Blockchain-based Social Media Platform


Steerable $e$PCA: Rotationally Invariant Exponential Family PCA


Steerable Anatomical Shape Synthesis with Implicit Neural Representations


Steerable Scene Generation with Post Training and Inference-Time Search


Steerable discovery of neural audio effects


Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image Synthesis


Steered Response Power for Sound Source Localization: A Tutorial Review


SteeredMarigold: Steering Diffusion Towards Depth Completion of Largely Incomplete Depth Maps


Steerers: A framework for rotation equivariant keypoint descriptors


Steering Away from Harm: An Adaptive Approach to Defending Vision Language Model Against Jailbreaks


Steering Conversational Large Language Models for Long Emotional Support Conversations


Steering Dialogue Dynamics for Robustness against Multi-turn Jailbreaking Attacks


Steering Generative Models with Experimental Data for Protein Fitness Optimization


Steering LLM Thinking with Budget Guidance


Steering Language Model to Stable Speech Emotion Recognition via Contextual Perception and Chain of Thought


Steering Language Models With Activation Engineering


Steering Large Language Models for Machine Translation Personalization


Steering Large Language Models using Conceptors: Improving Addition-Based Activation Engineering


Steering Output Style and Topic in Neural Response Generation


Steering Recommendations and Visualising Its Impact: Effects on Adolescents' Trust in E-Learning Platforms


Steering Without Side Effects: Improving Post-Deployment Control of Language Models


Steering cooperation: Adversarial attacks on prisoner's dilemma in complex networks


Steering the CensorShip: Uncovering Representation Vectors for LLM "Thought" Control


Steering the LoCoMotif: Using Domain Knowledge in Time Series Motif Discovery


StegExpose - A Tool for Detecting LSB Steganography


StegNet: Mega Image Steganography Capacity with Deep Convolutional Network


StegaINR4MIH: steganography by implicit neural representation for multi-image hiding


Steganographic Embeddings as an Effective Data Augmentation


Steganographic Generative Adversarial Networks


Steganography and Probabilistic Risk Analysis: A Game Theoretical Framework for Quantifying Adversary Advantage and Impact


Steganography of Steganographic Networks


StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation


Stein ICP for Uncertainty Estimation in Point Cloud Matching


Stein Latent Optimization for Generative Adversarial Networks


Stein Variational Gradient Descent With Matrix-Valued Kernels


Stein Variational Guided Model Predictive Path Integral Control: Proposal and Experiments with Fast Maneuvering Vehicles


SteinGen: Generating Fidelitous and Diverse Graph Samples


Steinhaus Filtration and Stable Paths in the Mapper


StelNet: Hierarchical Neural Network for Automatic Inference in Stellar Characterization


Stellar Bars in Isolated Gas-Rich Spiral Galaxies Do Not Slow Down


Stellar Characterization of Keck HIRES Spectra with The Cannon


Stellar Evolution and Tidal Dissipation in REBOUNDx


Stellar Evolution in Real Time II: R Hydrae and an Open-Source Grid of >3000 Seismic TP-AGB Models Computed with MESA


Stellar Flyby Analysis for Spiral Arm Hosts with Gaia DR3


Stellar Inventory of the Solar Neighborhood using Gaia DR1


Stellar Karaoke: deep blind separation of terrestrial atmospheric effects out of stellar spectra by velocity whitening


Stellar Models are Reliable at Low Metallicity: An Asteroseismic Age for the Ancient Very Metal-Poor Star KIC 8144907


Stellar Population Properties in the Stellar Streams Around SPRC047


Stellar Reddening Based Extinction Maps for Cosmological Applications


Stellar Tidal Disruption Events with Abundances and Realistic Structures (STARS): Library of Fallback Rates


Stellar Tidal Disruptions by Newborn Neutron Stars or Black Holes: A Mechanism for Hydrogen-poor (Super)luminous Supernovae and Fast Blue Optical Transients


Stellar Wind Confinement of Evaporating Exoplanet Atmospheres and its Signatures in 1083 nm Observations


Stellar and Weak Lensing Profiles of Massive Galaxies in the Hyper-Suprime Cam Survey and in Hydrodynamic Simulations


Stellar associations powering HII regions $\unicode{x2013}$ I. Defining an evolutionary sequence


Stellar convective penetration: parameterized theory and dynamical simulations


Stellar initial mass function variation in massive early-type galaxies: the potential role of the deuterium abundance


Stellar mass and radius estimation using Artificial Intelligence


Stellar population synthesis models with a physically varying IMF


Stellar prospects for FRB gravitational lensing


Stellector: a laser aided night sky explorer for teaching astronomy


SteloCoder: a Decoder-Only LLM for Multi-Language to Python Code Translation


Stem-JEPA: A Joint-Embedding Predictive Architecture for Musical Stem Compatibility Estimation


Stem-OB: Generalizable Visual Imitation Learning with Stem-Like Convergent Observation through Diffusion Inversion


Stem-cell differentiation underpins reproducible morphogenesis


Stem-leaf segmentation and phenotypic trait extraction of maize shoots from three-dimensional point cloud


StemP: A fast and deterministic Stem-graph approach for RNA and protein folding prediction


StenUNet: Automatic Stenosis Detection from X-ray Coronary Angiography


Step Back to Leap Forward: Self-Backtracking for Boosting Reasoning of Language Models


Step size control for explicit relaxation Runge-Kutta methods preserving invariants


Step-Back Profiling: Distilling User History for Personalized Scientific Writing


Step-Controlled DPO: Leveraging Stepwise Error for Enhanced Mathematical Reasoning


Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs


Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model


Step-based checkpointing with high-level algorithmic differentiation


Step-by-Step Fact Verification System for Medical Claims with Explainable Reasoning


Step-by-Step Guidance to Differential Anemia Diagnosis with Real-World Data and Deep Reinforcement Learning


Step-by-Step Reasoning to Solve Grid Puzzles: Where do LLMs Falter?


Step-by-step Instructions and a Simple Tabular Output Format Improve the Dependency Parsing Accuracy of LLMs


Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning


Step-wise Distribution Alignment Guided Style Prompt Tuning for Source-free Cross-domain Few-shot Learning


Step-wise Policy for Rare-tool Knowledge (SPaRK): Offline RL that Drives Diverse Tool Use in LLMs


Step1X-Edit: A Practical Framework for General Image Editing


Step: a tool to perform tests of smoothness on differential distributions based on expansion of polynomials


StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback


StepCountJITAI: simulation environment for RL with application to physical activity adaptive intervention


StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts


StepMathAgent: A Step-Wise Agent for Evaluating Mathematical Processes through Tree-of-Error


StepMix: A Python Package for Pseudo-Likelihood Estimation of Generalized Mixture Models with External Variables


StepProof: Step-by-step verification of natural language mathematical proofs


StepTool: A Step-grained Reinforcement Learning Framework for Tool Learning in LLMs


Stepping Stones to Inductive Synthesis of Low-Level Looping Programs


Stepping Stones: A Progressive Training Strategy for Audio-Visual Semantic Segmentation


Stepwise Alignment for Constrained Language Model Policy Optimization


Stepwise Decomposition and Dual-stream Focus: A Novel Approach for Training-free Camouflaged Object Segmentation


Stepwise Extractive Summarization and Planning with Structured Transformers


Stepwise Feature Fusion: Local Guides Global


Stepwise Goal-Driven Networks for Trajectory Prediction


Stepwise Migration of a Monolith to a Microservices Architecture: Performance and Migration Effort Evaluation


Stepwise Self-Consistent Mathematical Reasoning with Large Language Models


Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors


Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail


Stereo Camera Visual SLAM with Hierarchical Masking and Motion-state Classification at Outdoor Construction Sites Containing Large Dynamic Objects


Stereo Event-based Visual-Inertial Odometry


Stereo Event-based, 6-DOF Pose Tracking for Uncooperative Spacecraft


Stereo Hybrid Event-Frame (SHEF) Cameras for 3D Perception


Stereo Magnification: Learning View Synthesis using Multiplane Images


Stereo Matching Based on Visual Sensitive Information


Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches


Stereo Plane SLAM Based on Intersecting Lines


Stereo Waterdrop Removal with Row-wise Dilated Attention


Stereo-LiDAR Depth Estimation with Deformable Propagation and Learned Disparity-Depth Conversion


Stereo-LiDAR Fusion by Semi-Global Matching With Discrete Disparity-Matching Cost and Semidensification


Stereo-NEC: Enhancing Stereo Visual-Inertial SLAM Initialization with Normal Epipolar Constraints


StereoCrafter-Zero: Zero-Shot Stereo Video Generation with Noisy Restart


StereoDiffusion: Training-Free Stereo Image Generation Using Latent Diffusion Models


StereoKG: Data-Driven Knowledge Graph Construction for Cultural Knowledge and Stereotypes


StereoMap: Quantifying the Awareness of Human-like Stereotypes in Large Language Models


StereoSet: Measuring stereotypical bias in pretrained language models


StereoSpike: Depth Learning with a Spiking Neural Network


Stereographic Spherical Sliced Wasserstein Distances


Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations


Stereoscopic Universal Perturbations across Different Architectures and Datasets


Steric engineering of point defects in lead halide perovskites


Sterile Neutrinos from Dark Matter: A $ν$ Nightmare?


Sterile neutrino dark matter production in presence of non-standard neutrino self-interactions: an EFT approach


Sterile neutrino dark matter: A tale of weak interactions in the strong coupling epoch


Stethoscope-guided Supervised Contrastive Learning for Cross-domain Adaptation on Respiratory Sound Classification


Steward: Natural Language Web Automation


Sticky Brownian Rounding and its Applications to Constraint Satisfaction Problems


Sticky coupling as a control variate for sensitivity analysis


StickyLand: Breaking the Linear Presentation of Computational Notebooks


Stiff Neural Ordinary Differential Equations


Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics


StiffGIPC: Advancing GPU IPC for stiff affine-deformable simulation


Still a Pain in the Neck: Evaluating Text Representations on Lexical Composition


Stillleben: Realistic Scene Synthesis for Deep Learning in Robotics


Stimulating Diffusion Model for Image Denoising via Adaptive Embedding and Ensembling


Stingray: A Modern Python Library For Spectral Timing


Stirring the cosmic pot: how black hole feedback shapes the matter power spectrum in the Fable simulations


Stitch Fix for Mapper and Topological Gains


Stitch it in Time: GAN-Based Facial Editing of Real Videos


StitchNet: Composing Neural Networks from Pre-Trained Fragments


Stitched ViTs are Flexible Vision Backbones


Stitching Sub-Trajectories with Conditional Diffusion Model for Goal-Conditioned Offline RL


Stitching the Spectrum: Semantic Spectrum Segmentation with Wideband Signal Stitching


StixelNExT: Toward Monocular Low-Weight Perception for Object Segmentation and Free Space Detection


StoRIR: Stochastic Room Impulse Response Generation for Audio Data Augmentation


StochCA: A Novel Approach for Exploiting Pretrained Models with Cross-Attention


Stochastic $p$th root approximation of a stochastic matrix: A Riemannian optimization approach


Stochastic Activation Pruning for Robust Adversarial Defense


Stochastic Actor Oriented Model with Random Effects


Stochastic Aggregation in Graph Neural Networks


Stochastic Approaches to Asset Price Analysis


Stochastic Approximation Cut Algorithm for Inference in Modularized Bayesian Models


Stochastic Approximation EM for Exploratory Item Factor Analysis


Stochastic Approximation EM for Logistic Regression with Missing Values


Stochastic Approximation with Biased MCMC for Expectation Maximization


Stochastic Approximation with Decision-Dependent Distributions: Asymptotic Normality and Optimality


Stochastic Attraction-Repulsion Embedding for Large Scale Image Localization


Stochastic Bandits with Context Distributions


Stochastic Bandits with ReLU Neural Networks


Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation


Stochastic Block Models are a Discrete Surface Tension


Stochastic Bridges as Effective Regularizers for Parameter-Efficient Tuning


Stochastic Bundle Adjustment for Efficient and Scalable 3D Reconstruction


Stochastic Calibration of Radio Interferometers


Stochastic Causal Programming for Bounding Treatment Effects


Stochastic Coherence Over Attention Trajectory For Continuous Learning In Video Streams


Stochastic Collapse: How Gradient Noise Attracts SGD Dynamics Towards Simpler Subnetworks


Stochastic Composition Optimization of Functions without Lipschitz Continuous Gradient


Stochastic Conditional Diffusion Models for Robust Semantic Image Synthesis


Stochastic Conjugate Frameworks for Nonconvex and Nonsmooth Optimization


Stochastic Conjugate Gradient Algorithm with Variance Reduction


Stochastic Control Barrier Functions for Economics


Stochastic Control and Pricing for Natural Gas Networks


Stochastic DC Optimal Power Flow With Reserve Saturation


Stochastic Data-Driven Predictive Control: Chance-Constraint Satisfaction with Identified Multi-step Predictors


Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning


Stochastic Differential Equations with Variational Wishart Diffusions


Stochastic Differentially Private and Fair Learning


Stochastic Diffusion: A Diffusion Probabilistic Model for Stochastic Time Series Forecasting


Stochastic Dynamic Programming Heuristic for the (R, s, S) Policy Parameters Computation


Stochastic Estimation of Dynamical Variables


Stochastic Extragradient with Random Reshuffling: Improved Convergence for Variational Inequalities


Stochastic Extragradient: General Analysis and Improved Rates


Stochastic First-Order Algorithms for Constrained Distributionally Robust Optimization


Stochastic First-Order Learning for Large-Scale Flexibly Tied Gaussian Mixture Model


Stochastic Forward-Forward Learning through Representational Dimensionality Compression


Stochastic Frank-Wolfe for Composite Convex Minimization


Stochastic Gene Expression Model of Nuclear-to-Cell Ratio Homeostasis


Stochastic Gradient Annealed Importance Sampling for Efficient Online Marginal Likelihood Estimation


Stochastic Gradient Coding for Straggler Mitigation in Distributed Learning


Stochastic Gradient Descent with Polyak's Learning Rate


Stochastic Gradient Descent with Preconditioned Polyak Step-size


Stochastic Gradient Descent without Full Data Shuffle


Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity


Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods


Stochastic Gradient Descent-like relaxation is equivalent to Metropolis dynamics in discrete optimization and inference problems


Stochastic Gradient Variance Reduction by Solving a Filtering Problem


Stochastic Halpern Iteration with Variance Reduction for Stochastic Monotone Inclusions


Stochastic Hard Thresholding Algorithms for AUC Maximization


Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic


Stochastic Integration Based Estimator: Robust Design and Stone Soup Implementation


Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization


Stochastic Iterative Methods for Online Rank Aggregation from Pairwise Comparisons


Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machines


Stochastic Lagrangian Dynamics of Vorticity. I. General Theory


Stochastic Latent Residual Video Prediction


Stochastic Latent Transformer: Efficient Modelling of Stochastically Forced Zonal Jets


Stochastic Layer-Wise Shuffle: A Good Practice to Improve Vision Mamba Training


Stochastic Local Winner-Takes-All Networks Enable Profound Adversarial Robustness


Stochastic Localization via Iterative Posterior Sampling


Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels


Stochastic Model of siRNA Endosomal Escape Mediated by Fusogenic Peptides in OVCAR-3


Stochastic Modeling of Biofilm Formation with Bacterial Quorum Sensing


Stochastic Modelling of Star Formation Histories III. Constraints from Physically-Motivated Gaussian Processes


Stochastic Monkeys at Play: Random Augmentations Cheaply Break LLM Safety Alignment


Stochastic Multi-Person 3D Motion Forecasting


Stochastic Multiple Target Sampling Gradient Descent


Stochastic Mutual Information Gradient Estimation for Dimensionality Reduction Networks


Stochastic Neighbor Embedding with Gaussian and Student-t Distributions: Tutorial and Survey


Stochastic Neural Networks for Automatic Cell Tracking in Microscopy Image Sequences of Bacterial Colonies


Stochastic Neural Networks for Hierarchical Reinforcement Learning


Stochastic Non-convex Ordinal Embedding with Stabilized Barzilai-Borwein Step Size


Stochastic Nonlinear Model Predictive Control with State Estimation by Incorporation of the Unscented Kalman Filter


Stochastic Normalizing Flows for Inverse Problems: a Markov Chains Viewpoint


Stochastic Occupancy Grid Map Prediction in Dynamic Scenes


Stochastic Optimal Control for Collective Variable Free Sampling of Molecular Transition Paths


Stochastic Optimal Control of a Sailboat


Stochastic Optimal Control via Hilbert Space Embeddings of Distributions


Stochastic Optimal Control via Local Occupation Measures


Stochastic Optimization for Performative Prediction


Stochastic Optimization for Spectral Risk Measures


Stochastic Optimization of Sorting Networks via Continuous Relaxations


Stochastic Optimization under Distributional Drift


Stochastic Optimization with Heavy-Tailed Noise via Accelerated Gradient Clipping


Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite-Sum Structure


Stochastic Parameterization using Compressed Sensing: Application to the Lorenz-96 Atmospheric Model


Stochastic Parrots Looking for Stochastic Parrots: LLMs are Easy to Fine-Tune and Hard to Detect with other LLMs


Stochastic Perturbations of Tabular Features for Non-Deterministic Inference with Automunge


Stochastic Polyak Step-sizes and Momentum: Convergence Guarantees and Practical Performance


Stochastic Proximal Langevin Algorithm: Potential Splitting and Nonasymptotic Rates


Stochastic Quadratic Dynamic Programming


Stochastic Quadrature Rules for Solving PDEs using Neural Networks


Stochastic Reconstruction of Gappy Lagrangian Turbulent Signals by Conditional Diffusion Models


Stochastic Robustness Interval for Motion Planning with Signal Temporal Logic


Stochastic Saddle Point Problems with Decision-Dependent Distributions


Stochastic Security: Adversarial Defense Using Long-Run Dynamics of Energy-Based Models


Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty


Stochastic Segmentation with Conditional Categorical Diffusion Models


Stochastic Simulated Quantum Annealing for Fast Solution of Combinatorial Optimization Problems


Stochastic Simulation to Visualize Gene Expression and Error Correction in Living Cells


Stochastic Subgraph Neighborhood Pooling for Subgraph Classification


Stochastic Subspace via Probabilistic Principal Component Analysis for Characterizing Model Error


Stochastic Substitute Training: A Gray-box Approach to Craft Adversarial Examples Against Gradient Obfuscation Defenses


Stochastic Super-Resolution for Downscaling Time-Evolving Atmospheric Fields with a Generative Adversarial Network


Stochastic Surprisal: An inferential measurement of Free Energy in Neural Networks


Stochastic Talking Face Generation Using Latent Distribution Matching


Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators


Stochastic Thermodynamics of Non-Linear Electronic Circuits: A Realistic Framework for Computing around kT


Stochastic Threshold Model Trees: A Tree-Based Ensemble Method for Dealing with Extrapolation


Stochastic Training is Not Necessary for Generalization


Stochastic Training of Neural Networks via Successive Convex Approximations


Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion


Stochastic Transformer Networks with Linear Competing Units: Application to end-to-end SL Translation


Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability


Stochastic Variance Reduced Primal Dual Algorithms for Empirical Composition Optimization


Stochastic Variance Reduction for Variational Inequality Methods


Stochastic Variance-Reduced Iterative Hard Thresholding in Graph Sparsity Optimization


Stochastic Variance-Reduced Majorization-Minimization Algorithms


Stochastic Variance-Reduced Newton: Accelerating Finite-Sum Minimization with Large Batches


Stochastic Video Generation with a Learned Prior


Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation


Stochastic WaveNet: A Generative Latent Variable Model for Sequential Data


Stochastic Weight Matrix-based Regularization Methods for Deep Neural Networks


Stochastic Zeroth Order Gradient and Hessian Estimators: Variance Reduction and Refined Bias Bounds


Stochastic algorithms with descent guarantees for ICA


Stochastic algorithms with geometric step decay converge linearly on sharp functions


Stochastic and self-consistent 3D modeling of streamer discharge trees with Kinetic Monte Carlo


Stochastic approximation to MBAR and TRAM: batch-wise free energy estimation


Stochastic behavior of an n-node blockchain under cyber attacks from multiple hackers with random re-setting times


Stochastic blockmodel approximation of a graphon: Theory and consistent estimation


Stochastic cellular automaton model of culture formation


Stochastic defense against complex grid attacks


Stochastic diffusion using mean-field limits to approximate master equations


Stochastic dynamics and ribosome-RNAP interactions in Transcription-Translation Coupling


Stochastic embeddings of dynamical phenomena through variational autoencoders


Stochastic failure of cell infection post viral entry: Implications for infection outcomes and antiviral therapy


Stochastic filtering for multiscale stochastic reaction networks based on hybrid approximations


Stochastic filtering with moment representation


Stochastic first-order methods: non-asymptotic and computer-aided analyses via potential functions


Stochastic gene expression with a multistate promoter: breaking down exact distributions


Stochastic gradient descent methods for estimation with large data sets


Stochastic gradient descent with gradient estimator for categorical features


Stochastic gravitational wave background detection using NANOGrav 15-year data set in the context of massive gravity


Stochastic interior-point methods for smooth conic optimization with applications


Stochastic interpolants with data-dependent couplings


Stochastic kinetic treatment of protein aggregation and the effects of macromolecular crowding


Stochastic level-set method for shape optimisation


Stochastic loss reserving with mixture density neural networks


Stochastic modeling of surface scalar-flux fluctuations in turbulent channel flow using one-dimensional turbulence


Stochastic models of advection-diffusion in layered media


Stochastic nodal surfaces in quantum Monte Carlo calculations


Stochastic nucleosome disassembly mediated by remodelers and histone fragmentation


Stochastic optimal well control in subsurface reservoirs using reinforcement learning


Stochastic optimization with arbitrary recurrent data sampling


Stochastic parameter optimization analysis of dynamical quantum critical phenomena in long-range transverse-field Ising chain


Stochastic parareal: an application of probabilistic methods to time-parallelisation


Stochastic positional embeddings improve masked image modeling


Stochastic proximal splitting algorithm for composite minimization


Stochastic reachability of a target tube: Theory and computation


Stochastic regularized majorization-minimization with weakly convex and multi-convex surrogates


Stochastic rounding variance and probabilistic bounds: A new approach


Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification


Stochastic stiffness identification and response estimation of Timoshenko beams via physics-informed Gaussian processes


Stochastic tree ensembles for regularized nonlinear regression


Stochastic unfolding of nanoconfined DNA: experiments, model and Bayesian analysis


Stochastic waveform estimation at the fundamental quantum limit


Stochastic-YOLO: Efficient Probabilistic Object Detection under Dataset Shifts


Stochasticity in Neural ODEs: An Empirical Study


Stock Broad-Index Trend Patterns Learning via Domain Knowledge Informed Generative Network


Stock Market Trend Analysis Using Hidden Markov Model and Long Short Term Memory


Stock Movement Prediction Based on Bi-typed Hybrid-relational Market Knowledge Graph via Dual Attention Networks


Stock Movement and Volatility Prediction from Tweets, Macroeconomic Factors and Historical Prices


Stock Trading Volume Prediction with Dual-Process Meta-Learning


Stock market forecasting using DRAGAN and feature matching


StockBot: Using LSTMs to Predict Stock Prices


StofNet: Super-resolution Time of Flight Network


Stoichiometric growth of SrTiO3 films via Bayesian optimization with adaptive prior mean


Stokes Inversion based on Convolutional Neural Networks


Stokes drift should not be added to ocean general circulation model velocities


Stokes waves at the critical depth are modulational unstable


Stolen Subwords: Importance of Vocabularies for Machine Translation Model Stealing


Stonefish: Supporting Machine Learning Research in Marine Robotics


Stop Looking for Important Tokens in Multimodal Language Models: Duplication Matters More


Stop Measuring Calibration When Humans Disagree


Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models


Stop Pre-Training: Adapt Visual-Language Models to Unseen Languages


Stop Reasoning! When Multimodal LLM with Chain-of-Thought Reasoning Meets Adversarial Image


Stop Wasting My Time! Saving Days of ImageNet and BERT Training with Latest Weight Averaging


Stop the Clock: Are Timeout Effects Real?


Stop&Hop: Early Classification of Irregular Time Series


Stop-and-Stare: Optimal Sampling Algorithms for Viral Marketing in Billion-scale Networks


StopHC: A Harmful Content Detection and Mitigation Architecture for Social Media Platforms


StopThePop: Sorted Gaussian Splatting for View-Consistent Real-time Rendering


Stopping Bayesian Optimization with Probabilistic Regret Bounds


Stopping Criterion for Active Learning Based on Error Stability


Stopping GAN Violence: Generative Unadversarial Networks


Stopping Methods for Technology Assisted Reviews based on Point Processes


StorSeismic: A new paradigm in deep learning for seismic processing


Storage Management in Modern Electricity Power Grids


Storchastic: A Framework for General Stochastic Automatic Differentiation


Storehouse: a Reinforcement Learning Environment for Optimizing Warehouse Management


Storing a Trie with Compact and Predictable Space


Story Ending Generation with Incremental Encoding and Commonsense Knowledge


Story Realization: Expanding Plot Events into Sentences


Story Visualization by Online Text Augmentation with Context Memory


StoryAnalogy: Deriving Story-level Analogies from Large Language Models to Unlock Analogical Understanding


StoryBench: A Multifaceted Benchmark for Continuous Story Visualization


StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuation


StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation


StoryER: Automatic Story Evaluation via Ranking, Rating and Reasoning


StoryGAN: A Sequential Conditional GAN for Story Visualization


StoryImager: A Unified and Efficient Framework for Coherent Story Visualization and Completion


StoryMaker: Towards Holistic Consistent Characters in Text-to-image Generation


StoryReasoning Dataset: Using Chain-of-Thought for Scene Understanding and Grounded Story Generation


StorySparkQA: Expert-Annotated QA Pairs with Real-World Knowledge for Children's Story-Based Learning


StoryTeller: Improving Long Video Description through Global Audio-Visual Character Identification


StoryTrans: Non-Parallel Story Author-Style Transfer with Discourse Representations and Content Enhancing


StoryWeaver: A Unified World Model for Knowledge-Enhanced Story Character Customization


StoryWriter: A Multi-Agent Framework for Long Story Generation


Str2Str: A Score-based Framework for Zero-shot Protein Conformation Sampling


Straggler Mitigation through Unequal Error Protection for Distributed Approximate Matrix Multiplication


Straggler-Resilient Personalized Federated Learning


Stragglers-Aware Low-Latency Synchronous Federated Learning via Layer-Wise Model Updates


Straight to the Gradient: Learning to Use Novel Tokens for Neural Text Generation


Straight to the Point: Fast-forwarding Videos via Reinforcement Learning Using Textual Data


Straight-Line Diffusion Model for Efficient 3D Molecular Generation


StraightPCF: Straight Point Cloud Filtering


Strain-engineering the topological type-II Dirac semimetal NiTe$_2$


Strain-induced superfluid transition for atoms on graphene


StrandHead: Text to Strand-Disentangled 3D Head Avatars Using Hair Geometric Priors


Stranger Danger! Identifying and Avoiding Unpredictable Pedestrians in RL-based Social Robot Navigation


Strassen's algorithm is not optimally accurate


StrassenNets: Deep Learning with a Multiplication Budget


StratLearn-z: Improved photo-$z$ estimation from spectroscopic data subject to selection effects


Strategic Analysis of Griefing Attack in Lightning Network


Strategic Bidding Wars in On-chain Auctions


Strategic Classification with Graph Neural Networks


Strategic Collusion of LLM Agents: Market Division in Multi-Commodity Competitions


Strategic Evaluation in Optimizing the Internal Supply Chain Using TOPSIS: Evidence In A Coil Winding Machine Manufacturer


Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses


Strategic Latency Reduction in Blockchain Peer-to-Peer Networks


Strategic Learning and Trading in Broker-Mediated Markets


Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects


Strategic Safety-Critical Attacks Against an Advanced Driver Assistance System


Strategic Usage in a Multi-Learner Setting


Strategic Voting Under Uncertainty About the Voting Method


Strategies for Improving NL-to-FOL Translation with LLMs: Data Generation, Incremental Fine-Tuning, and Verification


Strategies for Rare Population Detection and Sampling: A Methodological Approach in Liguria


Strategies for the Iterated Prisoner's Dilemma


Strategies, model checking and branching-time properties in Maude


Strategy-Augmented Planning for Large Language Models via Opponent Exploitation


StrategyLLM: Large Language Models as Strategy Generators, Executors, Optimizers, and Evaluators for Problem Solving


Strategyproofing Peer Assessment via Partitioning: The Price in Terms of Evaluators' Expertise


Stratification of canopy magnetic fields in a plage region. Constraints from a spatially-regularized weak-field approximation method


Stratification of patient trajectories using covariate latent variable models


Stratification of uncertainties recalibrated by isotonic regression and its impact on calibration error statistics


Stratified Adversarial Robustness with Rejection


Stratified Domain Adaptation: A Progressive Self-Training Approach for Scene Text Recognition


Stratified Multivariate Multiscale Dispersion Entropy for Physiological Signal Analysis


Stratified Rule-Aware Network for Abstract Visual Reasoning


Stratified Transformer for 3D Point Cloud Segmentation


Stratified and vertically-shearing streaming instabilities in protoplanetary disks


Stratified disc wind models for the AGN broad-line region: ultraviolet, optical and X-ray properties


Stratified incomplete local simplex tests for curvature of nonparametric multiple regression


Stratified modestly-weighted log-rank tests in settings with an anticipated delayed separation of survival curves


Stratified stochastic variational inference for high-dimensional network factor model


Strawman: an Ensemble of Deep Bag-of-Ngrams for Sentiment Analysis


StreakNet-Arch: An Anti-scattering Network-based Architecture for Underwater Carrier LiDAR-Radar Imaging


Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction


Stream DaQ: Stream-First Data Quality Monitoring


Stream Members Only: Data-Driven Characterization of Stellar Streams with Mixture Density Networks


Stream Processing With Dependency-Guided Synchronization (Extended Version)


Stream of Search (SoS): Learning to Search in Language


Stream-HLS: Towards Automatic Dataflow Acceleration


Stream-K: Work-centric Parallel Decomposition for Dense Matrix-Matrix Multiplication on the GPU


Stream-Omni: Simultaneous Multimodal Interactions with Large Language-Vision-Speech Model


Stream-based Active Learning with Verification Latency in Non-stationary Environments


Stream-level Latency Evaluation for Simultaneous Machine Translation


Stream-level flow matching with Gaussian processes


StreamBench: Towards Benchmarking Continuous Improvement of Language Agents


StreamFP: Learnable Fingerprint-guided Data Selection for Efficient Stream Learning


StreamFlow: Streamlined Multi-Frame Optical Flow Estimation for Video Sequences


StreamGen: Connecting Populations of Streams and Shells to Their Host Galaxies


StreamHover: Livestream Transcript Summarization and Annotation


StreamMOS: Streaming Moving Object Segmentation with Multi-View Perception and Dual-Span Memory


StreamMapNet: Streaming Mapping Network for Vectorized Online HD Map Construction


StreamOptix: A Cross-layer Adaptive Video Delivery Scheme


StreamSide: A Fully-Customizable Open-Source Toolkit for Efficient Annotation of Meaning Representations


StreamSplat: Towards Online Dynamic 3D Reconstruction from Uncalibrated Video Streams


Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach


Streaming 4D Visual Geometry Transformer


Streaming Active Learning with Deep Neural Networks


Streaming Adaptation of Deep Forecasting Models using Adaptive Recurrent Units


Streaming Audio Transformers for Online Audio Tagging


Streaming Classification of Variable Stars


Streaming Coresets for Symmetric Tensor Factorization


Streaming Decoder-Only Automatic Speech Recognition with Discrete Speech Units: A Pilot Study


Streaming Deep Reinforcement Learning Finally Works


Streaming Detection of Queried Event Start


Streaming Diffusion Policy: Fast Policy Synthesis with Variable Noise Diffusion Models


Streaming Generalized Canonical Polyadic Tensor Decompositions


Streaming Joint Speech Recognition and Disfluency Detection


Streaming Kernel PCA with $\tilde{O}(\sqrt{n})$ Random Features


Streaming Maximum-Minimum Filter Using No More than Three Comparisons per Element


Streaming Message Interface: High-Performance Distributed Memory Programming on Reconfigurable Hardware


Streaming Motion Forecasting for Autonomous Driving


Streaming Non-monotone Submodular Maximization: Personalized Video Summarization on the Fly


Streaming Private Continual Counting via Binning


Streaming Quantiles Algorithms with Small Space and Update Time


Streaming Radiance Fields for 3D Video Synthesis


Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks


Streaming Sparse Gaussian Process Approximations


Streaming Velocity Effects on the Post-reionization 21 cm Baryon Acoustic Oscillation Signal


Streaming Video Diffusion: Online Video Editing with Diffusion Models


Streaming Video Question-Answering with In-context Video KV-Cache Retrieval


Streaming Video Understanding and Multi-round Interaction with Memory-enhanced Knowledge


Streaming Weak Submodularity: Interpreting Neural Networks on the Fly


Streaming Word Embeddings with the Space-Saving Algorithm


Streaming and Distributed Algorithms for Robust Column Subset Selection


Streaming convolutional neural networks for end-to-end learning with multi-megapixel images


Streaming data preprocessing via online tensor recovery for large environmental sensor networks


Streaming detection of significant delay changes in public transport systems


Streaming vs. Functions: A Cost Perspective on Cloud Event Processing


Streaming-capable High-performance Architecture of Learned Image Compression Codecs


StreamingDialogue: Prolonged Dialogue Learning via Long Context Compression with Minimal Losses


StreamingFlow: Streaming Occupancy Forecasting with Asynchronous Multi-modal Data Streams via Neural Ordinary Differential Equation