Per-Pixel Feedback for improving Semantic Segmentation


PerAct2: Benchmarking and Learning for Robotic Bimanual Manipulation Tasks


PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees


PerCoV2: Improved Ultra-Low Bit-Rate Perceptual Image Compression with Implicit Hierarchical Masked Image Modeling


PerLDiff: Controllable Street View Synthesis Using Perspective-Layout Diffusion Models


PerPO: Perceptual Preference Optimization via Discriminative Rewarding


PerSRV: Personalized Sticker Retrieval with Vision-Language Model


PerSense: Personalized Instance Segmentation in Dense Images


PerSphere: A Comprehensive Framework for Multi-Faceted Perspective Retrieval and Summarization


PerceMon: Online Monitoring for Perception Systems


Perceive Where to Focus: Learning Visibility-aware Part-level Features for Partial Person Re-identification


Perceive, Ground, Reason, and Act: A Benchmark for General-purpose Visual Representation


Perceive, Understand and Restore: Real-World Image Super-Resolution with Autoregressive Multimodal Generative Models


Perceived Conversation Quality in Spontaneous Interactions


Perceived and Intended Sarcasm Detection with Graph Attention Networks


Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation


Perceiver-VL: Efficient Vision-and-Language Modeling with Iterative Latent Attention


Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild


Perceiving and Modeling Density is All You Need for Image Dehazing


Perceiving the World: Question-guided Reinforcement Learning for Text-based Games


Percentile Criterion Optimization in Offline Reinforcement Learning


Percentile Risk-Constrained Budget Pacing for Guaranteed Display Advertising in Online Optimization


Perceptimatic: A human speech perception benchmark for unsupervised subword modelling


Perception Characteristics Distance: Measuring Stability and Robustness of Perception System in Dynamic Conditions under a Certain Decision Rule


Perception Consistency Ultrasound Image Super-resolution via Self-supervised CycleGAN


Perception Datasets for Anomaly Detection in Autonomous Driving: A Survey


Perception Evaluation -- A new solar image quality metric based on the multi-fractal property of texture features


Perception Matters: Exploring Imperceptible and Transferable Anti-forensics for GAN-generated Fake Face Imagery Detection


Perception Visualization: Seeing Through the Eyes of a DNN


Perception of prosodic variation for speech synthesis using an unsupervised discrete representation of F0


Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models


Perception, performance, and detectability of conversational artificial intelligence across 32 university courses


Perception-Aware Perching on Powerlines with Multirotors


Perception-Distortion Balanced ADMM Optimization for Single-Image Super-Resolution


Perception-Distortion Balanced Super-Resolution: A Multi-Objective Optimization Perspective


Perception-Guided Quality Metric of 3D Point Clouds Using Hybrid Strategy


Perception-Inspired Graph Convolution for Music Understanding Tasks


Perception-Oriented Latent Coding for High-Performance Compressed Domain Semantic Inference


Perception-Oriented Single Image Super-Resolution using Optimal Objective Estimation


Perception-Oriented Video Frame Interpolation via Asymmetric Blending


Perception-R1: Pioneering Perception Policy with Reinforcement Learning


Perception-and-Energy-aware Motion Planning for UAV using Learning-based Model under Heteroscedastic Uncertainty


Perception-based multiplicative noise removal using SDEs


PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts


Perceptions of Diversity in Electronic Music: the Impact of Listener, Artist, and Track Characteristics


Perceptions of Linguistic Uncertainty by Language Models and Humans


Perceptions to Beliefs: Exploring Precursory Inferences for Theory of Mind in Large Language Models


Perceptive Locomotion with Controllable Pace and Natural Gait Transitions Over Uneven Terrains


Perceptive Mixed-Integer Footstep Control for Underactuated Bipedal Walking on Rough Terrain


Perceptive self-supervised learning network for noisy image watermark removal


Perceptogram: Reconstructing Visual Percepts from EEG


Perceptual Adversarial Robustness: Defense Against Unseen Threat Models


Perceptual Artifacts Localization for Inpainting


Perceptual Assessment and Optimization of HDR Image Rendering


Perceptual Attacks of No-Reference Image Quality Models with Human-in-the-Loop


Perceptual Contrast Stretching on Target Feature for Speech Enhancement


Perceptual Conversational Head Generation with Regularized Driver and Enhanced Renderer


Perceptual Evaluation of Adversarial Attacks for CNN-based Image Classification


Perceptual Indistinguishability-Net (PI-Net): Facial Image Obfuscation with Manipulable Semantics


Perceptual Learned Video Compression with Recurrent Conditional GAN


Perceptual Loss for Robust Unsupervised Homography Estimation


Perceptual Musical Features for Interpretable Audio Tagging


Perceptual Noise-Masking with Music through Deep Spectral Envelope Shaping


Perceptual Piercing: Human Visual Cue-based Object Detection in Low Visibility Conditions


Perceptual Quality Assessment for Digital Human Heads


Perceptual Quality Assessment for Embodied AI


Perceptual Quality Assessment of 360$^\circ$ Images Based on Generative Scanpath Representation


Perceptual Quality Assessment of Colored 3D Point Clouds


Perceptual Quality Assessment of Face Video Compression: A Benchmark and An Effective Method


Perceptual Quality Assessment of Octree-RAHT Encoded 3D Point Clouds


Perceptual Quality Assessment of Omnidirectional Audio-visual Signals


Perceptual Quality Assessment of Trisoup-Lifting Encoded 3D Point Clouds


Perceptual Quality Assessment of Virtual Reality Videos in the Wild


Perceptual Quality Improvement in Videoconferencing using Keyframes-based GAN


Perceptual Quality-preserving Black-Box Attack against Deep Learning Image Classifiers


Perceptual Video Coding for Machines via Satisfied Machine Ratio Modeling


Perceptual cGAN for MRI Super-resolution


Perceptual reversals in binocular rivalry: improved detection from OKN


Perceptual-Distortion Balanced Image Super-Resolution is a Multi-Objective Optimization Problem


Perceptually Transparent Binaural Auralization of Simulated Sound Fields


Percival: Making In-Browser Perceptual Ad Blocking Practical With Deep Learning


Percolation in higher order networks via mapping to chygraphs


Percolation thresholds and fractal dimensions for square and cubic lattices with long-range correlated defects


Percolative supercurrent in superconductor-ferromagnetic insulator bilayers


Peregrine: A Pattern-Aware Graph Mining System


Peregrine: Sequential simulation-based inference for gravitational wave signals


Perennial Semantic Data Terms of Use for Decentralized Web


PerfCam: Digital Twinning for Production Lines Using 3D Gaussian Splatting and Vision Models


PerfCodeGen: Improving Performance of LLM Generated Code with Execution Feedback


PerfSeer: An Efficient and Accurate Deep Learning Models Performance Predictor


PerfSim: A Performance Simulator for Cloud Native Microservice Chains


Perfect Alignment May be Poisonous to Graph Contrastive Learning


Perfect Match: A Simple Method for Learning Representations For Counterfactual Inference With Neural Networks


Perfect Spectral Clustering with Discrete Covariates


Perfect codes over non-prime power alphabets: an approach based on Diophantine equations


Perfect simulation from unbiased simulation


Perfect state transfer on gcd-graphs over a finite Frobenius ring, I: general theory and results for local rings


PerfectDou: Dominating DouDizhu with Perfect Information Distillation


Perfecting Periodic Trajectory Tracking: Model Predictive Control with a Periodic Observer ($Π$-MPC)


Perfectly Accurate Membership Inference by a Dishonest Central Server in Federated Learning


Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning


Perfectly Parallel Fairness Certification of Neural Networks


Perfectly Secure Steganography Using Minimum Entropy Coupling


Perfectly parallel cosmological simulations using spatial comoving Lagrangian acceleration


Perfectly predicting ICU length of stay: too good to be true


Perforated Backpropagation: A Neuroscience Inspired Extension to Artificial Neural Networks


Performance Analysis and Deployment Considerations of Post-Quantum Cryptography for Consumer Electronics


Performance Analysis of C-V2X Mode 4 Communication Introducing an Open-Source C-V2X Simulator


Performance Analysis of Decentralized Physical Infrastructure Networks and Centralized Clouds


Performance Analysis of Fixed Broadband Wireless Access in mmWave Band in 5G


Performance Analysis of Indoor mmWave Networks with Ceiling-Mounted Access Points


Performance Analysis of Noise Subspace-based Narrowband Direction-of-Arrival (DOA) Estimation Algorithms on CPU and GPU


Performance Analysis of OpenVPN on a Consumer Grade Router


Performance Analysis of Semi-supervised Learning in the Small-data Regime using VAEs


Performance Analysis of Transformer Based Models (BERT, ALBERT and RoBERTa) in Fake News Detection


Performance Analysis of a Repetition Cat Code Architecture: Computing 256-bit Elliptic Curve Logarithm in 9 Hours with 126133 Cat Qubits


Performance Analysis, Lessons Learned and Practical Advice for a 6G Inter-Provider DApp on the Ethereum Blockchain


Performance Analysis: Discovering Semi-Markov Models From Event Logs


Performance Bounds for LASSO under Multiplicative Noise: Applications to Pooled RT-PCR Testing


Performance Bounds for Near-Field Localization with Widely-Spaced Multi-Subarray mmWave/THz MIMO


Performance Characterization of Canonical Mobility Models in Drone Cellular Networks


Performance Characterization of NVMe Flash Devices with Zoned Namespaces (ZNS)


Performance Comparison of Deep RL Algorithms for Energy Systems Optimal Scheduling


Performance Comparison of Python Translators for a Multi-threaded CPU-bound Application


Performance Comparisons of Reinforcement Learning Algorithms for Sequential Experimental Design


Performance Enhancement of Tree-based Friends-of-friend Galaxy-finder for High-resolution Simulations of Galaxy Formation


Performance Enhancement of the Ozaki Scheme on Integer Matrix Multiplication Unit


Performance Estimation for Smooth and Strongly Convex Sets


Performance Evaluation and Modeling of Cryptographic Libraries for MPI Communications


Performance Evaluation of Channel Decoding With Deep Neural Networks


Performance Evaluation of Deep Transfer Learning on Multiclass Identification of Common Weed Species in Cotton Production Systems


Performance Evaluation of Dynamic Scaling on MPI


Performance Evaluation of IoT LoRa Networks on Mars Through ns-3 Simulations


Performance Evaluation of Low-Cost Machine Vision Cameras for Image-Based Grasp Verification


Performance Evaluation of Mixed-Precision Runge-Kutta Methods


Performance Evaluation of PAC Decoding with Deep Neural Networks


Performance Evaluation of Parallel Sortings on the Supercomputer Fugaku


Performance Evaluation of Real-Time Object Detection for Electric Scooters


Performance Evaluation of Semi-supervised Learning Frameworks for Multi-Class Weed Detection


Performance Evaluation of the Zero-Multipole Summation Method in Modern Molecular Dynamics Software


Performance Gap in Entity Knowledge Extraction Across Modalities in Vision Language Models


Performance Gaps in Multi-view Clustering under the Nested Matrix-Tensor Model


Performance Law of Large Language Models


Performance Measurement of Security Academic Information System using Maturity Level


Performance Metric for Multiple Anomaly Score Distributions with Discrete Severity Levels


Performance Modeling of Data Storage Systems using Generative Models


Performance Modeling of Metric-Based Serverless Computing Platforms


Performance Modeling of Streaming Kernels and Sparse Matrix-Vector Multiplication on A64FX


Performance Prediction Under Dataset Shift


Performance Upper Bound of Grover-Mixer Quantum Alternating Operator Ansatz


Performance analysis of GKP error correction


Performance and Analysis of the Alchemical Transfer Method for Binding Free Energy Predictions of Diverse Ligands


Performance and Power: Systematic Evaluation of AI Workloads on Accelerators with CARAML


Performance and accuracy assessments of an incompressible fluid solver coupled with a deep Convolutional Neural Network


Performance and tolerance study of the rectilinear cooling channel for a muon collider


Performance comparison of Dask and Apache Spark on HPC systems for Neuroimaging


Performance degradation of ImageNet trained models by simple image transformations


Performance evaluation and hyperparameter tuning of statistical and machine-learning models using spatial data


Performance evaluation of deep neural networks for forecasting time-series with multiple structural breaks and high volatility


Performance evaluation of deep segmentation models for Contrails detection


Performance is not enough: the story told by a Rashomon quartet


Performance metrics for the continuous distribution of entanglement in multi-user quantum networks


Performance of Confidential Computing GPUs


Performance of Cross-Validated Targeted Maximum Likelihood Estimation


Performance of GAN-based augmentation for deep learning COVID-19 image classification


Performance of Gaussian Mixture Model Classifiers on Embedded Feature Spaces


Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks


Performance of Julia for High Energy Physics Analyses


Performance of Machine Learning Classifiers for Anomaly Detection in Cyber Security Applications


Performance of OpenBCI EEG Binary Intent Classification with Laryngeal Imagery


Performance of QUIC Implementations Over Geostationary Satellite Links


Performance of Zero-Shot Time Series Foundation Models on Cloud Data


Performance of a cryo-cooled crystal monochromator illuminated by hard X-rays with MHz repetition rate at the European X-ray Free-Electron Laser


Performance of affine-splitting pseudo-spectral methods for fractional complex Ginzburg-Landau equations


Performance of the Quantum Approximate Optimization Algorithm on the Maximum Cut Problem


Performance of the r$^{2}$SCAN functional in transition metal oxides


Performance portable ice-sheet modeling with MALI


Performance vs Programming Effort between Rust and C on Multicore Architectures: Case Study in N-Body


Performance-Aware Self-Configurable Multi-Agent Networks: A Distributed Submodular Approach for Simultaneous Coordination and Network Design


Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speech Recognition


Performance-Portable Numerical Relativity with AthenaK


Performance-aware Approximation of Global Channel Pruning for Multitask CNNs


Performance-bounded Online Ensemble Learning Method Based on Multi-armed bandits and Its Applications in Real-time Safety Assessment


Performant Dynamically Typed E-Graphs in Pure Julia


Performative Prediction in a Stateful World


Performative Prediction on Games and Mechanism Design


Performative Prediction with Bandit Feedback: Learning through Reparameterization


Performative Prediction with Neural Networks


Performing Structured Improvisations with pre-trained Deep Learning Models


Performing all-atom molecular dynamics simulations of intrinsically disordered proteins with replica exchange solute tempering


Performing highly efficient Minima Hopping structure predictions using the Atomic Simulation Environment (ASE)


Performing live time-traversal queries via SPARQL on RDF datasets


Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis


PeriGuru: A Peripheral Robotic Mobile App Operation Assistant based on GUI Image Understanding and Prompting with LLM


Peridynamics for Quasistatic Fracture Modeling


Peridynamics-based discrete element method (PeriDEM) model of granular systems involving breakage of arbitrarily shaped particles


Perils of Zero-Interaction Security in the Internet of Things


Period Adaptation for Continuous Security Monitoring in Multicore Real-Time Systems


Period estimation for sparsely-sampled quasi-periodic light curves applied to Miras


Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model


Periodic Activation Functions Induce Stationarity


Periodic Bandits and Wireless Network Selection


Periodic Coupled-Cluster Green's Function for Photoemission Spectra of Realistic Solids


Periodic Extrapolative Generalisation in Neural Networks


Periodic Graph Transformers for Crystal Material Property Prediction


Periodic I/O scheduling for super-computers


Periodic Intra-Ensemble Knowledge Distillation for Reinforcement Learning


Periodic Materials Generation using Text-Guided Joint Diffusion Model


Periodic Spectral Modulations Arise from Non-random Spacing of Spectral Absorption Lines


Periodic Traveling Waves in an Integro-Difference Equation With Non-Monotonic Growth and Strong Allee Effect


Periodic Variability in Space Photometry of 181 New Supermassive Black Hole Binary Candidates


Periodic Variable Star Classification with Deep Learning: Handling Data Imbalance in an Ensemble Augmentation Way


Periodic feature characterization in nanostructured surfaces and emulsions


Periodic localized traveling waves in the two-dimensional suspension bridge equation


Periodic orbits in Hořava-Lifshitz cosmologies


Periodic trawl processes: Simulation, statistical inference and applications in energy markets


Periodicity significance testing with null-signal templates: reassessment of PTF's SMBH binary candidates


Peripherality in networks: theory and applications


Periphery Plots for Contextualizing Heterogeneous Time-Based Charts


Perirobot space representation for HRI: measuring and designing collaborative workspace coverage by diverse sensors


Perivascular space Identification Nnunet for Generalised Usage (PINGU)


Perla: A Conversational Agent for Depression Screening in Digital Ecosystems. Design, Implementation and Validation


Perm: A Parametric Representation for Multi-Style 3D Hair Modeling


Permanent magnet systems to study the interaction between magnetic nanoparticles and cells in microslide channels


Permutation Equivariance of Transformers and Its Applications


Permutation Equivariant Graph Framelets for Heterophilous Graph Learning


Permutation Inference for Canonical Correlation Analysis


Permutation Invariant Graph Generation via Score-Based Generative Modeling


Permutation Search of Tensor Network Structures via Local Sampling


Permutation invariance and uncertainty in multitemporal image super-resolution


Permutation invariant Gaussian 2-matrix models


Permutation invariant graph-to-sequence model for template-free retrosynthesis and reaction prediction


Permutation invariant networks to learn Wasserstein metrics


Permutation methods for factor analysis and PCA


Permutation-Based SGD: Is Random Optimal?


Permutation-Free High-Order Interaction Tests


Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning


Permutation-based true discovery proportions for functional Magnetic Resonance Imaging cluster analysis


Permutation-equivariant and Proximity-aware Graph Neural Networks with Stochastic Message Passing


Permutationally Invariant Networks for Enhanced Sampling (PINES): Discovery of Multi-Molecular and Solvent-Inclusive Collective Variables


Permutationless Many-Jet Event Reconstruction with Symmetry Preserving Attention Networks


Permutations accelerate Approximate Bayesian Computation


Permutations avoiding bipartite partially ordered patterns have a regular insertion encoding


Permute Me Softly: Learning Soft Permutations for Graph Representations


Permute-and-Flip: An optimally stable and watermarkable decoder for LLMs


PermuteAttack: Counterfactual Explanation of Machine Learning Credit Scorecards


PermuteFormer: Efficient Relative Position Encoding for Long Sequences


Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image Classification


PermutoSDF: Fast Multi-View Reconstruction with Implicit Surfaces using Permutohedral Lattices


Permutohedral Attention Module for Efficient Non-Local Neural Networks


Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents


PersEmoN: A Deep Network for Joint Analysis of Apparent Personality, Emotion and Their Relationship


PersLLM: A Personified Training Approach for Large Language Models


Perseus: Characterizing Performance and Cost of Multi-Tenant Serving for CNN Models


Persformer: A Transformer Architecture for Topological Machine Learning


Persian Emotion Detection using ParsBERT and Imbalanced Data Handling Approaches


Persian Ezafe Recognition Using Transformers and Its Role in Part-Of-Speech Tagging


Persian Keyphrase Generation Using Sequence-to-Sequence Models


Persian Natural Language Inference: A Meta-learning approach


Persian-WSD-Corpus: A Sense Annotated Corpus for Persian All-words Word Sense Disambiguation


Persis: A Persian Font Recognition Pipeline Using Convolutional Neural Networks


Persistence B-Spline Grids: Stable Vector Representation of Persistence Diagrams Based on Data Fitting


Persistence Bag-of-Words for Topological Data Analysis


Persistence Concepts for 2D Skeleton Evolution Analysis


Persistence Curves: A canonical framework for summarizing persistence diagrams


Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams


Persistence Image from 3D Medical Image: Superpixel and Optimized Gaussian Coefficient


Persistence Images: A Stable Vector Representation of Persistent Homology


Persistence in Financial Connectedness and Systemic Risk


Persistence of Backdoor-based Watermarks for Neural Networks: A Comprehensive Evaluation


Persistency of Excitation for Robustness of Neural Networks


Persistent Extension and Analogous Bars: Data-Induced Relations Between Persistence Barcodes


Persistent Homology Captures the Generalization of Neural Networks Without A Validation Set


Persistent Homology Meets Object Unity: Object Recognition in Clutter


Persistent Homology as Stopping-Criterion for Voronoi Interpolation


Persistent Homology for High-dimensional Data Based on Spectral Methods


Persistent Homology for Resource Coverage: A Case Study of Access to Polling Sites


Persistent Homology for Structural Characterization in Disordered Systems


Persistent Homology-induced Graph Ensembles for Time Series Regressions


Persistent Identification Of Instruments


Persistent Mayer homology and persistent Mayer Laplacian


Persistent Memory Programming Abstractions in Context of Concurrent Applications


Persistent Nature: A Generative Model of Unbounded 3D Worlds


Persistent Test-time Adaptation in Recurring Testing Scenarios


Persistent homology analysis of type 2 diabetes genome-wide association studies in protein-protein interaction networks


Persistent interaction topology in data analysis


Persistent pseudopod splitting is an effective chemotaxis strategy in shallow gradients


Persistent topology of the reionization bubble network. II: Evolution & Classification


Persistently Trained, Diffusion-assisted Energy-based Models


Person Image Synthesis via Denoising Diffusion Model


Person Monitoring by Full Body Tracking in Uniform Crowd Environment


Person Re-Identification via Recurrent Feature Aggregation


Person Re-Identification without Identification via Event Anonymization


Person Re-identification in Aerial Imagery


Person Re-identification via Attention Pyramid


Person Re-identification with Correspondence Structure Learning


Person Re-identification: Implicitly Defining the Receptive Fields of Deep Learning Classification Frameworks


Person Recognition using Facial Micro-Expressions with Deep Learning


Person Retrieval in Surveillance Video using Height, Color and Gender


Person Search in Videos with One Portrait Through Visual and Temporal Links


Person Segmentation and Action Classification for Multi-Channel Hemisphere Field of View LiDAR Sensors


Person Text-Image Matching via Text-Feature Interpretability Embedding and External Attack Node Implantation


Person detection and re-identification in open-world settings of retail stores and public spaces


Person-in-WiFi: Fine-grained Person Perception using WiFi


Person-job fit estimation from candidate profile and related recruitment history with co-attention neural networks


PersonViT: Large-scale Self-supervised Vision Transformer for Person Re-Identification


Persona Dynamics: Unveiling the Impact of Personality Traits on Agents in Text-Based Games


Persona Inconstancy in Multi-Agent LLM Collaboration: Conformity, Confabulation, and Impersonation


Persona Knowledge-Aligned Prompt Tuning Method for Online Debate


Persona-Assigned Large Language Models Exhibit Human-Like Motivated Reasoning


Persona-SQ: A Personalized Suggested Question Generation Framework For Real-world Documents


Persona-aware Generative Model for Code-mixed Language


Persona2vec: A Flexible Multi-role Representations Learning Framework for Graphs


PersonaHOI: Effortlessly Improving Personalized Face with Human-Object Interaction Generation


PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits


PersonaLens: A Benchmark for Personalization Evaluation in Conversational AI Assistants


PersonaMagic: Stage-Regulated High-Fidelity Face Customization with Tandem Equilibrium


PersonaRAG: Enhancing Retrieval-Augmented Generation Systems with User-Centric Agents


PersonaTAB: Predicting Personality Traits using Textual, Acoustic, and Behavioral Cues in Fully-Duplex Speech Dialogs


PersonaX: A Recommendation Agent Oriented User Modeling Framework for Long Behavior Sequence


Personal Fixations-Based Object Segmentation with Object Localization and Boundary Preservation


Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security


Personal thermal comfort models using digital twins: Preference prediction with BIM-extracted spatial-temporal proximity data from Build2Vec


PersonalLLM: Tailoring LLMs to Individual Preferences


PersonalSum: A User-Subjective Guided Personalized Summarization Dataset for Large Language Models


Personalisation of d'Hondt's algorithm and its use in recommender ecosystems


Personalisation or Prejudice? Addressing Geographic Bias in Hate Speech Detection using Debias Tuning in Large Language Models


Personalised Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation


Personalised Drug Identifier for Cancer Treatment with Transformers using Auxiliary Information


Personalised Meta-path Generation for Heterogeneous GNNs


Personalised Visual Art Recommendation by Learning Latent Semantic Representations


Personalised aesthetics with residual adapters


Personality Alignment of Large Language Models


Personality Analysis from Online Short Video Platforms with Multi-domain Adaptation


Personality Perception in Human Videos Altered by Motion Transfer Networks


Personality Understanding of Fictional Characters during Book Reading


Personality-Guided Code Generation Using Large Language Models


PersonalityChat: Conversation Distillation for Personalized Dialog Modeling with Facts and Traits


Personalizable Long-Context Symbolic Music Infilling with MIDI-RWKV


Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning


Personalized Abstractive Summarization by Tri-agent Generation Pipeline


Personalized Activity Recognition with Deep Triplet Embeddings


Personalized Algorithmic Recourse with Preference Elicitation


Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation


Personalized Binomial DAGs Learning with Network Structured Covariates


Personalized Chatbot Trustworthiness Ratings


Personalized Clustering via Targeted Representation Learning


Personalized Collaborative Fine-Tuning for On-Device Large Language Models


Personalized Convolutional Dictionary Learning of Physiological Time Series


Personalized Counterfactual Fairness in Recommendation


Personalized Denoising Implicit Feedback for Robust Recommender System


Personalized Dialogue Generation with Persona-Adaptive Attention


Personalized Differential Privacy for Ridge Regression


Personalized Dynamic Difficulty Adjustment -- Imitation Learning Meets Reinforcement Learning


Personalized Dynamic Music Emotion Recognition with Dual-Scale Attention-Based Meta-Learning


Personalized Emotion Detection using IoT and Machine Learning


Personalized Exercise Recommendation with Semantically-Grounded Knowledge Tracing


Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach


Personalized Federated Continual Learning via Multi-granularity Prompt


Personalized Federated Deep Learning for Pain Estimation From Face Images


Personalized Federated Fine-Tuning for LLMs via Data-Driven Heterogeneous Model Architectures


Personalized Federated Learning With Graph


Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity


Personalized Federated Learning on Long-Tailed Data via Adversarial Feature Augmentation


Personalized Federated Learning using Hypernetworks


Personalized Federated Learning via Feature Distribution Adaptation


Personalized Federated Learning via Heterogeneous Modular Networks


Personalized Federated Learning via Stacking


Personalized Federated Learning with Contextual Modulation and Meta-Learning


Personalized Federated Learning with Feature Alignment and Classifier Collaboration


Personalized Federated Learning with First Order Model Optimization


Personalized Federated Learning with Gaussian Processes


Personalized Federated Learning with Mixture of Models for Adaptive Prediction and Model Fine-Tuning


Personalized Federated Learning with Multiple Known Clusters


Personalized Federated Learning with Server-Side Information


Personalized Federated Learning: A Unified Framework and Universal Optimization Techniques


Personalized Filled-pause Generation with Group-wise Prediction Models


Personalized Graph Summarization: Formulation, Scalable Algorithms, and Applications


Personalized Graph-Based Retrieval for Large Language Models


Personalized Heart Disease Detection via ECG Digital Twin Generation


Personalized Image Enhancement Featuring Masked Style Modeling


Personalized Image Generation with Deep Generative Models: A Decade Survey


Personalized Image Generation with Large Multimodal Models


Personalized Image Semantic Segmentation


Personalized Imputation in metric spaces via conformal prediction: Applications in Predicting Diabetes Development with Continuous Glucose Monitoring Information


Personalized Instance-based Navigation Toward User-Specific Objects in Realistic Environments


Personalized LLM Response Generation with Parameterized Memory Injection


Personalized LLM for Generating Customized Responses to the Same Query from Different Users


Personalized Language Model Learning on Text Data Without User Identifiers


Personalized Language Model for Query Auto-Completion


Personalized Language Modeling from Personalized Human Feedback


Personalized Lip Reading: Adapting to Your Unique Lip Movements with Vision and Language


Personalized LoRA for Human-Centered Text Understanding


Personalized Multi-tier Federated Learning


Personalized Multimorbidity Management for Patients with Type 2 Diabetes Using Reinforcement Learning of Electronic Health Records


Personalized Online Federated Learning with Multiple Kernels


Personalized PCA: Decoupling Shared and Unique Features


Personalized PageRank Graph Attention Networks


Personalized Privacy Amplification via Importance Sampling


Personalized Privacy Protection Mask Against Unauthorized Facial Recognition


Personalized Prompt Learning for Explainable Recommendation


Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence Matching


Personalized Ranking on Cascading Behavior Graphs for Accurate Multi-Behavior Recommendation


Personalized Reinforcement Learning with a Budget of Policies


Personalized Representation from Personalized Generation


Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning


Personalized Reward Learning with Interaction-Grounded Learning (IGL)


Personalized Saliency and its Prediction


Personalized Saliency in Task-Oriented Semantic Communications: Image Transmission and Performance Analysis


Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization


Personalized Subgraph Federated Learning


Personalized Text Generation with Fine-Grained Linguistic Control


Personalized Text-to-Image Generation with Auto-Regressive Models


Personalized Topology-Informed Localization of Standard 12-Lead ECG Electrode Placement from Incomplete Cardiac MRIs for Efficient Cardiac Digital Twins


Personalized Trajectory Prediction via Distribution Discrimination


Personalized Transfer of User Preferences for Cross-domain Recommendation


Personalized Transformer for Explainable Recommendation


Personalized Treatment Selection using Causal Heterogeneity


Personalized Video Relighting With an At-Home Light Stage


Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI


Personalized and uncertainty-aware coronary hemodynamics simulations: From Bayesian estimation to improved multi-fidelity uncertainty quantification


Personalized breath based biometric authentication with wearable multimodality


Personalized visual encoding model construction with small data


Personalizing Dialogue Agents via Meta-Learning


Personalizing Federated Instrument Segmentation with Visual Trait Priors in Robotic Surgery


Personalizing Federated Medical Image Segmentation via Local Calibration


Personalizing Large Language Models using Retrieval Augmented Generation and Knowledge Graph


Personalizing Text-to-Image Generation via Aesthetic Gradients


Personas with Attitudes: Controlling LLMs for Diverse Data Annotation


Perspective Aware Road Obstacle Detection


Perspective Fields for Single Image Camera Calibration


Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation


Perspective Phase Angle Model for Polarimetric 3D Reconstruction


Perspective Projection-Based 3D CT Reconstruction from Biplanar X-rays


Perspective of Software Engineering Researchers on Machine Learning Practices Regarding Research, Review, and Education


Perspective on Code Submission and Automated Evaluation Platforms for University Teaching


Perspective on the Marine Simulator for Autonomous Vessel Development


Perspective on traveling wave microwave parametric amplifiers


Perspective+ Unet: Enhancing Segmentation with Bi-Path Fusion and Efficient Non-Local Attention for Superior Receptive Fields


Perspective-Equivariance for Unsupervised Imaging with Camera Geometry


Perspective-Guided Convolution Networks for Crowd Counting


Perspective-Shifted Neuro-Symbolic World Models: A Framework for Socially-Aware Robot Navigation


Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes


Perspective-taking to Reduce Affective Polarization on Social Media


Perspective: A Phase Diagram for Deep Learning unifying Jamming, Feature Learning and Lazy Training


Perspective: Challenges and opportunities for high-quality battery production at scale


Perspectives and solutions towards intelligent ambient assisted living systems


PerspectroScope: A Window to the World of Diverse Perspectives


Persuasiveness of Generated Free-Text Rationales in Subjective Decisions: A Case Study on Pairwise Argument Ranking


PertEval: Unveiling Real Knowledge Capacity of LLMs with Knowledge-Invariant Perturbations


PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis


Perturb and Recover: Fine-tuning for Effective Backdoor Removal from CLIP


Perturb-and-max-product: Sampling and learning in discrete energy-based models


PerturbScore: Connecting Discrete and Continuous Perturbations in NLP


Perturbated Gradients Updating within Unit Space for Deep Learning


Perturbation CheckLists for Evaluating NLG Evaluation Metrics


Perturbation Inactivation Based Adversarial Defense for Face Recognition


Perturbation Towards Easy Samples Improves Targeted Adversarial Transferability


Perturbation approach to ab initio effective mass calculations


Perturbation of Fiedler vector: interest for graph measures and shape analysis


Perturbation on Feature Coalition: Towards Interpretable Deep Neural Networks


Perturbation theory with quantum signal processing


Perturbation-Restrained Sequential Model Editing


Perturbation-based Effect Measures for Compositional Data


Perturbation-based QE: An Explainable, Unsupervised Word-level Quality Estimation Method for Blackbox Machine Translation


Perturbations and Subpopulations for Testing Robustness in Token-Based Argument Unit Recognition


Perturbations in the Wild: Leveraging Human-Written Text Perturbations for Realistic Adversarial Attack and Defense


Perturbative Fourier Ptychographic Microscopy for Fast Quantitative Phase Imaging


Perturbative benchmark models for a dark shower search program


Perturbative construction of mean-field equations in extensive-rank matrix factorization and denoising


Perturbative partial moment matching and gradient-flow adaptive importance sampling transformations for Bayesian leave one out cross-validation


Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERT


Perturbed Traceless SU(2) Character Varieties of Tangle Sums


Perturbed examples reveal invariances shared by language models


Perturbing Attention Gives You More Bang for the Buck: Subtle Imaging Perturbations That Efficiently Fool Customized Diffusion Models


Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing


Perturbing the Gradient for Alleviating Meta Overfitting


Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks


Pervasive Machine Learning for Smart Radio Environments Enabled by Reconfigurable Intelligent Surfaces


Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning


PetKaz at SemEval-2024 Task 3: Advancing Emotion Classification with an LLM for Emotion-Cause Pair Extraction in Conversations


Petal Projections, Knot Colorings and Determinants


PetroFit: A Python Package for Computing Petrosian Radii and Fitting Galaxy Light Profiles


Petrophysically and geologically guided multi-physics inversion using a dynamic Gaussian mixture model


PetsGAN: Rethinking Priors for Single Image Generation


Pfaffian invariant identifies magnetic obstructed atomic insulators


Pfungst and Clever Hans: Identifying the unintended cues in a widely used Alzheimer's disease MRI dataset using explainable deep learning


PhAST: Physics-Aware, Scalable, and Task-specific GNNs for Accelerated Catalyst Design


PhD: A ChatGPT-Prompted Visual hallucination Evaluation Dataset


PhaBOX: A web server for identifying and characterizing phage contigs in metagenomic data


PhaTYP: Predicting the lifestyle for bacteriophages using BERT


PhaVIP: Phage VIrion Protein classification based on chaos game representation and Vision Transformer


PhagoStat a scalable and interpretable end to end framework for efficient quantification of cell phagocytosis in neurodegenerative disease studies


Phalanx: A Practical Byzantine Ordered Consensus Protocol


Phantom -- A RL-driven multi-agent framework to model complex systems


Phantom Sponges: Exploiting Non-Maximum Suppression to Attack Deep Object Detectors


Phantom of Latent for Large Language and Vision Models


PhantomWiki: On-Demand Datasets for Reasoning and Retrieval Evaluation


Phare: A Safety Probe for Large Language Models


PharmacoNet: Accelerating Large-Scale Virtual Screening by Deep Pharmacophore Modeling


Phase Consistent Ecological Domain Adaptation


Phase Diagram of Mixed-Dimensional Anisotropic t-J-Models


Phase Diverse Phase Retrieval for Microscopy: Comparison of Gaussian and Poisson Approaches


Phase Retrieval using Expectation Consistent Signal Recovery Algorithm based on Hypernetwork


Phase Retrieval via Model-Free Power Flow Jacobian Recovery


Phase Separation in Wetting Ridges of Sliding Drops on Soft and Swollen Surfaces


Phase Space Sampling and Inference from Weighted Events with Autoregressive Flows


Phase Space Sketching for Crystal Image Analysis based on Synchrosqueezed Transforms


Phase Transition Behavior of Cardinality and XOR Constraints


Phase Transitions in the Classical Simulability of Open Quantum Systems


Phase Transitions in the Output Distribution of Large Language Models


Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks


Phase equilibrium of liquid water and hexagonal ice from enhanced sampling molecular dynamics simulations


Phase equilibrium of water with hexagonal and cubic ice using the SCAN functional


Phase evolution of strong-field ionization


Phase field approach to optimal packing problems and related Cheeger clusters


Phase field model for viscous inclusions in anisotropic networks


Phase retrieval in high dimensions: Statistical and computational phase transitions


Phase retrieval via non-rigid image registration


Phase tipping: How cyclic ecosystems respond to contemporary climate


Phase transition for the late points of random walk


Phase transition in PCA with missing data: Reduced signal-to-noise ratio, not sample size!


Phase transition in the recoverability of network history


Phase-Amplitude Reduction-Based Imitation Learning


Phase-Field Finite Deformation Fracture with an Effective Energy for Regularized Crack Face Contact


Phase-Field Modeling of Fracture under Compression and Confinement in Anisotropic Geomaterials


Phase-Retrieval with Incomplete Autocorrelations Using Deep Convolutional Autoencoders


Phase-SLAM: Phase Based Simultaneous Localization and Mapping for Mobile Structured Light Illumination Systems


Phase-Space Delaunay Tessellation Field Estimator


Phase-Space Propagator for Partially Coherent Wave Fields in the Spatial Domain


Phase-Stretch Adaptive Gradient-Field Extractor (PAGE)


Phase-aggregated Dual-branch Network for Efficient Fingerprint Dense Registration


Phase-aware Training Schedule Simplifies Learning in Flow-Based Generative Models


Phase-based control of periodic fluid flows


Phase-shifted remote photoplethysmography for estimating heart rate and blood pressure from facial video


Phase2vec: Dynamical systems embedding with a physics-informed convolutional network


PhaseGAN: A deep-learning phase-retrieval approach for unpaired datasets


PhaseGen: A Diffusion-Based Approach for Complex-Valued MRI Data Generation


Phased Instruction Fine-Tuning for Large Language Models


Phaseformer: Phase-based Attention Mechanism for Underwater Image Restoration and Beyond


Phases Calibration of RIS Using Backpropagation Algorithm


Phasic Content Fusing Diffusion Model with Directional Distribution Consistency for Few-Shot Model Adaption


Phason-mediated interlayer exciton diffusion in WS2/WSe2 moiré heterostructure


PhayaThaiBERT: Enhancing a Pretrained Thai Language Model with Unassimilated Loanwords


PheMT: A Phenomenon-wise Dataset for Machine Translation Robustness on User-Generated Contents


Pheme: Efficient and Conversational Speech Generation


PhenDiff: Revealing Subtle Phenotypes with Diffusion Models in Real Images


Pheno-Mapper: An Interactive Toolbox for the Visual Exploration of Phenomics Data


PhenoAssistant: A Conversational Multi-Agent AI System for Automated Plant Phenotyping


PhenoBench -- A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain


Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement


Phenomenological Aspects of TeV Scale Alternative Left-Right Model


Phenomenological classification of the Zwicky Transient Facility astronomical event alerts


Phenomenological modelling of the Crab Nebula's broad band energy spectrum and its apparent extension


Phenomenology and origin of late-time tails in eccentric binary black hole mergers


Phenomenology at the Large Hadron Collider with Deep Learning: the case of vector-like quarks decaying to light jets


Phenomenology of decaying turbulence beneath surface waves


Phenotype control and elimination of variables in Boolean networks


Phenotype-preserving metric design for high-content image reconstruction by generative inpainting


Phenotype-structuring of non-local kinetic models of cell migration driven by environmental sensing


Phenotypic heterogeneity in temporally fluctuating environments


Phenotyping with Positive Unlabelled Learning for Genome-Wide Association Studies


PhiNet v2: A Mask-Free Brain-Inspired Vision Foundation Model from Video


PhilEO Bench: Evaluating Geo-Spatial Foundation Models


PhiloBERTA: A Transformer-Based Cross-Lingual Analysis of Greek and Latin Lexicons


PhishReplicant: A Language Model-based Approach to Detect Generated Squatting Domain Names


Phishing Awareness via Game-Based Learning


Phishing Detection Using Machine Learning Techniques


Phishing URL Detection: A Network-based Approach Robust to Evasion


Pho(SC)-CTC -- A Hybrid Approach Towards Zero-shot Word Image Recognition


PhoBERT: Pre-trained language models for Vietnamese


PhoMT: A High-Quality and Large-Scale Benchmark Dataset for Vietnamese-English Machine Translation


PhoNLP: A joint multi-task learning model for Vietnamese part-of-speech tagging, named entity recognition and dependency parsing


PhoTOS: Topology Optimization of Photonic Components using a Shape Library


PhoTorch: A robust and generalized biochemical photosynthesis model fitting package based on PyTorch


PhoWhisper: Automatic Speech Recognition for Vietnamese


Phoebe: QoS-Aware Distributed Stream Processing through Anticipating Dynamic Workloads


Phoebus: Performance Portable GRRMHD for Relativistic Astrophysics


Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction


Phoenix: Democratizing ChatGPT across Languages


Phone Features Improve Speech Translation


Phone-to-audio alignment without text: A Semi-supervised Approach


PhoneLM:an Efficient and Capable Small Language Model Family through Principled Pre-training


Phoneme Hallucinator: One-shot Voice Conversion via Set Expansion


Phoneme Segmentation Using Self-Supervised Speech Models


Phoneme-BERT: Joint Language Modelling of Phoneme Sequence and ASR Transcript


Phonemer at WNUT-2020 Task 2: Sequence Classification Using COVID Twitter BERT and Bagging Ensemble Technique based on Plurality Voting


Phonetic Feedback for Speech Enhancement With and Without Parallel Speech Data


Phonetic Posteriorgrams based Many-to-Many Singing Voice Conversion via Adversarial Training


Phonetic Reconstruction of the Consonant System of Middle Chinese via Mixed Integer Optimization


Phonetic Segmentation of the UCLA Phonetics Lab Archive


Phonetic and Visual Priors for Decipherment of Informal Romanization


Phonetically-Oriented Word Error Alignment for Speech Recognition Error Analysis in Speech Translation


Phonological Features for 0-shot Multilingual Speech Synthesis


Phonon anharmonicity, lifetimes and thermal transport in CH$_3$NH$_3$PbI$_3$ from many-body perturbation theory


Phonon-induced breakdown of Thouless pumping in the Rice-Mele-Holstein model


Phonons of metallic hydrogen with quantum Monte Carlo


Phonotactic Complexity and its Trade-offs


Photo-Realistic Facial Details Synthesis from Single Image


Photo-Realistic Monocular Gaze Redirection Using Generative Adversarial Networks


Photo-SLAM: Real-time Simultaneous Localization and Photorealistic Mapping for Monocular, Stereo, and RGB-D Cameras


Photo-activated dynamic isomerization induced large density changes in liquid crystal polymers: A molecular dynamics study


Photo-to-Shape Material Transfer for Diverse Structures


Photo-z outlier self-calibration in weak lensing surveys


Photo-z-SQL: integrated, flexible photometric redshift computation in a database


PhotoDoodle: Learning Artistic Image Editing from Few-Shot Pairwise Data


PhotoHolmes: a Python library for forgery detection in digital images


PhotoMaker: Customizing Realistic Human Photos via Stacked ID Embedding


PhotoRedshift-MML: a multimodal machine learning method for estimating photometric redshifts of quasars


PhotoScene: Photorealistic Material and Lighting Transfer for Indoor Scenes


PhotoWCT$^2$: Compact Autoencoder for Photorealistic Style Transfer Resulting from Blockwise Training and Skip Connections of High-Frequency Residuals


Photoacoustic Reconstruction Using Sparsity in Curvelet Frame: Image versus Data Domain


Photochemical Runaway in Exoplanet Atmospheres: Implications for Biosignatures


Photochemistry of Anoxic Abiotic Habitable Planet Atmospheres: Impact of New H$_2$O Cross-Sections


Photodetachment and Test-Particle Simulation Constraints on Negative Ions in Solar System Plasmas


Photographic Text-to-Image Synthesis with a Hierarchically-nested Adversarial Network


Photographic Visualization of Weather Forecasts with Generative Adversarial Networks


Photometric LiDAR and RGB-D Bundle Adjustment


Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction


Photometric Redshifts from SDSS Images with an Interpretable Deep Capsule Network


Photometric Redshifts with Copula Entropy


Photometric Selection of type 1 Quasars in the XMM-LSS Field with Machine Learning and the Disk-Corona Connection


Photometric [Fe/H] of RRab stars in the $G$ and $K_s$ bands by deep learning


Photometric calibration in u-band using blue halo stars


Photometric follow-up of 43 new eclipsing white dwarf plus main-sequence binaries from the ZTF survey


Photometric identification of compact galaxies, stars and quasars using multiple neural networks


Photometric redshift-aided classification using ensemble learning


Photometric redshifts from SDSS images using a Convolutional Neural Network


Photometrically-corrected global infrared mosaics of Enceladus: New implications for its spectral diversity and geological activity


Photometry on Structured Backgrounds: Local Pixelwise Infilling by Regression


Photon Limited Non-Blind Deblurring Using Algorithm Unrolling


Photon Reconstruction in the Belle II Calorimeter Using Graph Neural Networks


Photon emission correlation spectroscopy as an analytical tool for quantum defects


Photon-Limited Blind Deconvolution using Unsupervised Iterative Kernel Estimation


Photon-counting CT thermometry via material decomposition and machine learning


Photon-mediated interactions near a Dirac photonic crystal slab


Photonic Reconfigurable Accelerators for Efficient Inference of CNNs with Mixed-Sized Tensors


Photonic Structures Optimization Using Highly Data-Efficient Deep Learning: Application To Nanofin And Annular Groove Phase Masks


Photonic interface between subcarrier wave and dual rail encodings


Photonic quantum generative adversarial networks for classical data


Photonic quantum metrology with variational quantum optical non-linearities


Photonic resource state generation from a minimal number of quantum emitters


Photons guided by axons may enable backpropagation-based learning in the brain


Photoreal Scene Reconstruction from an Egocentric Device


Photorealistic and Identity-Preserving Image-Based Emotion Manipulation with Latent Diffusion Models


Photorealistic modelling of metals from first principles


Photospheric Prompt Emission From Long Gamma Ray Burst Simulations -- II. Spectropolarimetry


Photospheric Prompt Emission From Long Gamma Ray Burst Simulations -- III. X-ray Spectropolarimetry


Phrase Decoupling Cross-Modal Hierarchical Matching and Progressive Position Correction for Visual Grounding


Phrase Grounding by Soft-Label Chain Conditional Random Field


Phrase Localization Without Paired Training Examples


Phrase Localization and Visual Relationship Detection with Comprehensive Image-Language Cues


Phrase Retrieval for Open-Domain Conversational Question Answering with Conversational Dependency Modeling via Contrastive Learning


Phrase-BERT: Improved Phrase Embeddings from BERT with an Application to Corpus Exploration


Phrase-Indexed Question Answering: A New Challenge for Scalable Document Comprehension


Phrase-level Textual Adversarial Attack with Label Preservation


PhraseCut: Language-based Image Segmentation in the Wild


Phy-Q as a measure for physical reasoning intelligence


PhyCOM: A Multi-Layer Parametric Network for Joint Linear Impairments Compensation and Symbol Detection


PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain


PhyLiNO -- A Forward-Folding Likelihood-Fit Framework for Neutrino Oscillation Physics


PhyPlan: Compositional and Adaptive Physical Task Reasoning with Physics-Informed Skill Networks for Robot Manipulators


PhyT2V: LLM-Guided Iterative Self-Refinement for Physics-Grounded Text-to-Video Generation


Phylo.io: interactive viewing and comparison of large phylogenetic trees on the web


Phylo2Vec: a vector representation for binary trees


PhyloGFN: Phylogenetic inference with generative flow networks


PhyloProfile v2 -- Exploring multi-layered phylogenetic profiles at scale


PhyloVAE: Unsupervised Learning of Phylogenetic Trees via Variational Autoencoders


Phylogenetic degrees for Jukes-Cantor model


Phylogenetic reconstruction of the cultural evolution of electronic music via dynamic community detection (1975-1999)


Phylogenetic tree distance computation over succinct representations


Phylogenetically informed Bayesian truncated copula graphical models for microbial association networks


Phylogeny-based tumor subclone identification using a Bayesian feature allocation model


Phylotrack: C++ and Python libraries for in silico phylogenetic tracking


PhysAug: A Physical-guided and Frequency-based Data Augmentation for Single-Domain Generalized Object Detection


PhysFad: Physics-Based End-to-End Channel Modeling of RIS-Parametrized Environments with Adjustable Fading


PhysFormer: Facial Video-based Physiological Measurement with Temporal Difference Transformer


PhysGNN: A Physics-Driven Graph Neural Network Based Model for Predicting Soft Tissue Deformation in Image-Guided Neurosurgery


PhysGaia: A Physics-Aware Dataset of Multi-Body Interactions for Dynamic Novel View Synthesis


PhysGen: Rigid-Body Physics-Grounded Image-to-Video Generation


PhysMamba: Efficient Remote Physiological Measurement with SlowFast Temporal Difference Mamba


PhysNLU: A Language Resource for Evaluating Natural Language Understanding and Explanation Coherence in Physics


PhysORD: A Neuro-Symbolic Approach for Physics-infused Motion Prediction in Off-road Driving


PhysRFANet: Physics-Guided Neural Network for Real-Time Prediction of Thermal Effect During Radiofrequency Ablation Treatment


PhysVLM: Enabling Visual Language Models to Understand Robotic Physical Reachability


PhysX: Physical-Grounded 3D Asset Generation


Physical Accuracy of Deep Neural Networks for 2D and 3D Multi-Mineral Segmentation of Rock micro-CT Images


Physical Adversarial Attack meets Computer Vision: A Decade Survey


Physical Adversarial Attacks Against End-to-End Autoencoder Communication Systems


Physical Adversarial Attacks on an Aerial Imagery Object Detector


Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches


Physical Backdoor Attack can Jeopardize Driving with Vision-Large-Language Models


Physical Interaction: Reconstructing Hand-object Interactions with Physics


Physical Neural Cellular Automata for 2D Shape Classification


Physical Oscillator Model for Supercomputing


Physical Passive Patch Adversarial Attacks on Visual Odometry Systems


Physical Plausibility-aware Trajectory Prediction via Locomotion Embodiment


Physical Priors Augmented Event-Based 3D Reconstruction


Physical Problems Admitting Heun-to-Hypergeometric Reduction


Physical Properties of Type II Supernovae Inferred from ZTF and ATLAS Photometric Data


Physical Reasoning Using Dynamics-Aware Models


Physical Reasoning and Object Planning for Household Embodied Agents


Physical Systems Modeled Without Physical Laws


Physical black holes in fourth-order gravity


Physical epistatic landscape of antibody binding affinity


Physical invariance in neural networks for subgrid-scale scalar flux modeling


Physical model of serum supplemented medium flow in organ-on-a-chip systems


Physical networks as network-of-networks


Physical simulation of Marsupial UAV-UGV Systems Connected by a Variable-Length Hanging Tether


Physical spline for denoising object trajectory data by combining splines, ML feature regression and model knowledge


Physically Consistent Global Atmospheric Data Assimilation with Machine Learning in a Latent Space


Physically Consistent Neural Networks for building thermal modeling: theory and analysis


Physically Embedded Planning Problems: New Challenges for Reinforcement Learning


Physically Explainable CNN for SAR Image Classification


Physically Feasible Semantic Segmentation


Physically Guided Deep Unsupervised Inversion for 1D Magnetotelluric Models


Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling


Physically motivated fit to mass surface density profiles observed in galaxies


Physically-Feasible Repair of Reactive, Linear Temporal Logic-based, High-Level Tasks


Physically-Inspired Gaussian Process Models for Post-Transcriptional Regulation in Drosophila


Physically-based Path Tracer using WebGPU and OpenPBR


Physically-informed data-driven modeling of active nematics


Physician Detection of Clinical Harm in Machine Translation: Quality Estimation Aids in Reliance and Backtranslation Identifies Critical Errors


Physics Driven Deep Retinex Fusion for Adaptive Infrared and Visible Image Fusion


Physics Encoded Blocks in Residual Neural Network Architectures for Digital Twin Models


Physics Event Classification Using Large Language Models


Physics Guided Deep Learning for Generative Design of Crystal Materials with Symmetry Constraints


Physics Informed Constrained Learning of Dynamics from Static Data


Physics Informed Convex Artificial Neural Networks (PICANNs) for Optimal Transport based Density Estimation


Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development


Physics Informed Deep Learning for Strain Gradient Continuum Plasticity


Physics Informed Distillation for Diffusion Models


Physics Informed Neural Network for Option Pricing


Physics Informed Neural Networks for Control Oriented Thermal Modeling of Buildings


Physics Informed Token Transformer for Solving Partial Differential Equations


Physics Informed and Data Driven Simulation of Underwater Images via Residual Learning


Physics Inspired Criterion for Pruning-Quantization Joint Learning


Physics Inspired Hybrid Attention for SAR Target Recognition


Physics Reasoner: Knowledge-Augmented Reasoning for Solving Physics Problems with Large Language Models


Physics and Chemistry from Parsimonious Representations: Image Analysis via Invariant Variational Autoencoders


Physics enhanced neural networks predict order and chaos


Physics guided dual Self-supervised learning for structure-based materials property prediction


Physics informed cell representations for variational formulation of multiscale problems


Physics informed data-driven near-wall modelling for lattice Boltzmann simulation of high Reynolds number turbulent flows


Physics informed deep learning for computational elastodynamics without labeled data


Physics informed machine learning with Smoothed Particle Hydrodynamics: Hierarchy of reduced Lagrangian models of turbulence


Physics makes the difference: Bayesian optimization and active learning via augmented Gaussian process


Physics of Eclipsing Binaries. V. General Framework for Solving the Inverse Problem


Physics potential for the H$\rightarrow$ZZ$^{*}$ decay at the CEPC


Physics-Assisted and Topology-Informed Deep Learning for Weather Prediction


Physics-Aware Combinatorial Assembly Sequence Planning using Data-free Action Masking


Physics-Aware Compilation for Parallel Quantum Circuit Execution on Neutral Atom Arrays


Physics-Aware Downsampling with Deep Learning for Scalable Flood Modeling


Physics-Aware Motion Simulation for T2*-Weighted Brain MRI


Physics-Aware POD-Based Learning for Ab initio QEM-Galerkin Simulations of Periodic Nanostructures


Physics-Aware Robotic Palletization with Online Masking Inference


Physics-Based Adversarial Attack on Near-Infrared Human Detector for Nighttime Surveillance Camera Systems


Physics-Conditioned Diffusion Models for Lattice Gauge Theory


Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data


Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data


Physics-Constrained Learning for PDE Systems with Uncertainty Quantified Port-Hamiltonian Models


Physics-Constrained Neural Network for Design and Feature-Based Optimization of Weave Architectures


Physics-Constrained Predictive Molecular Latent Space Discovery with Graph Scattering Variational Autoencoder


Physics-Driven Autoregressive State Space Models for Medical Image Reconstruction


Physics-Driven Learning of Wasserstein GAN for Density Reconstruction in Dynamic Tomography


Physics-Driven Spectrum-Consistent Federated Learning for Palmprint Verification


Physics-Driven Turbulence Image Restoration with Stochastic Refinement


Physics-Embedded Neural Networks: Graph Neural PDE Solvers with Mixed Boundary Conditions


Physics-Enhanced Graph Neural Networks For Soft Sensing in Industrial Internet of Things


Physics-Free Spectrally Multiplexed Photometric Stereo under Unknown Spectral Composition


Physics-Grounded Differentiable Simulation for Soft Growing Robots


Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modeling


Physics-Guided Detector for SAR Airplanes


Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations


Physics-Guided Foundation Model for Scientific Discovery: An Application to Aquatic Science


Physics-Guided Generative Adversarial Networks for Sea Subsurface Temperature Prediction


Physics-Guided Human Motion Capture with Pose Probability Modeling


Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting


Physics-Guided Reinforcement Learning System for Realistic Vehicle Active Suspension Control


Physics-Incorporated Convolutional Recurrent Neural Networks for Source Identification and Forecasting of Dynamical Systems


Physics-Informed Bayesian Optimization of Variational Quantum Circuits


Physics-Informed Boundary Integral Networks (PIBI-Nets): A Data-Driven Approach for Solving Partial Differential Equations


Physics-Informed Calibration of Aeromagnetic Compensation in Magnetic Navigation Systems using Liquid Time-Constant Networks


Physics-Informed Convolutional Neural Networks for Corruption Removal on Dynamical Systems


Physics-Informed Convolutional Transformer for Predicting Volatility Surface


Physics-Informed Deep Learning Characterizes Morphodynamics of Asian Soybean Rust Disease


Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices


Physics-Informed Deep Learning for Motion-Corrected Reconstruction of Quantitative Brain MRI


Physics-Informed Deep Learning for Nonlinear Friction Model of Bow-string Interaction


Physics-Informed Deep Learning for Solving Phonon Boltzmann Transport Equation with Large Temperature Non-Equilibrium


Physics-Informed Deep Neural Network Method for Limited Observability State Estimation


Physics-Informed Ensemble Representation for Light-Field Image Super-Resolution


Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers


Physics-Informed Graph Neural Networks for Water Distribution Systems


Physics-Informed Heterogeneous Graph Neural Networks for DC Blocker Placement


Physics-Informed Inference Time Scaling via Simulation-Calibrated Scientific Machine Learning


Physics-Informed Latent Diffusion for Multimodal Brain MRI Synthesis


Physics-Informed Learning for the Friction Modeling of High-Ratio Harmonic Drives


Physics-Informed Learning of Characteristic Trajectories for Smoke Reconstruction


Physics-Informed Machine Learning Method for Large-Scale Data Assimilation Problems


Physics-Informed Machine Learning Simulator for Wildfire Propagation


Physics-Informed Machine Learning for Modeling Turbulence in Supernovae


Physics-Informed Model and Hybrid Planning for Efficient Dyna-Style Reinforcement Learning


Physics-Informed Model-Based Reinforcement Learning


Physics-Informed Multi-LSTM Networks for Metamodeling of Nonlinear Structures


Physics-Informed Neural Network for Multirotor Slung Load Systems Modeling


Physics-Informed Neural Networks for Minimising Worst-Case Violations in DC Optimal Power Flow


Physics-Informed Neural Networks for Multiphysics Data Assimilation with Application to Subsurface Transport


Physics-Informed Neural Networks for Prognostics and Health Management of Lithium-Ion Batteries


Physics-Informed Neural Networks for Shell Structures


Physics-Informed Neural Networks for Solving Forward and Inverse PDEs with Limited and Noisy Data: Application to Solar Corona Modeling


Physics-Informed Neural Networks for Solving the Two-Dimensional Shallow Water Equations with Terrain Topography and Rainfall Source Terms


Physics-Informed Neural Networks with Hard Linear Equality Constraints


Physics-Informed Neural Networks: a Plug and Play Integration into Power System Dynamic Simulations


Physics-Informed Priors with Application to Boundary Layer Velocity


Physics-Informed Probabilistic Learning of Linear Embeddings of Non-linear Dynamics With Guaranteed Stability


Physics-Informed Statistical Modeling for Wildfire Aerosols Process Using Multi-Source Geostationary Satellite Remote-Sensing Data Streams


Physics-Informed Sylvester Normalizing Flows for Bayesian Inference in Magnetic Resonance Spectroscopy


Physics-Informed Tensor Basis Neural Network for Turbulence Closure Modeling


Physics-Inspired Distributed Radio Map Estimation


Physics-Inspired Temporal Learning of Quadrotor Dynamics for Accurate Model Predictive Trajectory Tracking


Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization


Physics-Regulated Deep Reinforcement Learning: Invariant Embeddings


Physics-aware generative models for turbulent fluid flows through energy-consistent stochastic interpolants


Physics-based Model for Nonuniform Thermionic Electron Emission from Polycrystalline Cathodes


Physics-based Reconstruction Methods for Magnetic Resonance Imaging


Physics-based deep learning reveals rising heating demand heightens air pollution in Norwegian cities


Physics-based machine learning for mantle convection simulations


Physics-based model to predict the acoustic detection distance of terrestrial autonomous recording units over the diel cycle and across seasons: insights from an Alpine and a Neotropical forest


Physics-based neural network for non-invasive control of coherent light in scattering media


Physics-based reward driven image analysis in microscopy


Physics-based super-resolved simulation of 3D elastic wave propagation adopting scalable Diffusion Transformer


Physics-based vs. data-driven 24-hour probabilistic forecasts of precipitation for northern tropical Africa


Physics-constrained convolutional neural networks for inverse problems in spatiotemporal partial differential equations


Physics-constrained coupled neural differential equations for one dimensional blood flow modeling


Physics-constrained deep learning postprocessing of temperature and humidity


Physics-constrained, low-dimensional models for MHD: First-principles and data-driven approaches


Physics-driven Fire Modeling from Multi-view Images


Physics-driven machine learning models coupling PyTorch and Firedrake


Physics-enhanced Neural Networks in the Small Data Regime


Physics-enhanced machine learning for virtual fluorescence microscopy


Physics-enhanced neural networks for equation-of-state calculations


Physics-guided Active Sample Reweighting for Urban Flow Prediction


Physics-guided Convolutional Neural Network (PhyCNN) for Data-driven Seismic Response Modeling


Physics-guided Deep Markov Models for Learning Nonlinear Dynamical Systems with Uncertainty


Physics-guided Design and Learning of Neural Networks for Predicting Drag Force on Particle Suspensions in Moving Fluids


Physics-guided Noise Neural Proxy for Practical Low-light Raw Image Denoising


Physics-guided Shape-from-Template: Monocular Video Perception through Neural Surrogate Models


Physics-guided and fabrication-aware inverse design of photonic devices using diffusion models


Physics-informed Convolutional Neural Networks for Temperature Field Prediction of Heat Source Layout without Labeled Data


Physics-informed Convolutional Recurrent Surrogate Model for Reservoir Simulation with Well Controls


Physics-informed Deep Super-resolution for Spatiotemporal Data


Physics-informed DeepCT: Sinogram Wavelet Decomposition Meets Masked Diffusion


Physics-informed Discretization-independent Deep Compositional Operator Network


Physics-informed Gaussian Processes for Safe Envelope Expansion


Physics-informed Guided Disentanglement in Generative Networks


Physics-informed Neural Mapping and Motion Planning in Unknown Environments


Physics-informed Neural Model Predictive Control of Interacting Active Brownian Particles


Physics-informed Neural Network Combined with Characteristic-Based Split for Solving Navier-Stokes Equations


Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees


Physics-informed Neural Networks with Unknown Measurement Noise


Physics-informed PointNet: On how many irregular geometries can it solve an inverse problem simultaneously? Application to linear elasticity


Physics-informed RL for Maximal Safety Probability Estimation


Physics-informed Score-based Diffusion Model for Limited-angle Reconstruction of Cardiac Computed Tomography


Physics-informed Spline Learning for Nonlinear Dynamics Discovery


Physics-informed Temporal Alignment for Auto-regressive PDE Foundation Models


Physics-informed Temporal Difference Metric Learning for Robot Motion Planning


Physics-informed appliance signatures generator for energy disaggregation


Physics-informed deep learning and compressive collocation for high-dimensional diffusion-reaction equations: practical existence theory and numerics


Physics-informed deep learning for incompressible laminar flows


Physics-informed dynamic mode decomposition (piDMD)


Physics-informed generative model for drug-like molecule conformers


Physics-informed generative real-time lens-free imaging


Physics-informed learning of governing equations from scarce data


Physics-informed machine learning as a kernel method


Physics-informed machine learning with differentiable programming for heterogeneous underground reservoir pressure management


Physics-informed neural networks for PDE-constrained optimization and control


Physics-informed neural networks for blood flow inverse problems


Physics-informed neural networks for myocardial perfusion MRI quantification


Physics-informed neural networks for one-dimensional sound field predictions with parameterized sources and impedance boundaries


Physics-informed neural networks for solving functional renormalization group on a lattice


Physics-informed neural networks for the shallow-water equations on the sphere


Physics-informed neural networks for transformed geometries and manifolds


Physics-informed neural networks incorporating energy dissipation for the phase-field model of ferroelectric microstructure evolution


Physics-informed neural networks to learn cardiac fiber orientation from multiple electroanatomical maps


Physics-informed neural networks via stochastic Hamiltonian dynamics learning


Physics-informed nonlinear vector autoregressive models for the prediction of dynamical systems


Physics-informed reinforcement learning for sample-efficient optimization of freeform nanophotonic devices


Physics-inspired Neural Networks for Parameter Learning of Adaptive Cruise Control Systems


Physics-inspired adaptions to low-parameter neural network weather forecasts systems


Physics-inspired analysis of the two-class income distribution in the USA in 1983-2018


Physics-inspired architecture for neural network modeling of forces and torques in particle-laden flows


Physics-inspired spatiotemporal-graph AI ensemble for the detection of higher order wave mode signals of spinning binary black hole mergers


Physics-tailored machine learning reveals unexpected physics in dusty plasmas


PhysicsNeRF: Physics-Guided 3D Reconstruction from Sparse Views


PhysicsSolver: Transformer-Enhanced Physics-Informed Neural Networks for Forward and Forecasting Problems in Partial Differential Equations


PhysioMTL: Personalizing Physiological Patterns using Optimal Transport Multi-Task Regression


PhysioSync: Temporal and Cross-Modal Contrastive Learning Inspired by Physiological Synchronization for EEG-Based Emotion Recognition


Physiological neural representation for personalised tracer kinetic parameter estimation from dynamic PET


PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in Clustering


PiCO: Peer Review in LLMs based on the Consistency Optimization


PiClick: Picking the desired mask from multiple candidates in click-based interactive segmentation


PiFlow: Principle-aware Scientific Discovery with Multi-Agent Collaboration


PiFold: Toward effective and efficient protein inverse folding


PiLaMIM: Toward Richer Visual Representations by Integrating Pixel and Latent Masked Image Modeling


PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object Detection


PiP: Planning-informed Trajectory Prediction for Autonomous Driving


PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis


PiRank: Scalable Learning To Rank via Differentiable Sorting


PiRhDy: Learning Pitch-, Rhythm-, and Dynamics-aware Embeddings for Symbolic Music


PiTe: Pixel-Temporal Alignment for Large Video-Language Model


PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs


PialNN: A Fast Deep Learning Framework for Cortical Pial Surface Reconstruction


Pianist Identification Using Convolutional Neural Networks


PianoBART: Symbolic Piano Music Generation and Understanding with Large-Scale Pre-Training


PianoMotion10M: Dataset and Benchmark for Hand Motion Generation in Piano Performance


Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval


PicT: A Slim Weakly Supervised Vision Transformer for Pavement Distress Classification


Picard understanding Darmok: A Dataset and Model for Metaphor-Rich Translation in a Constructed Language


Picasso: A Modular Framework for Visualizing the Learning Process of Neural Network Image Classifiers


Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python


Piccolo2: General Text Embedding with Multi-task Hybrid Loss Training


Pick a Fight or Bite your Tongue: Investigation of Gender Differences in Idiomatic Language Usage


Pick and Place Without Geometric Object Models


Pick of the Bunch: Detecting Infrared Small Targets Beyond Hit-Miss Trade-Offs via Selective Rank-Aware Attention


Pick the Best Pre-trained Model: Towards Transferability Estimation for Medical Image Segmentation


Pick up the PACE: Fast and Simple Domain Adaptation via Ensemble Pseudo-Labeling


Pick your Neighbor: Local Gauss-Southwell Rule for Fast Asynchronous Decentralized Optimization


Pick-Object-Attack: Type-Specific Adversarial Attack for Object Detection


Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation


Pick-and-place Manipulation Across Grippers Without Retraining: A Learning-optimization Diffusion Policy Approach


Pick-or-Mix: Dynamic Channel Sampling for ConvNets


PickScan: Object discovery and reconstruction from handheld interactions


Picking BERT's Brain: Probing for Linguistic Dependencies in Contextualized Embeddings Using Representational Similarity Analysis


Picking Up Quantization Steps for Compressed Image Classification


Picking Winning Tickets Before Training by Preserving Gradient Flow


Picking the Cream of the Crop: Visual-Centric Data Selection with Collaborative Agents


PicoAudio: Enabling Precise Timestamp and Frequency Controllability of Audio Events in Text-to-audio Generation


PicoPose: Progressive Pixel-to-Pixel Correspondence Learning for Novel Object Pose Estimation


Picturized and Recited with Dialects: A Multimodal Chinese Representation Framework for Sentiment Analysis of Classical Chinese Poetry


PieAPP: Perceptual Image-Error Assessment through Pairwise Preference


Piecewise Constant Spectral Graph Neural Network


Piecewise Deterministic Markov Processes for Scalable Monte Carlo on Restricted Domains


Piecewise Polynomial Tensor Network Quantum Feature Encoding


Piecewise deterministic sampling with splitting schemes


Piecewise linear approximations of the standard normal first order loss function


Piecewise linear interpolation of noise in finite element approximations of parabolic SPDEs


Piecewise-Stationary Multi-Objective Multi-Armed Bandit with Application to Joint Communications and Sensing


Piecewise-linear Ricci curvature flows on weighted graphs


Piecewise-linear modeling of multivariate geometric extremes


Piercing the Veil of TVL: DeFi Reappraised


Pigeons.jl: Distributed Sampling From Intractable Distributions


Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights


PiiGAN: Generative Adversarial Networks for Pluralistic Image Inpainting


Pik-Fix: Restoring and Colorizing Old Photos


Pileup and Infrared Radiation Annihilation (PIRANHA): A Paradigm for Continuous Jet Grooming


Pillar-based Object Detection for Autonomous Driving


PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds


PillarTrack:Boosting Pillar Representation for Transformer-based 3D Single Object Tracking on Point Clouds


Pillars of Grammatical Error Correction: Comprehensive Inspection Of Contemporary Approaches In The Era of Large Language Models


Pilot study for the COST Action "Reassembling the Republic of Letters": language-driven network analysis of letters from the Hartlib's Papers


PilotANN: Memory-Bounded GPU Acceleration for Vector Search


Piloting Diversity and Inclusion Workshops in Artificial Intelligence and Robotics for Children


Pin the Memory: Learning to Generalize Semantic Segmentation


Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction


Pinching-Antenna Systems (PASS): Power Radiation Model and Optimal Beamforming Design


Pineline: Industrialization of High-Energy Theory Predictions


Pink: Unveiling the Power of Referential Comprehension for Multi-modal LLMs


PinnDE: Physics-Informed Neural Networks for Solving Differential Equations


Pinpointing Anomaly Events in Logs from Stability Testing -- N-Grams vs. Deep-Learning


Pinpointing Delay and Forwarding Anomalies Using Large-Scale Traceroute Measurements


Pinpointing Why Object Recognition Performance Degrades Across Income Levels and Geographies


Pinwheel-shaped Convolution and Scale-based Dynamic Loss for Infrared Small Target Detection


Pinyin Regularization in Error Correction for Chinese Speech Recognition with Large Language Models


Pioneering Reliable Assessment in Text-to-Image Knowledge Editing: Leveraging a Fine-Grained Dataset and an Innovative Criterion


Pioplat: A Scalable, Low-Cost Framework for Latency Reduction in Ethereum Blockchain


PiouCrypt: Decentralized Lattice-based Method for Visual Symmetric Cryptography


Pipe-BD: Pipelined Parallel Blockwise Distillation


PipeFisher: Efficient Training of Large Language Models Using Pipelining and Fisher Information Matrices


PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication


PipeNet: Question Answering with Semantic Pruning over Knowledge Graphs


PipeNet: Selective Modal Pipeline of Fusion Network for Multi-Modal Face Anti-Spoofing


PipeOptim: Ensuring Effective 1F1B Schedule with Optimizer-Dependent Weight Prediction


PipeTransformer: Automated Elastic Pipelining for Distributed Training of Transformers


Pipeline and Dataset Generation for Automated Fact-checking in Almost Any Language


Pipeline for recording datasets and running neural networks on the Bela embedded hardware platform


PipelineProfiler: A Visual Analytics Tool for the Exploration of AutoML Pipelines


Pipelined, Flexible Krylov Subspace Methods


Pipette: Automatic Fine-grained Large Language Model Training Configurator for Real-World Clusters


Pippi - painless parsing, post-processing and plotting of posterior and likelihood samples


Piquasso: A Photonic Quantum Computer Simulation Software Platform


Pirates: Anonymous Group Calls Over Fully Untrusted Infrastructure


PirouNet: Creating Dance through Artist-Centric Deep Learning


Pishgu: Universal Path Prediction Network Architecture for Real-time Cyber-physical Edge Systems


Pit30M: A Benchmark for Global Localization in the Age of Self-Driving Cars


PitVQA++: Vector Matrix-Low-Rank Adaptation for Open-Ended Visual Question Answering in Pituitary Surgery


PitVQA: Image-grounded Text Embedding LLM for Visual Question Answering in Pituitary Surgery


Pitfalls in Language Models for Code Intelligence: A Taxonomy and Survey


Pitfalls of Climate Network Construction: A Statistical Perspective


Pitfalls of amateur regression: The Dutch New Herring controversies


Pittsburgh Learning Classifier Systems for Explainable Reinforcement Learning: Comparing with XCS


Pivotal Tuning for Latent-based Editing of Real Images


Pix2Cap-COCO: Advancing Visual Comprehension via Pixel-Level Captioning


Pix2Code: Learning to Compose Neural Visual Concepts as Programs


Pix2Gif: Motion-Guided Diffusion for GIF Generation


Pix2Next: Leveraging Vision Foundation Models for RGB to NIR Image Translation


Pix2Pix-based Stain-to-Stain Translation: A Solution for Robust Stain Normalization in Histopathology Images Analysis


Pix2Prof: fast extraction of sequential information from galaxy imagery via a deep natural language 'captioning' model


Pix2Shape: Towards Unsupervised Learning of 3D Scenes from Images using a View-based Representation


Pix2Video: Video Editing using Image Diffusion


Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud Understanding


PixFoundation: Are We Heading in the Right Direction with Pixel-level Vision Foundation Models?


PixIT: Joint Training of Speaker Diarization and Speech Separation from Real-world Multi-speaker Recordings


PixInWav: Residual Steganography for Hiding Pixels in Audio


PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards


PixLens: A Novel Framework for Disentangled Evaluation in Diffusion-Based Image Editing with Object Detection + SAM


PixMIM: Rethinking Pixel Reconstruction in Masked Image Modeling


PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency Training


PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures


PixOOD: Pixel-Level Out-of-Distribution Detection


PixT3: Pixel-based Table-To-Text Generation


PixTrack: Precise 6DoF Object Pose Tracking using NeRF Templates and Feature-metric Alignment


PixWizard: Versatile Image-to-Image Visual Assistant with Open-Language Instructions


Pixel Adapter: A Graph-Based Post-Processing Approach for Scene Text Image Super-Resolution


Pixel Adaptive Deep Unfolding Transformer for Hyperspectral Image Reconstruction


Pixel Difference Networks for Efficient Edge Detection


Pixel Distillation: A New Knowledge Distillation Scheme for Low-Resolution Image Recognition


Pixel VQ-VAEs for Improved Pixel Art Representation


Pixel domain implementation of the Minimally Informed CMB MAp foreground Cleaning method


Pixel is a Barrier: Diffusion Models Are More Adversarially Robust Than We Think


Pixel to Binary Embedding Towards Robustness for CNNs


Pixel-Accurate Depth Evaluation in Realistic Driving Scenarios


Pixel-Adaptive Convolutional Neural Networks


Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized Stylization


Pixel-Level Alignment of Facial Images for High Accuracy Recognition Using Ensemble of Patches


Pixel-Level Bijective Matching for Video Object Segmentation


Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation


Pixel-Level Explanation of Multiple Instance Learning Models in Biomedical Single Cell Images


Pixel-Level Face Image Quality Assessment for Explainable Face Recognition


Pixel-Level Reasoning Segmentation via Multi-turn Conversations


Pixel-Level Self-Paced Learning for Super-Resolution


Pixel-Pair Occlusion Relationship Map(P2ORM): Formulation, Inference & Application


Pixel-Perfect Structure-from-Motion with Featuremetric Refinement


Pixel-Wise Color Constancy via Smoothness Techniques in Multi-Illuminant Scenes


Pixel-by-Pixel Cross-Domain Alignment for Few-Shot Semantic Segmentation


Pixel-level Extrinsic Self Calibration of High Resolution LiDAR and Camera in Targetless Environments


Pixel-level and Semantic-level Adjustable Super-resolution: A Dual-LoRA Approach


Pixel-wise Agricultural Image Time Series Classification: Comparisons and a Deformable Prototype-based Approach


Pixel-wise Anomaly Detection in Complex Driving Scenes


Pixel-wise Attentional Gating for Parsimonious Pixel Labeling


Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes


Pixel-wise Guidance for Utilizing Auxiliary Features in Monte Carlo Denoising


Pixel-wise Regression: 3D Hand Pose Estimation via Spatial-form Representation and Differentiable Decoder


Pixel-wise classification in graphene-detection with tree-based machine learning algorithms


PixelBrax: Learning Continuous Control from Pixels End-to-End on the GPU


PixelCAM: Pixel Class Activation Mapping for Histology Image Classification and ROI Localization


PixelDINO: Semi-Supervised Semantic Segmentation for Detecting Permafrost Disturbances


PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples


PixelFlow: Pixel-Space Generative Models with Flow


PixelFolder: An Efficient Progressive Pixel Synthesis Network for Image Generation


PixelGaussian: Generalizable 3D Gaussian Reconstruction from Arbitrary Views


PixelPyramids: Exact Inference Models from Lossless Image Pyramids


PixelSNE: Visualizing Fast with Just Enough Precision via Pixel-Aligned Stochastic Neighbor Embedding


PixelSynth: Generating a 3D-Consistent Experience from a Single Image


Pixelated Butterfly: Simple and Efficient Sparse training for Neural Network Models


Pixelated Reconstruction of Gravitational Lenses using Recurrent Inference Machines


Pixelwise Instance Segmentation with a Dynamically Instantiated Network


PixleepFlow: A Pixel-Based Lifelog Framework for Predicting Sleep Quality and Stress Level


Pixology: Probing the Linguistic and Visual Capabilities of Pixel-based Language Models


PizzaCommonSense: Learning to Model Commonsense Reasoning about Intermediate Steps in Cooking Recipes


PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) Planning


Place Recognition in Forests with Urquhart Tessellations


Place Recognition under Occlusion and Changing Appearance via Disentangled Representations


Place Recognition: A Comprehensive Review, Current Challenges and Future Directions


PlaceIT: Placement-based Inter-Chiplet Interconnect Topologies


Placement and Implementation of Grid-Forming and Grid-Following Virtual Inertia and Fast Frequency Response


Placement is not Enough: Embedding with Proactive Stream Mapping on the Heterogenous Edge


Placenta Segmentation in Ultrasound Imaging: Addressing Sources of Uncertainty and Limited Field-of-View


Placental Vessel Segmentation and Registration in Fetoscopy: Literature Review and MICCAI FetReg2021 Challenge Findings


PlacidDreamer: Advancing Harmony in Text-to-3D Generation


Placing (Historical) Facts on a Timeline: A Classification cum Coref Resolution Approach


Placing M-Phasis on the Plurality of Hate: A Feature-Based Corpus of Hate Online


Placing Objects in Context via Inpainting for Out-of-distribution Segmentation


Placing the spotted T Tauri star LkCa 4 on an HR diagram


Plain English Summarization of Contracts


Plain-Det: A Plain Multi-Dataset Object Detector


PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition


PlainQAFact: Automatic Factuality Evaluation Metric for Biomedical Plain Language Summaries Generation


Plan To Predict: Learning an Uncertainty-Foreseeing Model for Model-Based Reinforcement Learning


Plan, Verify and Switch: Integrated Reasoning with Diverse X-of-Thoughts


Plan, Write, and Revise: an Interactive System for Open-Domain Story Generation


Plan-Then-Execute: An Empirical Study of User Trust and Team Performance When Using LLM Agents As A Daily Assistant


Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models


Plan-over-Graph: Towards Parallelable LLM Agent Schedule


Plan-then-Generate: Controlled Data-to-Text Generation via Planning


Plan-then-Seam: Towards Efficient Table-to-Text Generation


Plan2Scene: Converting Floorplans to 3D Scenes


PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer


PlanE: Representation Learning over Planar Graphs


PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals


PlanGlow: Personalized Study Planning with an Explainable and Controllable LLM-Driven System


PlanLLM: Video Procedure Planning with Refinable Large Language Models


PlanRAG: A Plan-then-Retrieval Augmented Generation for Generative Large Language Models as Decision Makers


PlanScope: Learning to Plan Within Decision Scope Does Matter


PlanSys2: A Planning System Framework for ROS2


PlanT: Explainable Planning Transformers via Object-Level Representations


Planar 3D Transfer Learning for End to End Unimodal MRI Unbalanced Data Segmentation


Planar Fault-Tolerant Quantum Computation with Low Overhead


Planar Friction Modelling with LuGre Dynamics and Limit Surfaces


Planar Object Tracking via Weighted Optical Flow


Planar Prior Assisted PatchMatch Multi-View Stereo


Planar Surface Reconstruction from Sparse Views


Planar potential flow on Cartesian grids


PlanarRecon: Real-time 3D Plane Detection and Reconstruction from Posed Monocular Videos


Planckian Jitter: countering the color-crippling effects of color jitter on self-supervised training


Plancraft: an evaluation dataset for planning with LLM agents


Plane-wave compounding with adaptive joint coherence factor weighting


Plane2Depth: Hierarchical Adaptive Plane Guidance for Monocular Depth Estimation


PlaneDepth: Self-supervised Depth Estimation via Orthogonal Planes


PlaneFormers: From Sparse View Planes to 3D Reconstruction


PlaneMVS: 3D Plane Reconstruction from Multi-View Stereo


PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image


PlaneRecNet: Multi-Task Learning with Cross-Task Consistency for Piece-Wise Plane Detection and Reconstruction from a Single RGB Image


PlaneRecTR++: Unified Query Learning for Joint 3D Planar Reconstruction and Pose Estimation


PlaneSLAM: Plane-based LiDAR SLAM for Motion Planning in Structured 3D Environments


Planet Hunters NGTS: New Planet Candidates from a Citizen Science Search of the Next Generation Transit Survey Public Data


Planet cartography with neural learned regularization


Planetarium: A Rigorous Benchmark for Translating Text to Structured Planning Languages


Planetary Candidates Observed by Kepler. VIII. A Fully Automated Catalog With Measured Completeness and Reliability Based on Data Release 25


Planetary climate under extremely high vertical diffusivity


Planetary system LHS 1140 revisited with ESPRESSO and TESS


Planetesimal Impact Vapor Plumes and Nebular Shocks form Chondritic Mixtures


Planets similar in size are often dissimilar in interior


Planing It by Ear: Convolutional Neural Networks for Acoustic Anomaly Detection in Industrial Wood Planers


PlankAssembly: Robust 3D Reconstruction from Three Orthographic Views with Learnt Shape Programs


Plannable Approximations to MDP Homomorphisms: Equivariance under Actions


Planning Assembly Sequence with Graph Transformer


Planning Beyond the Sensing Horizon Using a Learned Context


Planning Domain Model Acquisition from State Traces without Action Parameters


Planning Like Human: A Dual-process Framework for Dialogue Planning


Planning Multiple Epidemic Interventions with Reinforcement Learning


Planning Not to Talk: Multiagent Systems that are Robust to Communication Loss


Planning Paths through Occlusions in Urban Environments


Planning Safety Trajectories with Dual-Phase, Physics-Informed, and Transportation Knowledge-Driven Large Language Models


Planning Using Schrödinger Bridge Diffusion Models


Planning Visual Inspection Tours for a 3D Dubins Airplane Model in an Urban Environment


Planning a Return to Normal after the COVID-19 Pandemic: Identifying Safe Contact Levels via Online Optimization


Planning and Editing What You Retrieve for Enhanced Tool Learning


Planning and Execution using Inaccurate Models with Provable Guarantees


Planning and Learning Using Adaptive Entropy Tree Search


Planning as In-Painting: A Diffusion-Based Embodied Task Planning Framework for Environments under Uncertainty


Planning as Inference in Epidemiological Models


Planning for Attacker Entrapment in Adversarial Settings


Planning for Dexterous Ungrasping: Secure Ungrasping through Dexterous Manipulation


Planning for Gold: Sample Splitting for Valid Powerful Design of Observational Studies


Planning for Sample Efficient Imitation Learning


Planning for robotic exploration based on forward simulation


Planning from Images with Deep Latent Gaussian Process Dynamics


Planning from Pixels in Atari with Learned Symbolic Representations


Planning in Dynamic Environments with Conditional Autoregressive Models


Planning in a recurrent neural network that plays Sokoban


Planning the path with Reinforcement Learning: Optimal Robot Motion Planning in RoboCup Small Size League Environments


Planning to Fairly Allocate: Probabilistic Fairness in the Restless Bandit Setting


Planning to Learn: A Novel Algorithm for Active Learning during Model-Based Planning


Planning under Uncertainty to Goal Distributions


Planning with Biological Neurons and Synapses


Planning with Diffusion for Flexible Behavior Synthesis


Planning with Incomplete Information in Quantified Answer Set Programming


Planning with Linear Temporal Logic Specifications: Handling Quantifiable and Unquantifiable Uncertainty


Planning with Multi-Constraints via Collaborative Language Agents


Planning with State Abstractions for Non-Markovian Task Specifications


Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios


Planning, Inference and Pragmatics in Sequential Language Games


Planning-Driven Programming: A Large Language Model Programming Workflow


Plant Bioelectric Early Warning Systems: A Five-Year Investigation into Human-Plant Electromagnetic Communication


Plant Disease Detection Using Image Processing and Machine Learning


Plant Disease Recognition Datasets in the Age of Deep Learning: Challenges and Opportunities


Plant-Capture Methods for Estimating Population Size from Uncertain Plant Captures


PlantPal: Leveraging Precision Agriculture Robots to Facilitate Remote Engagement in Urban Gardening


PlantSeg: A Large-Scale In-the-wild Dataset for Plant Disease Segmentation


PlantStereo: A Stereo Matching Benchmark for Plant Surface Dense Reconstruction


Planted Dense Subgraphs in Dense Random Graphs Can Be Recovered using Graph-based Machine Learning


Planting and Mitigating Memorized Content in Predictive-Text Language Models


Plaskett 1.8 metre Observations of Starlink Satellites


PlasmoData.jl -- A Julia Framework for Modeling and Analyzing Complex Data as Graphs


PlasmoFAB: A Benchmark to Foster Machine Learning for Plasmodium falciparum Protein Antigen Candidate Prediction


Plasmon confinement in fractal quantum systems


Plastic Arbor: a modern simulation framework for synaptic plasticity $\unicode{x2013}$ from single synapses to networks of morphological neurons


PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics


Plasticity and evolvability under environmental variability: the joint role of fitness-based selection and niche-limited competition


Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning


PlatMetaX: An Integrated MATLAB platform for Meta-Black-Box Optimization


Platypose: Calibrated Zero-Shot Multi-Hypothesis 3D Human Motion Estimation


Plausibility Processing in Transformer Language Models: Focusing on the Role of Attention Heads in GPT


Plausible Extractive Rationalization through Semi-Supervised Entailment Signal


Plausible May Not Be Faithful: Probing Object Hallucination in Vision-Language Pre-training


Plausible-Parrots @ MSP2023: Enhancing Semantic Plausibility Modeling using Entity and Event Knowledge


Plausibly Problematic Questions in Multiple-Choice Benchmarks for Commonsense Reasoning


Play Fair: Frame Attributions in Video Models


Play It Back: Iterative Attention for Audio Recognition


Play as You Like: Timbre-enhanced Multi-modal Music Style Transfer


Play like a Vertex: A Stackelberg Game Approach for Streaming Graph Partitioning


Play to Generalize: Learning to Reason Through Game Play


Play to Grade: Testing Coding Games as Classifying Markov Decision Process


PlayBest: Professional Basketball Player Behavior Synthesis via Planning with Diffusion