Papers
Perturbing Best Responses in Zero-Sum Games
Adam Dziwoki, Rostislav Horcik
Perturbing to Preserve: Defending Fragile Knowledge in Online Continual Learning
Dulan Zhou, Zijian Gao, Kele Xu
Perturb Your Data: Paraphrase-Guided Training Data Watermarking
Pranav Shetty, Mirazul Haque, Petr Babkin et al.
PET2Rep: Towards Vision-Language Model-Drived Automated Radiology Report Generation for Positron Emission Tomography
Yichi Zhang, Wenbo Zhang, Zehui Ling et al.
PFAvatar: Pose-Fusion 3D Personalized Avatar Reconstruction from Real-World Outfit-of-the-Day Photos
Dianbing Xi, Guoyuan An, Jingsen Zhu et al.
PGMamba: A Physical Model-Guided Global Mamba for Underwater Image Enhancement
Zijun Tan, Chuan Fu, Tan Guo et al.
Phantom Menace: Exploring and Enhancing the Robustness of VLA Models Against Physical Sensor Attacks
Xuancun Lu, Jiaxiang Chen, Shilin Xiao et al.
PharmaQA: Prompt-Based Molecular Representation Learning via Pharmacophore-Oriented Question Answering
Chengwei Ai, Qiaozhen Meng, Mengwei Sun et al.
Phased One-Step Adversarial Equilibrium for Video Diffusion Models
Jiaxiang Cheng, Bing Ma, Xuhua Ren et al.
PHOTONS: Pose-Free Human-Centric Photo-Realistic Real-Time Novel View Synthesis from Sparse Views
Yongyang Cheng, Boqin Qin, Zhao Hui et al.
PHPFND: Detecting Fake News via Post-Hoc Processing of LLMs Hallucination
Jinke Ma, Jiachen Ma, Wei Zhang et al.
PhyPlan: Learning to Plan Tasks with Generalizable and Rapid Physical Reasoning for Embodied Manipulation
Ankit Kanwar, Hartej Soin, Abhinav Barnawal et al.
Physically-Based LiDAR Smoke Simulation for Robust 3D Object Detection
Shijun Zheng, Yu Guo, Weiquan Liu et al.
Physically-Informed Flow Matching with Graph Neural Networks for Complex Fluid Dynamics
Xiaozhuang Song, Tianshu Yu
Physical-regularized Hierarchical Generative Model for Metallic Glass Structural Generation and Energy Prediction
Qiyuan Chen, Ajay Annamareddy, Ying-Fei Li et al.
Physics-Aware Accelerated Unrolling Model for Sparse-View CT Reconstruction
Shaojie Guo, Yingying Fang, Junkang Zhang et al.
PhysicsCorrect: A Training-Free Approach for Stable Neural PDE Simulations
Xinquan Huang, Paris Perdikaris
Physics-Informed Approach for Exploratory Hamilton–Jacobi–Bellman Equations via Policy Iterations
Yeongjong Kim, Namkyeong Cho, Minseok Kim et al.
Physics-Informed Autonomous LLM Agents for Explainable Power Electronics Modulation Design
Junhua Liu, Fanfan Lin, Xinze Li et al.
Physics-Informed Deformable Gaussian Splatting: Towards Unified Constitutive Laws for Time-Evolving Material Field
Haoqin Hong, Ding Fan, Fubin Dou et al.
Physics-Informed Koopman Neural Estimation of the Heston Model from High-Frequency Observations
Qiuming Zhu, Haoran Kou, Linyi Qian et al.
Physics-Informed Multi-Task Learning for Battery State of Health Prediction with Uncertainty Quantification
Tianwen Zhu, Guangyu Wu, Zhiwei Cao et al.
Phys-Liquid: A Physics-Informed Dataset for Estimating 3D Geometry and Volume of Transparent Deformable Liquids
Ke Ma, Yizhou Fang, Jean-Baptiste Weibel et al.
PhysPatch: A Physically Realizable and Transferable Adversarial Patch Attack for Multimodal Large Language Models-based Autonomous Driving Systems
Qi Guo, Xiaojun Jia, Shanmin Pang et al.