Papers
11,951 papers found
PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems
Bocheng Zeng, Qi Wang, Mengtao Yan et al.
PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding
Wei Chow, Jiageng Mao, Boyi Li et al.
Physics-aligned field reconstruction with diffusion bridge
Zeyu Li, Hongkun Dou, Shen Fang et al.
Physics-Informed Deep Inverse Operator Networks for Solving PDE Inverse Problems
Sung Woong Cho, Hwijae Son
Physics-Informed Diffusion Models
Jan-Hendrik Bastek, WaiChing Sun, Dennis Kochmann
Physics-informed Temporal Difference Metric Learning for Robot Motion Planning
Ruiqi Ni, zherong pan, Ahmed H Qureshi
Physics of Language Models: Part 2.1, Grade-School Math and the Hidden Reasoning Process
Tian Ye, Zicheng Xu, Yuanzhi Li et al.
Physics of Language Models: Part 2.2, How to Learn From Mistakes on Grade-School Math Problems
Tian Ye, Zicheng Xu, Yuanzhi Li et al.
Physics of Language Models: Part 3.2, Knowledge Manipulation
Zeyuan Allen-Zhu, Yuanzhi Li
Physics of Language Models: Part 3.3, Knowledge Capacity Scaling Laws
Zeyuan Allen-Zhu, Yuanzhi Li
Physiome-ODE: A Benchmark for Irregularly Sampled Multivariate Time-Series Forecasting Based on Biological ODEs
Christian Klötergens, Vijaya Krishna Yalavarthi, Randolf Scholz et al.
PhysPDE: Rethinking PDE Discovery and a Physical Hypothesis Selection Benchmark
Mingquan Feng, Yixin Huang, Yizhou Liu et al.
PianoMotion10M: Dataset and Benchmark for Hand Motion Generation in Piano Performance
Qijun Gan, Song Wang, Shengtao Wu et al.
PICASO: Permutation-Invariant Context Composition with State Space Models
Tian Yu Liu, Alessandro Achille, Matthew Trager et al.
PiCO: Peer Review in LLMs based on Consistency Optimization
Kun-Peng Ning, Shuo Yang, Yuyang Liu et al.
PIED: Physics-Informed Experimental Design for Inverse Problems
Apivich Hemachandra, Gregory Kang Ruey Lau, See-Kiong Ng et al.
PIG: Physics-Informed Gaussians as Adaptive Parametric Mesh Representations
Namgyu Kang, Jaemin Oh, Youngjoon Hong et al.
PINP: Physics-Informed Neural Predictor with latent estimation of fluid flows
Huaguan Chen, Yang Liu, Hao Sun
PIN: Prolate Spheroidal Wave Function-based Implicit Neural Representations
Dhananjaya Jayasundara, Heng Zhao, Demetrio Labate et al.
PIORF: Physics-Informed Ollivier-Ricci Flow for Long–Range Interactions in Mesh Graph Neural Networks
Youn-Yeol Yu, Jeongwhan Choi, Jaehyeon Park et al.
PivotMesh: Generic 3D Mesh Generation via Pivot Vertices Guidance
Haohan Weng, Yikai Wang, Tong Zhang et al.
PixWizard: Versatile Image-to-Image Visual Assistant with Open-Language Instructions
Weifeng Lin, Xinyu Wei, Renrui Zhang et al.
Planning Anything with Rigor: General-Purpose Zero-Shot Planning with LLM-based Formalized Programming
Yilun Hao, Yang Zhang, Chuchu Fan
Planning in Natural Language Improves LLM Search for Code Generation
Evan Z Wang, Federico Cassano, Catherine Wu et al.
Plastic Learning with Deep Fourier Features
Alex Lewandowski, Dale Schuurmans, Marlos C. Machado