Papers
Permutation Equivariant Neural Functionals
Allan Zhou, Kaien Yang, Kaylee Burns et al.
Personalized Dictionary Learning for Heterogeneous Datasets
Geyu Liang, Naichen Shi, Raed AL Kontar et al.
Persuading Farsighted Receivers in MDPs: the Power of Honesty
Martino Bernasconi, Matteo Castiglioni, Alberto Marchesi et al.
Perturbation Towards Easy Samples Improves Targeted Adversarial Transferability
Junqi Gao, Biqing Qi, Yao Li et al.
PETAL: Physics Emulation Through Averaged Linearizations for Solving Inverse Problems
Jihui Jin, Etienne Ollivier, Richard Touret et al.
P-Flow: A Fast and Data-Efficient Zero-Shot TTS through Speech Prompting
Sungwon Kim, Kevin Shih, rohan badlani et al.
PGDiff: Guiding Diffusion Models for Versatile Face Restoration via Partial Guidance
Peiqing Yang, Shangchen Zhou, Qingyi Tao et al.
Pgx: Hardware-Accelerated Parallel Game Simulators for Reinforcement Learning
Sotetsu Koyamada, Shinri Okano, Soichiro Nishimori et al.
Phase diagram of early training dynamics in deep neural networks: effect of the learning rate, depth, and width
Dayal Singh Kalra, Maissam Barkeshli
PHOTOSWAP: Personalized Subject Swapping in Images
Jing Gu, Yilin Wang, Nanxuan Zhao et al.
Physics-Driven ML-Based Modelling for Correcting Inverse Estimation
ruiyuan kang, Tingting Mu, Panagiotis Liatsis et al.
Physics-Informed Bayesian Optimization of Variational Quantum Circuits
Kim Nicoli, Christopher J. Anders, Lena Funcke et al.
Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties
Hsiao-Yu Tung, Mingyu Ding, Zhenfang Chen et al.
Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation
Yuval Kirstain, Adam Polyak, Uriel Singer et al.
PICProp: Physics-Informed Confidence Propagation for Uncertainty Quantification
Qianli Shen, Wai Hoh Tang, Zhun Deng et al.
PID-Inspired Inductive Biases for Deep Reinforcement Learning in Partially Observable Control Tasks
Ian Char, Jeff G. Schneider
Pitfall of Optimism: Distributional Reinforcement Learning by Randomizing Risk Criterion
Taehyun Cho, Seungyub Han, Heesoo Lee et al.
PIXIU: A Comprehensive Benchmark, Instruction Dataset and Large Language Model for Finance
Qianqian Xie, Weiguang Han, Xiao Zhang et al.
PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change
Karthik Valmeekam, Matthew Marquez, Alberto Olmo et al.
PlanE: Representation Learning over Planar Graphs
Radoslav Dimitrov, Zeyang Zhao, Ralph Abboud et al.
PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model
Yizhe Zhang, Jiatao Gu, Zhuofeng Wu et al.
PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning
Hojoon Lee, Hanseul Cho, HYUNSEUNG KIM et al.
Plug-and-Play Stability for Intracortical Brain-Computer Interfaces: A One-Year Demonstration of Seamless Brain-to-Text Communication
Chaofei Fan, Nick Hahn, Foram Kamdar et al.
PoET: A generative model of protein families as sequences-of-sequences
Timothy Truong Jr, Tristan Bepler
Point Cloud Completion with Pretrained Text-to-Image Diffusion Models
Yoni Kasten, Ohad Rahamim, Gal Chechik