Deterministic and statistical calibration of constitutive models from full-field data with parametric physics-informed neural networksby…
Dataset Growthby Ziheng Qin, Zhaopan Xu, Yukun Zhou, Zangwei Zheng, Zebang Cheng, Hao Tang, Lei…
Deriving Causal Order from Single-Variable Interventions: Guarantees & Algorithmby Mathieu Chevalley, Patrick Schwab, Arash MehrjouFirst…
2BP: 2-Stage Backpropagationby Christopher Rae, Joseph K. L. Lee, James RichingsFirst submitted to arxiv on:…
HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement Learningby Shengchao Hu, Ziqing Fan, Li Shen,…
Guidance and Control Networks with Periodic Activation Functionsby Sebastien Origer, Dario IzzoFirst submitted to arxiv…
Is machine learning good or bad for the natural sciences?by David W. Hogg, Soledad VillarFirst…
A Pontryagin Perspective on Reinforcement Learningby Onno Eberhard, Claire Vernade, Michael MuehlebachFirst submitted to arxiv…
Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforcement Learningby Xinran Li, Zifan Liu, Shibo…
Graph Coarsening with Message-Passing Guaranteesby Antonin Joly, Nicolas KerivenFirst submitted to arxiv on: 28 May…