Summary of Latent Neural Operator Pretraining For Solving Time-dependent Pdes, by Tian Wang and Chuang Wang
Latent Neural Operator Pretraining for Solving Time-Dependent PDEsby Tian Wang, Chuang WangFirst submitted to arxiv…
Latent Neural Operator Pretraining for Solving Time-Dependent PDEsby Tian Wang, Chuang WangFirst submitted to arxiv…
FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preferenceby Zihan Tan, Guancheng Wan, Wenke…
Emergence of Globally Attracting Fixed Points in Deep Neural Networks With Nonlinear Activationsby Amir Joudaki,…
Provably Adaptive Average Reward Reinforcement Learning for Metric Spacesby Avik Kar, Rahul SinghFirst submitted to…
Reinforcement Learning for Aligning Large Language Models Agents with Interactive Environments: Quantifying and Mitigating Prompt…
Disentangling Genotype and Environment Specific Latent Features for Improved Trait Prediction using a Compositional Autoencoderby…
Language Agents Meet Causality – Bridging LLMs and Causal World Modelsby John Gkountouras, Matthias Lindemann,…
Prediction of Final Phosphorus Content of Steel in a Scrap-Based Electric Arc Furnace Using Artificial…
Provable optimal transport with transformers: The essence of depth and prompt engineeringby Hadi DaneshmandFirst submitted…
Enhancing Safety in Reinforcement Learning with Human Feedback via Rectified Policy Optimizationby Xiyue Peng, Hengquan…