Diffusion models for Gaussian distributions: Exact solutions and Wasserstein errorsby Emile Pierret, Bruno GalerneFirst submitted…
Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecastingby Qingxiang Liu, Xu Liu, Chenghao…
Deep Learning Methods for Adjusting Global MFD Speed Estimations to Local Link Configurationsby Zhixiong Jin,…
High-dimensional Learning with Noisy Labelsby Aymane El Firdoussi, Mohamed El Amine SeddikFirst submitted to arxiv…
Exclusively Penalized Q-learning for Offline Reinforcement Learningby Junghyuk Yeom, Yonghyeon Jo, Jungmo Kim, Sanghyeon Lee,…
Improved Canonicalization for Model Agnostic Equivarianceby Siba Smarak Panigrahi, Arnab Kumar MondalFirst submitted to arxiv…
Actively Learning Combinatorial Optimization Using a Membership Oracleby Rosario Messana, Rui Chen, Andrea LodiFirst submitted…
Newton Informed Neural Operator for Computing Multiple Solutions of Nonlinear Partials Differential Equationsby Wenrui Hao,…
Automatic Differentiation is Essential in Training Neural Networks for Solving Differential Equationsby Chuqi Chen, Yahong…
Enhancing Image Layout Control with Loss-Guided Diffusion Modelsby Zakaria Patel, Kirill SerkhFirst submitted to arxiv…