Summary of Wasserstein Distances, Neuronal Entanglement, and Sparsity, by Shashata Sawmya et al.
Wasserstein Distances, Neuronal Entanglement, and Sparsityby Shashata Sawmya, Linghao Kong, Ilia Markov, Dan Alistarh, Nir…
Wasserstein Distances, Neuronal Entanglement, and Sparsityby Shashata Sawmya, Linghao Kong, Ilia Markov, Dan Alistarh, Nir…
Improved Particle Approximation Error for Mean Field Neural Networksby Atsushi NitandaFirst submitted to arxiv on:…
Reinforcing Language Agents via Policy Optimization with Action Decompositionby Muning Wen, Ziyu Wan, Weinan Zhang,…
Efficient Mitigation of Bus Bunching through Setter-Based Curriculum Learningby Avidan Shah, Danny Tran, Yuhan TangFirst…
Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networksby Felix Dangel, Johannes Müller, Marius ZeinhoferFirst submitted to…
Fast-PGM: Fast Probabilistic Graphical Model Learning and Inferenceby Jiantong Jiang, Zeyi Wen, Peiyu Yang, Atif…
Consistency of Neural Causal Partial Identificationby Jiyuan Tan, Jose Blanchet, Vasilis SyrgkanisFirst submitted to arxiv…
The Road Less Scheduledby Aaron Defazio, Xingyu Alice Yang, Harsh Mehta, Konstantin Mishchenko, Ahmed Khaled,…
Sliced Wasserstein with Random-Path Projecting Directionsby Khai Nguyen, Shujian Zhang, Tam Le, Nhat HoFirst submitted…
Toward the Identifiability of Comparative Deep Generative Modelsby Romain Lopez, Jan-Christian Huetter, Ehsan Hajiramezanali, Jonathan…