Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflectionby Wen-Chao Hu, Wang-Zhou Dai, Yuan Jiang,…
Dense Depth from Event Focal Stackby Kenta Horikawa, Mariko Isogawa, Hideo Saito, Shohei MoriFirst submitted…
GLL: A Differentiable Graph Learning Layer for Neural Networksby Jason Brown, Bohan Chen, Harris Hardiman-Mostow,…
Tazza: Shuffling Neural Network Parameters for Secure and Private Federated Learningby Kichang Lee, Jaeho Jin,…
ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learningby Hongshu Guo, Zeyuan Ma, Jiacheng…
Paired Wasserstein Autoencoders for Conditional Samplingby Moritz Piening, Matthias ChungFirst submitted to arxiv on: 10…
Modeling High-Resolution Spatio-Temporal Wind with Deep Echo State Networks and Stochastic Partial Differential Equationsby Kesen…
Optimizing Personalized Federated Learning through Adaptive Layer-Wise Learningby Weihang Chen, Jie Ren, Zhiqiang Li, Ling…
VQ4ALL: Efficient Neural Network Representation via a Universal Codebookby Juncan Deng, Shuaiting Li, Zeyu Wang,…
Understanding Gradient Descent through the Training Jacobianby Nora Belrose, Adam ScherlisFirst submitted to arxiv on:…