SequentialAttention++ for Block Sparsification: Differentiable Pruning Meets Combinatorial Optimizationby Taisuke Yasuda, Kyriakos Axiotis, Gang Fu,…
Implicit Regularization via Spectral Neural Networks and Non-linear Matrix Sensingby Hong T.M. Chu, Subhro Ghosh,…
Label Learning Method Based on Tensor Projectionby Jing Li, Quanxue Gao, Qianqian Wang, Cheng Deng,…
How Can LLM Guide RL? A Value-Based Approachby Shenao Zhang, Sirui Zheng, Shuqi Ke, Zhihan…
A Generative Machine Learning Model for Material Microstructure 3D Reconstruction and Performance Evaluationby Yilin Zheng,…
Prompt Perturbation Consistency Learning for Robust Language Modelsby Yao Qiang, Subhrangshu Nandi, Ninareh Mehrabi, Greg…
Smooth and Sparse Latent Dynamics in Operator Learning with Jerk Regularizationby Xiaoyu Xie, Saviz Mowlavi,…
Information-Theoretic Safe Bayesian Optimizationby Alessandro G. Bottero, Carlos E. Luis, Julia Vinogradska, Felix Berkenkamp, Jan…
Spatiotemporal Observer Design for Predictive Learning of High-Dimensional Databy Tongyi Liang, Han-Xiong LiFirst submitted to…
Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-offby Futa Waseda, Ching-Chun Chang, Isao…