Formulations and scalability of neural network surrogates in nonlinear optimization problemsby Robert B. Parker, Oscar…
Unsupervised Anomaly Detection for Tabular Data Using Noise Evaluationby Wei Dai, Kai Hwang, Jicong FanFirst…
Prediction-Enhanced Monte Carlo: A Machine Learning View on Control Variateby Fengpei Li, Haoxian Chen, Jiahe…
Deep Random Features for Scalable Interpolation of Spatiotemporal Databy Weibin Chen, Azhir Mahmood, Michel Tsamados,…
Deep Learning-based Approaches for State Space Models: A Selective Reviewby Jiahe Lin, George MichailidisFirst submitted…
Set-Valued Sensitivity Analysis of Deep Neural Networksby Xin Wang, Feilong Wang, Xuegang BanFirst submitted to…
Exploring Grokking: Experimental and Mechanistic Investigationsby Hu Qiye, Zhou Hao, Yu RuoXiFirst submitted to arxiv…
A Pioneering Neural Network Method for Efficient and Robust Fluid Simulationby Yu Chen, Shuai Zheng,…
RWKV-Lite: Deeply Compressed RWKV for Resource-Constrained Devicesby Wonkyo Choe, Yangfeng Ji, Felix Xiaozhu LinFirst submitted…
Memory-Efficient 4-bit Preconditioned Stochastic Optimizationby Jingyang Li, Kuangyu Ding, Kim-Chuan Toh, Pan ZhouFirst submitted to…