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