Entropy Regularized Task Representation Learning for Offline Meta-Reinforcement Learningby Mohammadreza Nakhaei, Aidan Scannell, Joni PajarinenFirst…
AI-Powered Intracranial Hemorrhage Detection: A Co-Scale Convolutional Attention Model with Uncertainty-Based Fuzzy Integral Operator and…
Corn Ear Detection and Orientation Estimation Using Deep Learningby Nathan Sprague, John Evans, Michael MardikesFirst…
Statistical Undersampling with Mutual Information and Support Pointsby Alex Mak, Shubham Sahoo, Shivani Pandey, Yidan…
Downscaling Precipitation with Bias-informed Conditional Diffusion Modelby Ran Lyu, Linhan Wang, Yanshen Sun, Hedanqiu Bai,…
Leveraging Time Series Categorization and Temporal Fusion Transformers to Improve Cryptocurrency Price Forecastingby Arash Peik,…
ST-ReP: Learning Predictive Representations Efficiently for Spatial-Temporal Forecastingby Qi Zheng, Zihao Yao, Yaying ZhangFirst submitted…
Transformer models are gauge invariant: A mathematical connection between AI and particle physicsby Leo van…
Summary of Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin…
Single-Loop Federated Actor-Critic across Heterogeneous Environmentsby Ye Zhu, Xiaowen GongFirst submitted to arxiv on: 19…