Numerical Approximation Capacity of Neural Networks with Bounded Parameters: Do Limits Exist, and How Can…
Exploring Information-Theoretic Metrics Associated with Neural Collapse in Supervised Trainingby Kun Song, Zhiquan Tan, Bochao…
Super Level Sets and Exponential Decay: A Synergistic Approach to Stable Neural Network Trainingby Jatin…
Large Language Model Predicts Above Normal All India Summer Monsoon Rainfall in 2024by Ujjawal Sharma,…
Development and Application of a Sentinel-2 Satellite Imagery Dataset for Deep-Learning Driven Forest Wildfire Detectionby…
Leveraging Local Structure for Improving Model Explanations: An Information Propagation Approachby Ruo Yang, Binghui Wang,…
Deep Learning Approach for Knee Point Detection on Noisy Databy Ting Yan Fok, Nong YeFirst…
Novel Saliency Analysis for the Forward Forward Algorithmby Mitra BakhshiFirst submitted to arxiv on: 18…
Approximated Orthogonal Projection Unit: Stabilizing Regression Network Training Using Natural Gradientby Shaoqi Wang, Chunjie Yang,…
Neural Control Variates with Automatic Integrationby Zilu Li, Guandao Yang, Qingqing Zhao, Xi Deng, Leonidas…