Graph Neural Networks and Spatial Information Learning for Post-Processing Ensemble Weather Forecastsby Moritz Feik, Sebastian…
A Geometric Framework for Adversarial Vulnerability in Machine Learningby Brian BellFirst submitted to arxiv on:…
Purification Of Contaminated Convolutional Neural Networks Via Robust Recovery: An Approach with Theoretical Guarantee in…
An Automated Approach to Collecting and Labeling Time Series Data for Event Detection Using Elastic…
A Survey on LoRA of Large Language Modelsby Yuren Mao, Yuhang Ge, Yijiang Fan, Wenyi…
Residual resampling-based physics-informed neural network for neutron diffusion equationsby Heng Zhang, Yun-Ling He, Dong Liu,…
Quantum-tunnelling deep neural network for optical illusion recognitionby Ivan S. MaksymovFirst submitted to arxiv on:…
Principal Component Flow Map Learning of PDEs from Incomplete, Limited, and Noisy Databy Victor ChurchillFirst…
Deep Causal Learning to Explain and Quantify The Geo-Tension’s Impact on Natural Gas Marketby Philipp…
An Interpretable Neural Network for Vegetation Phenotyping with Visualization of Trait-Based Spectral Featuresby William Basener,…