Formally Verifying Deep Reinforcement Learning Controllers with Lyapunov Barrier Certificatesby Udayan Mandal, Guy Amir, Haoze…
SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Databy Sakshi Choudhary, Sai Aparna Aketi, Kaushik RoyFirst…
Improving Fairness and Mitigating MADness in Generative Modelsby Paul Mayer, Lorenzo Luzi, Ali Siahkoohi, Don…
Animal Behavior Analysis Methods Using Deep Learning: A Surveyby Edoardo Fazzari, Donato Romano, Fabrizio Falchi,…
Counterfactual Gradients-based Quantification of Prediction Trust in Neural Networksby Mohit Prabhushankar, Ghassan AlRegibFirst submitted to…
Enhancing Multiscale Simulations with Constitutive Relations-Aware Deep Operator Networksby Hamidreza Eivazi, Mahyar Alikhani, Jendrik-Alexander Tröger,…
Generalized Laplace Approximationby Yinsong Chen, Samson S. Yu, Zhong Li, Chee Peng LimFirst submitted to…
Bond Graphs for multi-physics informed Neural Networks for multi-variate time seriesby Alexis-Raja Brachet, Pierre-Yves Richard,…
FAITH: Frequency-domain Attention In Two Horizons for Time Series Forecastingby Ruiqi Li, Maowei Jiang, Kai…
System Safety Monitoring of Learned Components Using Temporal Metric Forecastingby Sepehr Sharifi, Andrea Stocco, Lionel…