Scilab-RL: A software framework for efficient reinforcement learning and cognitive modeling researchby Jan Dohmen, Frank…
Explainable Bayesian Optimizationby Tanmay Chakraborty, Christin Seifert, Christian WirthFirst submitted to arxiv on: 24 Jan…
Towards Improved Variational Inference for Deep Bayesian Modelsby Sebastian W. OberFirst submitted to arxiv on:…
Multi-Agent Reinforcement Learning for Maritime Operational Technology Cyber Securityby Alec Wilson, Ryan Menzies, Neela Morarji,…
Bilevel Optimization under Unbounded Smoothness: A New Algorithm and Convergence Analysisby Jie Hao, Xiaochuan Gong,…
GNN-LoFI: a Novel Graph Neural Network through Localized Feature-based Histogram Intersectionby Alessandro Bicciato, Luca Cosmo,…
Harnessing Orthogonality to Train Low-Rank Neural Networksby Daniel Coquelin, Katharina Flügel, Marie Weiel, Nicholas Kiefer,…
Hyperparameter Estimation for Sparse Bayesian Learning Modelsby Feng Yu, Lixin Shen, Guohui SongFirst submitted to…
U-Trustworthy Models.Reliability, Competence, and Confidence in Decision-Makingby Ritwik Vashistha, Arya FarahiFirst submitted to arxiv on:…
Large Language Models aren’t all that you needby Kiran Voderhobli Holla, Chaithanya Kumar, Aryan SinghFirst…