Uncertainty Quantification of Graph Convolution Neural Network Models of Evolving Processesby Jeremiah Hauth, Cosmin Safta,…
Privacy Attacks in Decentralized Learningby Abdellah El Mrini, Edwige Cyffers, Aurélien BelletFirst submitted to arxiv…
Exact, Fast and Expressive Poisson Point Processes via Squared Neural Familiesby Russell Tsuchida, Cheng Soon…
Attacking Large Language Models with Projected Gradient Descentby Simon Geisler, Tom Wollschläger, M. H. I.…
Corridor Geometry in Gradient-Based Optimizationby Benoit Dherin, Mihaela RoscaFirst submitted to arxiv on: 13 Feb…
Intriguing Differences Between Zero-Shot and Systematic Evaluations of Vision-Language Transformer Modelsby Shaeke Salman, Md Montasir…
Distal Interference: Exploring the Limits of Model-Based Continual Learningby Heinrich van Deventer, Anna Sergeevna BosmanFirst…
Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial Statesby Noam…
Towards Quantifying the Preconditioning Effect of Adamby Rudrajit Das, Naman Agarwal, Sujay Sanghavi, Inderjit S.…
Learning Attributed Graphlets: Predictive Graph Mining by Graphlets with Trainable Attributeby Tajima Shinji, Ren Sugihara,…