Summary of Some Best Practices in Operator Learning, by Dustin Enyeart and Guang Lin
Some Best Practices in Operator Learningby Dustin Enyeart, Guang LinFirst submitted to arxiv on: 9…
Some Best Practices in Operator Learningby Dustin Enyeart, Guang LinFirst submitted to arxiv on: 9…
Exploring Critical Testing Scenarios for Decision-Making Policies: An LLM Approachby Weichao Xu, Huaxin Pei, Jingxuan…
OmniEvalKit: A Modular, Lightweight Toolbox for Evaluating Large Language Model and its Omni-Extensionsby Yi-Kai Zhang,…
Exploring Memorization and Copyright Violation in Frontier LLMs: A Study of the New York Times…
Low-Rank Matrix Factorizations with Volume-based Constraints and Regularizationsby Olivier Vu ThanhFirst submitted to arxiv on:…
PyPulse: A Python Library for Biosignal Imputationby Kevin Gao, Maxwell A. Xu, James M. Rehg,…
Gentle Local Robustness implies Generalizationby Khoat Than, Dat Phan, Giang VuFirst submitted to arxiv on:…
Edge Delayed Deep Deterministic Policy Gradient: efficient continuous control for edge scenariosby Alberto Sinigaglia, Niccolò…
Exploring the Impact of Synthetic Data on Human Gesture Recognition Tasks Using GANsby George Kontogiannis,…
BatchTopK Sparse Autoencodersby Bart Bussmann, Patrick Leask, Neel NandaFirst submitted to arxiv on: 9 Dec…