Summary of Stochastic Runge-kutta Methods: Provable Acceleration Of Diffusion Models, by Yuchen Wu et al.
Stochastic Runge-Kutta Methods: Provable Acceleration of Diffusion Modelsby Yuchen Wu, Yuxin Chen, Yuting WeiFirst submitted…
Stochastic Runge-Kutta Methods: Provable Acceleration of Diffusion Modelsby Yuchen Wu, Yuxin Chen, Yuting WeiFirst submitted…
ImProver: Agent-Based Automated Proof Optimizationby Riyaz Ahuja, Jeremy Avigad, Prasad Tetali, Sean WelleckFirst submitted to…
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Leveraging Large Language Models for Suicide Detection on Social Media with Limited Labelsby Vy Nguyen,…
Look Around and Find Out: OOD Detection with Relative Anglesby Berker Demirel, Marco Fumero, Francesco…
Dynamic Post-Hoc Neural Ensemblersby Sebastian Pineda Arango, Maciej Janowski, Lennart Purucker, Arber Zela, Frank Hutter,…
On Evaluating LLMs’ Capabilities as Functional Approximators: A Bayesian Perspectiveby Shoaib Ahmed Siddiqui, Yanzhi Chen,…
Pullback Flow Matching on Data Manifoldsby Friso de Kruiff, Erik Bekkers, Ozan Öktem, Carola-Bibiane Schönlieb,…
Bisimulation metric for Model Predictive Controlby Yutaka Shimizu, Masayoshi TomizukaFirst submitted to arxiv on: 6…