Summary of Regents: Real-world Safety-critical Driving Scenario Generation Made Stable, by Yuan Yin et al.
ReGentS: Real-World Safety-Critical Driving Scenario Generation Made Stableby Yuan Yin, Pegah Khayatan, Éloi Zablocki, Alexandre…
ReGentS: Real-World Safety-Critical Driving Scenario Generation Made Stableby Yuan Yin, Pegah Khayatan, Éloi Zablocki, Alexandre…
Non-negative Weighted DAG Structure Learningby Samuel Rey, Seyed Saman Saboksayr, Gonzalo MateosFirst submitted to arxiv…
Convergence of continuous-time stochastic gradient descent with applications to linear deep neural networksby Gabor Lugosi,…
Combined Optimization of Dynamics and Assimilation with End-to-End Learning on Sparse Observationsby Vadim Zinchenko, David…
Applying Multi-Fidelity Bayesian Optimization in Chemistry: Open Challenges and Major Considerationsby Edmund Judge, Mohammed Azzouzi,…
Applied Federated Model Personalisation in the Industrial Domain: A Comparative Studyby Ilias Siniosoglou, Vasileios Argyriou,…
Policy Filtration in RLHF to Fine-Tune LLM for Code Generationby Wei Shen, Chuheng ZhangFirst submitted…
What is the Right Notion of Distance between Predict-then-Optimize Tasks?by Paula Rodriguez-Diaz, Lingkai Kong, Kai…
Length Desensitization in Direct Preference Optimizationby Wei Liu, Yang Bai, Chengcheng Han, Rongxiang Weng, Jun…
Dynamic Decoupling of Placid Terminal Attractor-based Gradient Descent Algorithmby Jinwei Zhao, Marco Gori, Alessandro Betti,…