Ryan Lucas

According to our database, Ryan Lucas authored at least 5 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

ADMM-Q: An Improved Hessian-based Weight Quantizer for Post-Training Quantization of Large Language Models.

Ryan Lucas, Mehdi Makni, Xiang Meng, Adam Deng, Rahul Mazumder

CoRR, May, 2026

2025

Reasoning Models Can be Accurately Pruned Via Chain-of-Thought Reconstruction.

Ryan Lucas, Kayhan Behdin, Zhipeng Wang, Qingquan Song, Shao Tang, Rahul Mazumder

CoRR, September, 2025

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels.

Long Le, Ryan Lucas, Chen Wang, Chuhao Chen, Dinesh Jayaraman, Eric Eaton, Lingjie Liu

CoRR, August, 2025

Preserving Deep Representations in One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework.

Ryan Lucas, Rahul Mazumder

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2023

Certified Robust Neural Networks: Generalization and Corruption Resistance.

M. Amine Bennouna, Ryan Lucas, Bart P. G. Van Parys

Proceedings of the International Conference on Machine Learning, 2023