Taghibakhshi, Ali

5 publications

NeurIPS 2025 Efficient Hybrid Language Model Compression Through Group-Aware SSM Pruning Ali Taghibakhshi, Sharath Turuvekere Sreenivas, Saurav Muralidharan, Marcin Chochowski, Yashaswi Karnati, Raviraj Bhuminand Joshi, Ameya Sunil Mahabaleshwarkar, Zijia Chen, Yoshi Suhara, Oluwatobi Olabiyi, Daniel Korzekwa, Mostofa Patwary, Mohammad Shoeybi, Jan Kautz, Bryan Catanzaro, Ashwath Aithal, Nima Tajbakhsh, Pavlo Molchanov

WACV 2025 Elucidating Optimal Reward-Diversity Tradeoffs in Text-to-Image Diffusion Models Rohit Jena, Ali Taghibakhshi, Sahil Jain, Gerald Shen, Nima Tajbakhsh, Arash Vahdat

ICML 2023 MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods Ali Taghibakhshi, Nicolas Nytko, Tareq Uz Zaman, Scott Maclachlan, Luke Olson, Matthew West

NeurIPS 2022 Learning Interface Conditions in Domain Decomposition Solvers Ali Taghibakhshi, Nicolas Nytko, Tareq Uz Zaman, Scott MacLachlan, Luke Olson, Matthew West

NeurIPS 2021 Optimization-Based Algebraic Multigrid Coarsening Using Reinforcement Learning Ali Taghibakhshi, Scott MacLachlan, Luke Olson, Matthew West