Ali Taghibakhshi

22 papers A* 3A 1B 1Journal 16Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Efficient Hybrid Language Model Compression through Group-Aware SSM Pruning.
CoRR
Ali Taghibakhshi, Sharath Turuvekere Sreenivas, Saurav Muralidharan, Marcin Chochowski, Yashaswi Karnati, Raviraj 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
2025 A conf
Elucidating Optimal Reward-Diversity Tradeoffs in Text-to-Image Diffusion Models.
WACV
Rohit Jena, Ali Taghibakhshi, Sahil Jain, Gerald Shen, Nima Tajbakhsh, Arash Vahdat
2025 J jnl
Nemotron Elastic: Towards Efficient Many-in-One Reasoning LLMs.
CoRR
Ali Taghibakhshi, Sharath Turuvekere Sreenivas, Saurav Muralidharan, Ruisi Cai, Marcin Chochowski, Ameya Sunil Mahabaleshwarkar, Yoshi Suhara, Oluwatobi Olabiyi, Daniel Korzekwa, Mostofa Patwary, Mohammad Shoeybi, Jan Kautz, Bryan Catanzaro, Ashwath Aithal, Nima Tajbakhsh, Pavlo Molchanov
2025 J jnl
Optimized Sparse Matrix Operations for Reverse Mode Automatic Differentiation.
SIAM J. Sci. Comput.
Nicolas Nytko, Ali Taghibakhshi, Tareq Uz Zaman, Scott P. MacLachlan, Luke N. Olson, Matthew West
2025 J jnl
Systems and Algorithms for Convolutional Multi-Hybrid Language Models at Scale.
CoRR
Jerome Ku, Eric Nguyen, David W. Romero, Garyk Brixi, Brandon Yang, Anton Vorontsov, Ali Taghibakhshi, Amy X. Lu, Dave P. Burke, Greg Brockman, Stefano Massaroli, Christopher Ré, Patrick D. Hsu, Brian L. Hie, Stefano Ermon, Michael Poli
2024 J jnl
Elucidating Optimal Reward-Diversity Tradeoffs in Text-to-Image Diffusion Models.
CoRR
Rohit Jena, Ali Taghibakhshi, Sahil Jain, Gerald Shen, Nima Tajbakhsh, Arash Vahdat
2024 J jnl
Generalizing Lloyd's Algorithm for Graph Clustering.
SIAM J. Sci. Comput.
Tareq Uz Zaman, Nicolas Nytko, Ali Taghibakhshi, Scott P. MacLachlan, Luke N. Olson, Matthew West
2024 J jnl
Generalizing reduction-based algebraic multigrid.
Numer. Linear Algebra Appl.
Tareq Uz Zaman, Nicolas Nytko, Ali Taghibakhshi, Scott P. MacLachlan, Luke N. Olson, Matthew West
2024 J jnl
NeMo-Aligner: Scalable Toolkit for Efficient Model Alignment.
CoRR
Gerald Shen, Zhilin Wang, Olivier Delalleau, Jiaqi Zeng, Yi Dong, Daniel Egert, Shengyang Sun, Jimmy J. Zhang, Sahil Jain, Ali Taghibakhshi, Markel Sanz Ausin, Ashwath Aithal, Oleksii Kuchaiev
2023 J jnl
Generalizing Lloyd's algorithm for graph clustering.
CoRR
Tareq Uz Zaman, Nicolas Nytko, Ali Taghibakhshi, Scott P. MacLachlan, Luke N. Olson, Matthew West
2023 B conf
Hierarchical Graph Neural Network with Cross-Attention for Cross-Device User Matching.
DaWaK
Ali Taghibakhshi, Mingyuan Ma, Ashwath Aithal, Onur Yilmaz, Haggai Maron, Matthew West
2023 J jnl
Hierarchical Graph Neural Network with Cross-Attention for Cross-Device User Matching.
CoRR
Ali Taghibakhshi, Mingyuan Ma, Ashwath Aithal, Onur Yilmaz, Haggai Maron, Matthew West
2023 A* conf
MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods.
ICML
Ali Taghibakhshi, Nicolas Nytko, Tareq Uz Zaman, Scott P. MacLachlan, Luke N. Olson, Matthew West
2023 J jnl
MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods.
CoRR
Ali Taghibakhshi, Nicolas Nytko, Tareq-Uz-Zaman, Scott P. MacLachlan, Luke N. Olson, Matthew West
2022 J jnl
Generalizing Reduction-Based Algebraic Multigrid.
CoRR
Tareq Uz Zaman, Nicolas Nytko, Ali Taghibakhshi, Scott P. MacLachlan, Luke N. Olson, Matthew West
2022 A* conf
Learning Interface Conditions in Domain Decomposition Solvers.
NeurIPS
Ali Taghibakhshi, Nicolas Nytko, Tareq Uz Zaman, Scott P. MacLachlan, Luke N. Olson, Matthew West
2022 J jnl
Learning Interface Conditions in Domain Decomposition Solvers.
CoRR
Ali Taghibakhshi, Nicolas Nytko, Tareq Uz Zaman, Scott P. MacLachlan, Luke N. Olson, Matthew West
2022 J jnl
Optimized Sparse Matrix Operations for Reverse Mode Automatic Differentiation.
CoRR
Nicolas Nytko, Ali Taghibakhshi, Tareq-Uz-Zaman, Scott P. MacLachlan, Luke N. Olson, Matt West
2021 — conf
Local Navigation and Docking of an Autonomous Robot Mower Using Reinforcement Learning and Computer Vision.
ICCAE
Ali Taghibakhshi, Nathan Ogden, Matthew West
2021 J jnl
Local Navigation and Docking of an Autonomous Robot Mower using Reinforcement Learning and Computer Vision.
CoRR
Ali Taghibakhshi, Nathan Ogden, Matthew West
2021 A* conf
Optimization-Based Algebraic Multigrid Coarsening Using Reinforcement Learning.
NeurIPS
Ali Taghibakhshi, Scott P. MacLachlan, Luke N. Olson, Matthew West
2021 J jnl
Optimization-Based Algebraic Multigrid Coarsening Using Reinforcement Learning.
CoRR
Ali Taghibakhshi, Scott P. MacLachlan, Luke N. Olson, Matthew West