Ali Taghibakhshi

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 15

Top Topics

Reinforcement Learning

Top Venues

Publications

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
NeMo-Aligner: Scalable Toolkit for Efficient Model Alignment. CoRR (2024)
Tareq Uz Zaman, Nicolas Nytko, Ali Taghibakhshi, Scott P. MacLachlan, Luke N. Olson, Matthew West
Generalizing reduction-based algebraic multigrid. Numer. Linear Algebra Appl. 31 (3) (2024)
Ali Taghibakhshi, Nicolas Nytko, Tareq-Uz-Zaman, Scott P. MacLachlan, Luke N. Olson, Matthew West
MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods. CoRR (2023)
Ali Taghibakhshi, Nicolas Nytko, Tareq Uz Zaman, Scott P. MacLachlan, Luke N. Olson, Matthew West
MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods. ICML (2023)
Ali Taghibakhshi, Mingyuan Ma, Ashwath Aithal, Onur Yilmaz, Haggai Maron, Matthew West
Hierarchical Graph Neural Network with Cross-Attention for Cross-Device User Matching. CoRR (2023)
Ali Taghibakhshi, Mingyuan Ma, Ashwath Aithal, Onur Yilmaz, Haggai Maron, Matthew West
Hierarchical Graph Neural Network with Cross-Attention for Cross-Device User Matching. DaWaK (2023)
Tareq Zaman, Nicolas Nytko, Ali Taghibakhshi, Scott P. MacLachlan, Luke N. Olson, Matthew West
Generalizing Lloyd's algorithm for graph clustering. CoRR (2023)
Ali Taghibakhshi, Nicolas Nytko, Tareq Zaman, Scott P. MacLachlan, Luke N. Olson, Matthew West
Learning Interface Conditions in Domain Decomposition Solvers. CoRR (2022)
Nicolas Nytko, Ali Taghibakhshi, Tareq-Uz-Zaman, Scott P. MacLachlan, Luke N. Olson, Matt West
Optimized Sparse Matrix Operations for Reverse Mode Automatic Differentiation. CoRR (2022)
Tareq Zaman, Nicolas Nytko, Ali Taghibakhshi, Scott P. MacLachlan, Luke N. Olson, Matthew West
Generalizing Reduction-Based Algebraic Multigrid. CoRR (2022)
Ali Taghibakhshi, Nicolas Nytko, Tareq Uz Zaman, Scott P. MacLachlan, Luke N. Olson, Matthew West
Learning Interface Conditions in Domain Decomposition Solvers. NeurIPS (2022)
Ali Taghibakhshi, Nathan Ogden, Matthew West
Local Navigation and Docking of an Autonomous Robot Mower Using Reinforcement Learning and Computer Vision. ICCAE (2021)
Ali Taghibakhshi, Scott MacLachlan, Luke Olson, Matthew West
Optimization-Based Algebraic Multigrid Coarsening Using Reinforcement Learning. CoRR (2021)
Ali Taghibakhshi, Scott P. MacLachlan, Luke N. Olson, Matthew West
Optimization-Based Algebraic Multigrid Coarsening Using Reinforcement Learning. NeurIPS (2021)
Ali Taghibakhshi, Nathan Ogden, Matthew West
Local Navigation and Docking of an Autonomous Robot Mower using Reinforcement Learning and Computer Vision. CoRR (2021)