Ali Taghibakhshi

According to our database1, Ali Taghibakhshi authored at least 8 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Generalizing reduction-based algebraic multigrid.
Numer. Linear Algebra Appl., May, 2024

2023
Generalizing Lloyd's algorithm for graph clustering.
CoRR, 2023

MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods.
Proceedings of the International Conference on Machine Learning, 2023

Hierarchical Graph Neural Network with Cross-Attention for Cross-Device User Matching.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2023

2022
Optimized Sparse Matrix Operations for Reverse Mode Automatic Differentiation.
CoRR, 2022

Learning Interface Conditions in Domain Decomposition Solvers.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Optimization-Based Algebraic Multigrid Coarsening Using Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Local Navigation and Docking of an Autonomous Robot Mower Using Reinforcement Learning and Computer Vision.
Proceedings of the 13th International Conference on Computer and Automation Engineering, 2021


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