| Optimization-based algebraic multigrid coarsening using reinforcement learning A Taghibakhshi, S MacLachlan, L Olson, M West Advances in neural information processing systems 34, 12129-12140, 2021 | 41 | 2021 |
| Three-dimensional modeling of avascular tumor growth in both static and dynamic culture platforms A Taghibakhshi, M Barisam, MS Saidi, N Kashaninejad, NT Nguyen Micromachines 10 (9), 580, 2019 | 31 | 2019 |
| Determination of surface properties and elastic constants of FCC metals: a comparison among different EAM potentials in thin film and bulk scale HN Pishkenari, FS Yousefi, A Taghibakhshi Materials Research Express 6 (1), 015020, 2018 | 31 | 2018 |
| Mg-gnn: Multigrid graph neural networks for learning multilevel domain decomposition methods A Taghibakhshi, N Nytko, TU Zaman, S MacLachlan, L Olson, M West International Conference on Machine Learning, 33381-33395, 2023 | 15 | 2023 |
| Learning interface conditions in domain decomposition solvers A Taghibakhshi, N Nytko, TU Zaman, S MacLachlan, L Olson, M West Advances in Neural Information Processing Systems 35, 7222-7235, 2022 | 14 | 2022 |
| Local navigation and docking of an autonomous robot mower using reinforcement learning and computer vision A Taghibakhshi, N Ogden, M West 2021 13th International Conference on Computer and Automation Engineering …, 2021 | 12 | 2021 |
| Study and simulation of nanoparticle translocation through cell membrane H Nejat Pishkenari, MR Barzegar, A Taghibakhshi Iranian Journal of Science and Technology, Transactions of Mechanical …, 2021 | 8 | 2021 |
| Optimized sparse matrix operations for reverse mode automatic differentiation N Nytko, A Taghibakhshi, TU Zaman, S MacLachlan, LN Olson, M West arXiv preprint arXiv:2212.05159, 2022 | 7 | 2022 |
| Generalizing reduction‐based algebraic multigrid T Zaman, N Nytko, A Taghibakhshi, S MacLachlan, L Olson, M West Numerical Linear Algebra with Applications 31 (3), e2543, 2024 | 5 | 2024 |
| Optimization-based algebraic multigrid coarsening using reinforcement learning, ArXiv, abs/2106.01854 (2021) A Taghibakhshi, SP MacLachlan, L Olson, M West | 2 | 2021 |
| Generalizing lloyd’s algorithm for graph clustering T Zaman, N Nytko, A Taghibakhshi, S MacLachlan, L Olson, M West SIAM Journal on Scientific Computing 46 (5), A2819-A2847, 2024 | 1 | 2024 |
| Elucidating optimal reward-diversity tradeoffs in text-to-image diffusion models R Jena, A Taghibakhshi, S Jain, G Shen, N Tajbakhsh, A Vahdat arXiv preprint arXiv:2409.06493, 2024 | 1 | 2024 |
| Nemo-aligner: Scalable toolkit for efficient model alignment G Shen, Z Wang, O Delalleau, J Zeng, Y Dong, D Egert, S Sun, J Zhang, ... arXiv preprint arXiv:2405.01481, 2024 | 1 | 2024 |
| Hierarchical graph neural network with cross-attention for cross-device user matching A Taghibakhshi, M Ma, A Aithal, O Yilmaz, H Maron, M West International Conference on Big Data Analytics and Knowledge Discovery, 303-315, 2023 | 1 | 2023 |
| Systems and Algorithms for Convolutional Multi-Hybrid Language Models at Scale J Ku, E Nguyen, DW Romero, G Brixi, B Yang, A Vorontsov, ... arXiv preprint arXiv:2503.01868, 2025 | | 2025 |
| Genome modeling and design across all domains of life with Evo 2 G Brixi, MG Durrant, J Ku, M Poli, G Brockman, D Chang, GA Gonzalez, ... bioRxiv, 2025.02. 18.638918, 2025 | | 2025 |
| Advancing domain decomposition methods and entity resolution with graph neural networks A Taghibakhshi University of Illinois at Urbana-Champaign, 2023 | | 2023 |
| Study of microstructural growth under cyclic martensite phase transition in shape memory alloys; A molecular dynamics approach SA Moravej, A Taghibakhshi, H Nejat Pishkenari, J Arghavani Journal of Intelligent Material Systems and Structures 33 (4), 604-616, 2022 | | 2022 |
Matthew WestProfessor of Mechanical Science and EngineeringVerified email at illinois.edu
