| Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch OA Malik, S Becker Advances in Neural Information Processing Systems, 10096-10106, 2018 | 119 | 2018 |
| Randomized Numerical Linear Algebra: A Perspective on the Field With an Eye to Software R Murray, J Demmel, MW Mahoney, NB Erichson, M Melnichenko, ... arXiv preprint arXiv:2302.11474, 2023 | 37 | 2023 |
| A Sampling-Based Method for Tensor Ring Decomposition OA Malik, S Becker International Conference on Machine Learning, 7400-7411, 2021 | 33 | 2021 |
| Dynamic Graph Convolutional Networks Using the Tensor M-Product OA Malik, S Ubaru, L Horesh, ME Kilmer, H Avron SIAM International Conference on Data Mining (SDM), 729-737, 2021 | 26 | 2021 |
| Guarantees for the Kronecker Fast Johnson–Lindenstrauss Transform Using a Coherence and Sampling Argument OA Malik, S Becker Linear Algebra and its Applications 602, 120-137, 2020 | 24 | 2020 |
| Fast randomized matrix and tensor interpolative decomposition using CountSketch OA Malik, S Becker Advances in Computational Mathematics 46 (6), 1-28, 2020 | 19 | 2020 |
| More Efficient Sampling for Tensor Decomposition With Worst-Case Guarantees OA Malik International Conference on Machine Learning, 14887-14917, 2022 | 17 | 2022 |
| Binary matrix factorization on special purpose hardware OA Malik, H Ushijima-Mwesigwa, A Roy, A Mandal, I Ghosh Plos one 16 (12), e0261250, 2021 | 8 | 2021 |
| Tensor Graph Neural Networks for Learning on Time Varying Graphs OA Malik, S Ubaru, L Horesh, ME Kilmer, H Avron NeurIPS Workshop on Graph Representation Learning, 2019 | 8* | 2019 |
| Bi-fidelity Variational Auto-encoder for Uncertainty Quantification N Cheng, OA Malik, S De, S Becker, A Doostan arXiv preprint arXiv:2305.16530, 2023 | 7 | 2023 |
| Fast Algorithms for Monotone Lower Subsets of Kronecker Least Squares Problems OA Malik, Y Xu, N Cheng, S Becker, A Doostan, A Narayan arXiv preprint arXiv:2209.05662, 2022 | 7 | 2022 |
| Fast Exact Leverage Score Sampling from Khatri-Rao Products with Applications to Tensor Decomposition V Bharadwaj, OA Malik, R Murray, L Grigori, A Buluc, J Demmel Advances in Neural Information Processing Systems 36, 2024 | 5 | 2024 |
| Subsampling of Parametric Models with Bifidelity Boosting N Cheng, OA Malik, Y Xu, S Becker, A Doostan, A Narayan SIAM/ASA Journal on Uncertainty Quantification 12 (2), 213-241, 2024 | 4* | 2024 |
| Distributed-Memory Randomized Algorithms for Sparse Tensor CP Decomposition V Bharadwaj, OA Malik, R Murray, A Buluç, J Demmel Proceedings of the 36th ACM Symposium on Parallelism in Algorithms and …, 2024 | 2 | 2024 |
| Tensor-based predictions from analysis of time-varying graphs L Horesh, OA Malik, S Ubaru, ME Kilmer, H Avron US Patent 11,386,507, 2022 | 2 | 2022 |
| Randomization of approximate bilinear computation for matrix multiplication OA Malik, S Becker International Journal of Computer Mathematics: Computer Systems Theory 6 (1 …, 2021 | 2 | 2021 |
| Construction of Hierarchically Semi-Separable matrix Representation using Adaptive Johnson-Lindenstrauss Sketching Y Yaniv, OA Malik, P Ghysels, XS Li arXiv preprint arXiv:2302.01977, 2023 | 1 | 2023 |
| Sampling-Based Decomposition Algorithms for Arbitrary Tensor Networks OA Malik, V Bharadwaj, R Murray arXiv preprint arXiv:2210.03828, 2022 | 1 | 2022 |
| Superresolution photoacoustic tomography using random speckle illumination and second order moments OA Malik, VV Narumanchi, S Becker, TW Murray 2021 IEEE Workshop on Applications of Signal Processing to Audio and …, 2021 | 1 | 2021 |
| Learning Physics for Unveiling Hidden Earthquake Ground Motions via Conditional Generative Modeling P Ren, R Nakata, M Lacour, I Naiman, N Nakata, J Song, Z Bi, OA Malik, ... arXiv preprint arXiv:2407.15089, 2024 | | 2024 |
Stephen BeckerAssociate Professor at University of ColoradoVerified email at colorado.edu
