Osman Asif Malik

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 28

Top Topics

Randomized Algorithms

Johnson Lindenstrauss

Tensor Decomposition

Special Purpose Hardware

Top Venues

Publications

Nuojin Cheng, Osman Asif Malik, Yiming Xu, Stephen Becker, Alireza Doostan, Akil Narayan
Subsampling of Parametric Models with Bifidelity Boosting. SIAM/ASA J. Uncertain. Quantification 12 (2) (2024)
Vivek Bharadwaj, Beheshteh T. Rakhshan, Osman Asif Malik, Guillaume Rabusseau
Efficient Leverage Score Sampling for Tensor Train Decomposition. CoRR (2024)
Pu Ren, Rie Nakata, Maxime Lacour, Ilan Naiman, Nori Nakata, Jialin Song, Zhengfa Bi, Osman Asif Malik, Dmitriy Morozov, Omri Azencot, N. Benjamin Erichson, Michael W. Mahoney
Learning Physics for Unveiling Hidden Earthquake Ground Motions via Conditional Generative Modeling. CoRR (2024)
Vivek Bharadwaj, Osman Asif Malik, Riley Murray, Aydin Buluç, James Demmel
Distributed-Memory Randomized Algorithms for Sparse Tensor CP Decomposition. SPAA (2024)
Riley Murray, James Demmel, Michael W. Mahoney, N. Benjamin Erichson, Maksim Melnichenko, Osman Asif Malik, Laura Grigori, Piotr Luszczek, Michal Derezinski, Miles E. Lopes, Tianyu Liang, Hengrui Luo, Jack J. Dongarra
Randomized Numerical Linear Algebra : A Perspective on the Field With an Eye to Software. CoRR (2023)
Yotam Yaniv, Osman Asif Malik, Pieter Ghysels, Xiaoye S. Li
Construction of Hierarchically Semi-Separable matrix Representation using Adaptive Johnson-Lindenstrauss Sketching. CoRR (2023)
Vivek Bharadwaj, Osman Asif Malik, Riley Murray, Laura Grigori, Aydin Buluç, James Demmel
Fast Exact Leverage Score Sampling from Khatri-Rao Products with Applications to Tensor Decomposition. CoRR (2023)
Richard Border, Osman Asif Malik
rBahadur: efficient simulation of structured high-dimensional genotype data with applications to assortative mating. BMC Bioinform. 24 (1) (2023)
Vivek Bharadwaj, Osman Asif Malik, Riley Murray, Laura Grigori, Aydin Buluç, James Demmel
Fast Exact Leverage Score Sampling from Khatri-Rao Products with Applications to Tensor Decomposition. NeurIPS (2023)
Nuojin Cheng, Osman Asif Malik, Stephen Becker, Alireza Doostan
Bi-fidelity Variational Auto-encoder for Uncertainty Quantification. CoRR (2023)
Vivek Bharadwaj, Osman Asif Malik, Riley Murray, Aydin Buluç, James Demmel
Distributed-Memory Randomized Algorithms for Sparse Tensor CP Decomposition. CoRR (2022)
Osman Asif Malik, Yiming Xu, Nuojin Cheng, Stephen Becker, Alireza Doostan, Akil Narayan
Fast Algorithms for Monotone Lower Subsets of Kronecker Least Squares Problems. CoRR (2022)
Osman Asif Malik, Vivek Bharadwaj, Riley Murray
Sampling-Based Decomposition Algorithms for Arbitrary Tensor Networks. CoRR (2022)
Osman Asif Malik
More Efficient Sampling for Tensor Decomposition With Worst-Case Guarantees. ICML (2022)
Nuojin Cheng, Osman Asif Malik, Yiming Xu, Stephen Becker, Alireza Doostan, Akil Narayan
Quadrature Sampling of Parametric Models with Bi-fidelity Boosting. CoRR (2022)
Osman Asif Malik, Shashanka Ubaru, Lior Horesh, Misha E. Kilmer, Haim Avron
Dynamic Graph Convolutional Networks Using the Tensor M-Product. SDM (2021)
Osman Asif Malik, Stephen Becker
A Sampling-Based Method for Tensor Ring Decomposition. ICML (2021)
Osman Asif Malik
More Efficient Sampling for Tensor Decomposition. CoRR (2021)
Osman Asif Malik, Venkatalakshmi Vyjayanthi Narumanchi, Stephen Becker, Todd W. Murray
Superresolution Photoacoustic Tomography Using Random Speckle Illumination and Second Order Moments. WASPAA (2021)
Osman Asif Malik, Stephen Becker
Randomization of approximate bilinear computation for matrix multiplication. Int. J. Comput. Math. Comput. Syst. Theory 6 (1) (2021)
Osman Asif Malik, Stephen Becker
Fast randomized matrix and tensor interpolative decomposition using CountSketch. Adv. Comput. Math. 46 (6) (2020)
Osman Asif Malik, Stephen Becker
A Sampling Based Method for Tensor Ring Decomposition. CoRR (2020)
Osman Asif Malik, Hayato Ushijima-Mwesigwa, Arnab Roy, Avradip Mandal, Indradeep Ghosh
Binary Matrix Factorization on Special Purpose Hardware. CoRR (2020)
Osman Asif Malik, Stephen Becker
Fast Randomized Matrix and Tensor Interpolative Decomposition Using CountSketch. CoRR (2019)
Osman Asif Malik, Shashanka Ubaru, Lior Horesh, Misha E. Kilmer, Haim Avron
Tensor Graph Convolutional Networks for Prediction on Dynamic Graphs. CoRR (2019)
Osman Asif Malik, Stephen Becker
Guarantees for the Kronecker Fast Johnson-Lindenstrauss Transform Using a Coherence and Sampling Argument. CoRR (2019)
Osman Asif Malik, Stephen Becker
Randomization of Approximate Bilinear Computation for Matrix Multiplication. CoRR (2019)
Osman Asif Malik, Stephen Becker
Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch. NeurIPS (2018)