Osman Asif Malik

According to our database, Osman Asif Malik authored at least 20 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

rBahadur: efficient simulation of structured high-dimensional genotype data with applications to assortative mating.

Richard Border, Osman Asif Malik

BMC Bioinform., December, 2023

Bi-fidelity Variational Auto-encoder for Uncertainty Quantification.

Nuojin Cheng, Osman Asif Malik, Stephen Becker, Alireza Doostan

CoRR, 2023

Randomized Numerical Linear Algebra : A Perspective on the Field With an Eye to Software.

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

CoRR, 2023

Construction of Hierarchically Semi-Separable matrix Representation using Adaptive Johnson-Lindenstrauss Sketching.

Yotam Yaniv, Osman Asif Malik, Pieter Ghysels, Xiaoye S. Li

CoRR, 2023

Fast Exact Leverage Score Sampling from Khatri-Rao Products with Applications to Tensor Decomposition.

Vivek Bharadwaj, Osman Asif Malik, Riley Murray, Laura Grigori, Aydin Buluç, James Demmel

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Distributed-Memory Randomized Algorithms for Sparse Tensor CP Decomposition.

Vivek Bharadwaj, Osman Asif Malik, Riley Murray, Aydin Buluç, James Demmel

CoRR, 2022

Sampling-Based Decomposition Algorithms for Arbitrary Tensor Networks.

Osman Asif Malik, Vivek Bharadwaj, Riley Murray

CoRR, 2022

Quadrature Sampling of Parametric Models with Bi-fidelity Boosting.

Nuojin Cheng, Osman Asif Malik, Yiming Xu, Stephen Becker, Alireza Doostan, Akil Narayan

CoRR, 2022

Fast Algorithms for Monotone Lower Subsets of Kronecker Least Squares Problems.

Osman Asif Malik, Yiming Xu, Nuojin Cheng, Stephen Becker, Alireza Doostan, Akil Narayan

CoRR, 2022

More Efficient Sampling for Tensor Decomposition With Worst-Case Guarantees.

Osman Asif Malik

Proceedings of the International Conference on Machine Learning, 2022

2021

Randomization of approximate bilinear computation for matrix multiplication.

Osman Asif Malik, Stephen Becker

Int. J. Comput. Math. Comput. Syst. Theory, 2021

More Efficient Sampling for Tensor Decomposition.

Osman Asif Malik

CoRR, 2021

Superresolution Photoacoustic Tomography Using Random Speckle Illumination and Second Order Moments.

Osman Asif Malik, Venkatalakshmi Vyjayanthi Narumanchi, Stephen Becker, Todd W. Murray

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2021

Dynamic Graph Convolutional Networks Using the Tensor M-Product.

Osman Asif Malik, Shashanka Ubaru, Lior Horesh, Misha E. Kilmer, Haim Avron

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

A Sampling-Based Method for Tensor Ring Decomposition.

Osman Asif Malik, Stephen Becker

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Binary Matrix Factorization on Special Purpose Hardware.

Osman Asif Malik, Hayato Ushijima-Mwesigwa, Arnab Roy, Avradip Mandal, Indradeep Ghosh

CoRR, 2020

Fast randomized matrix and tensor interpolative decomposition using CountSketch.

Osman Asif Malik, Stephen Becker

Adv. Comput. Math., 2020

2019

Guarantees for the Kronecker Fast Johnson-Lindenstrauss Transform Using a Coherence and Sampling Argument.

Osman Asif Malik, Stephen Becker

CoRR, 2019

Tensor Graph Convolutional Networks for Prediction on Dynamic Graphs.

Osman Asif Malik, Shashanka Ubaru, Lior Horesh, Misha E. Kilmer, Haim Avron

CoRR, 2019

2018

Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch.

Osman Asif Malik, Stephen Becker

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018