Osman Asif Malik

Orcid: 0000-0003-4477-481X

According to our database1, Osman Asif Malik authored at least 23 papers between 2018 and 2024.

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Bibliography

2024
Subsampling of Parametric Models with Bifidelity Boosting.
SIAM/ASA J. Uncertain. Quantification, 2024

Learning Physics for Unveiling Hidden Earthquake Ground Motions via Conditional Generative Modeling.
CoRR, 2024

Efficient Leverage Score Sampling for Tensor Train Decomposition.
CoRR, 2024

Distributed-Memory Randomized Algorithms for Sparse Tensor CP Decomposition.
Proceedings of the 36th ACM Symposium on Parallelism in Algorithms and Architectures, 2024

2023
rBahadur: efficient simulation of structured high-dimensional genotype data with applications to assortative mating.
BMC Bioinform., December, 2023

Bi-fidelity Variational Auto-encoder for Uncertainty Quantification.
CoRR, 2023

Randomized Numerical Linear Algebra : A Perspective on the Field With an Eye to Software.
CoRR, 2023

Construction of Hierarchically Semi-Separable matrix Representation using Adaptive Johnson-Lindenstrauss Sketching.
CoRR, 2023

Fast Exact Leverage Score Sampling from Khatri-Rao Products with Applications to Tensor Decomposition.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Sampling-Based Decomposition Algorithms for Arbitrary Tensor Networks.
CoRR, 2022

Quadrature Sampling of Parametric Models with Bi-fidelity Boosting.
CoRR, 2022

Fast Algorithms for Monotone Lower Subsets of Kronecker Least Squares Problems.
CoRR, 2022

More Efficient Sampling for Tensor Decomposition With Worst-Case Guarantees.
Proceedings of the International Conference on Machine Learning, 2022

2021
Randomization of approximate bilinear computation for matrix multiplication.
Int. J. Comput. Math. Comput. Syst. Theory, 2021

More Efficient Sampling for Tensor Decomposition.
CoRR, 2021

Superresolution Photoacoustic Tomography Using Random Speckle Illumination and Second Order Moments.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2021

Dynamic Graph Convolutional Networks Using the Tensor M-Product.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

A Sampling-Based Method for Tensor Ring Decomposition.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Binary Matrix Factorization on Special Purpose Hardware.
CoRR, 2020

Fast randomized matrix and tensor interpolative decomposition using CountSketch.
Adv. Comput. Math., 2020

2019
Guarantees for the Kronecker Fast Johnson-Lindenstrauss Transform Using a Coherence and Sampling Argument.
CoRR, 2019

Tensor Graph Convolutional Networks for Prediction on Dynamic Graphs.
CoRR, 2019

2018
Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018


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