Osman Asif Malik | DeepAI

DeepAI AI Chat

Featured Co-authors

Aydin Buluc
40 publications
Akil Narayan
37 publications
Lior Horesh
36 publications
Haim Avron
32 publications
Yiming Xu
31 publications
Stephen Becker
31 publications
James Demmel
23 publications
Alireza Doostan
18 publications
Shashanka Ubaru
18 publications
Arnab Roy
14 publications
Laura Grigori
11 publications

∙ 05/25/2023

Bi-fidelity Variational Auto-encoder for Uncertainty Quantification

Quantifying the uncertainty of quantities of interest (QoIs) from physic...

0 Nuojin Cheng, et al. ∙

∙ 02/03/2023

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

We extend an adaptive partially matrix-free Hierarchically Semi-Separabl...

0 Yotam Yaniv, et al. ∙

∙ 01/29/2023

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

We present a data structure to randomly sample rows from the Khatri-Rao ...

0 Vivek Bharadwaj, et al. ∙

∙ 10/11/2022

Distributed-Memory Randomized Algorithms for Sparse Tensor CP Decomposition

Low-rank Candecomp / PARAFAC (CP) Decomposition is a powerful tool for t...

0 Vivek Bharadwaj, et al. ∙

∙ 10/07/2022

Sampling-Based Decomposition Algorithms for Arbitrary Tensor Networks

We show how to develop sampling-based alternating least squares (ALS) al...

0 Osman Asif Malik, et al. ∙

∙ 09/13/2022

Quadrature Sampling of Parametric Models with Bi-fidelity Boosting

Least squares regression is a ubiquitous tool for building emulators (a....

0 Nuojin Cheng, et al. ∙

∙ 09/13/2022

Fast Algorithms for Monotone Lower Subsets of Kronecker Least Squares Problems

Approximate solutions to large least squares problems can be computed ef...

0 Osman Asif Malik, et al. ∙

∙ 10/14/2021

More Efficient Sampling for Tensor Decomposition

Recent papers have developed alternating least squares (ALS) methods for...

0 Osman Asif Malik, et al. ∙

∙ 10/17/2020

Binary Matrix Factorization on Special Purpose Hardware

Many fundamental problems in data mining can be reduced to one or more N...

0 Osman Asif Malik, et al. ∙

∙ 10/16/2020

A Sampling Based Method for Tensor Ring Decomposition

We propose a sampling based method for computing the tensor ring (TR) de...

0 Osman Asif Malik, et al. ∙

∙ 11/19/2019

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

In the recent paper [Jin, Kolda Ward, arXiv:1909.04801], it is prove...

0 Osman Asif Malik, et al. ∙

∙ 10/16/2019

Tensor Graph Convolutional Networks for Prediction on Dynamic Graphs

Many irregular domains such as social networks, financial transactions, ...

0 Osman Asif Malik, et al. ∙

∙ 05/17/2019

Randomization of Approximate Bilinear Computation for Matrix Multiplication

We present a method for randomizing a formula for bilinear computation o...

0 Osman Asif Malik, et al. ∙

∙ 01/29/2019

Fast Randomized Matrix and Tensor Interpolative Decomposition Using CountSketch

We propose a new fast randomized algorithm for interpolative decompositi...

0 Osman Asif Malik, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world