Shashanka Ubaru

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 50

Top Topics

Polynomial Approximation

Error Correcting

Low Rank Approximation

Top Venues

Publications

Vasileios Kalantzis, Mark S. Squillante, Shashanka Ubaru
On Quantum Algorithms for Efficient Solutions of General Classes of Structured Markov Processes. CoRR (2024)
Ismail Yunus Akhalwaya, Shashanka Ubaru, Kenneth L. Clarkson, Mark S. Squillante, Vishnu Jejjala, Yang-Hui He, Kugendran Naidoo, Vasileios Kalantzis, Lior Horesh
Topological data analysis on noisy quantum computers. ICLR (2024)
Vasileios Kalantzis, Shashanka Ubaru, Chai Wah Wu, Georgios Kollias, Lior Horesh
Asynchronous Randomized Trace Estimation. AISTATS (2024)
Vassilis Kalantzis, Mark S. Squillante, Shashanka Ubaru, Tayfun Gokmen, Chai Wah Wu, Anshul Gupta, Haim Avron, Tomasz Nowicki, Malte J. Rasch, Murat Onen, Vanessa López-Marrero, Effendi Leobandung, Yasuteru Kohda, Wilfried Haensch, Lior Horesh
Multi-Function Multi-Way Analog Technology for Sustainable Machine Intelligence Computation. CoRR (2024)
Liron Mor-Yosef, Shashanka Ubaru, Lior Horesh, Haim Avron
Multivariate trace estimation using quantum state space linear algebra. CoRR (2024)
Vassilis Kalantzis, Georgios Kollias, Shashanka Ubaru, Theodoros Salonidis
Process. ICASSP (2023)
Kenneth L. Clarkson, Shashanka Ubaru, Elizabeth Yang
Capacity Analysis of Vector Symbolic Architectures. CoRR (2023)
Vasileios Kalantzis, Mark S. Squillante, Chai Wah Wu, Anshul Gupta, Shashanka Ubaru, Tayfun Gokmen, Lior Horesh
Solving Sparse Linear Systems via Flexible GMRES with In-Memory Analog Preconditioning. HPEC (2023)
Georgios Kollias, Vassilis Kalantzis, Theodoros Salonidis, Shashanka Ubaru
Quantum Graph Transformers. ICASSP (2023)
Ismail Yunus Akhalwaya, Yang-Hui He, Lior Horesh, Vishnu Jejjala, William Kirby, Kugendran Naidoo, Shashanka Ubaru
Efficient Quantum Computation of the Fermionic Boundary Operator. CoRR (2022)
Ismail Yunus Akhalwaya, Shashanka Ubaru, Kenneth L. Clarkson, Mark S. Squillante, Vishnu Jejjala, Yang-Hui He, Kugendran Naidoo, Vasileios Kalantzis, Lior Horesh
Towards Quantum Advantage on Noisy Quantum Computers. CoRR (2022)
Tyler Chen, Thomas Trogdon, Shashanka Ubaru
Randomized matrix-free quadrature for spectrum and spectral sum approximation. CoRR (2022)
Paz Fink Shustin, Shashanka Ubaru, Vasileios Kalantzis, Lior Horesh, Haim Avron
PCENet: High Dimensional Surrogate Modeling for Learning Uncertainty. CoRR (2022)
Vasileios Kalantzis, Mark S. Squillante, Shashanka Ubaru, Lior Horesh
On Quantum Algorithms for Random Walks in the Nonnegative Quarter Plane. SIGMETRICS Perform. Evaluation Rev. 50 (2) (2022)
Dong Hu, Shashanka Ubaru, Alex Gittens, Kenneth L. Clarkson, Lior Horesh, Vassilis Kalantzis
Sparse Graph Based Sketching for Fast Numerical Linear Algebra. ICASSP (2021)
Shashanka Ubaru, Lior Horesh, Guy Cohen
Dynamic graph and polynomial chaos based models for contact tracing data analysis and optimal testing prescription. J. Biomed. Informatics 122 (2021)
Osman Asif Malik, Shashanka Ubaru, Lior Horesh, Misha E. Kilmer, Haim Avron
Dynamic Graph Convolutional Networks Using the Tensor M-Product. SDM (2021)
Shashanka Ubaru, Ismail Yunus Akhalwaya, Mark S. Squillante, Kenneth L. Clarkson, Lior Horesh
Quantum Topological Data Analysis with Linear Depth and Exponential Speedup. CoRR (2021)
Tyler Chen, Thomas Trogdon, Shashanka Ubaru
Analysis of stochastic Lanczos quadrature for spectrum approximation. CoRR (2021)
Venkatesan T. Chakaravarthy, Shivmaran S. Pandian, Saurabh Raje, Yogish Sabharwal, Toyotaro Suzumura, Shashanka Ubaru
Efficient Scaling of Dynamic Graph Neural Networks. CoRR (2021)
Vasileios Kalantzis, Georgios Kollias, Shashanka Ubaru, Athanasios N. Nikolakopoulos, Lior Horesh, Kenneth L. Clarkson
Projection techniques to update the truncated SVD of evolving matrices with applications. ICML (2021)
Venkatesan T. Chakaravarthy, Shivmaran S. Pandian, Saurabh Raje, Yogish Sabharwal, Toyotaro Suzumura, Shashanka Ubaru
Efficient scaling of dynamic graph neural networks. SC (2021)
Tyler Chen, Thomas Trogdon, Shashanka Ubaru
Analysis of stochastic Lanczos quadrature for spectrum approximation. ICML (2021)
Dong Hu, Shashanka Ubaru, Alex Gittens, Kenneth L. Clarkson, Lior Horesh, Vassilis Kalantzis
Sparse graph based sketching for fast numerical linear algebra. CoRR (2021)
Shashanka Ubaru, Sanjeeb Dash, Arya Mazumdar, Oktay Günlük
Multilabel Classification by Hierarchical Partitioning and Data-dependent Grouping. NeurIPS (2020)
Shashanka Ubaru, Sanjeeb Dash, Arya Mazumdar, Oktay Günlük
Multilabel Classification by Hierarchical Partitioning and Data-dependent Grouping. CoRR (2020)
Shashanka Ubaru, Lior Horesh, Guy Cohen
Dynamic graph based epidemiological model for COVID-19 contact tracing data analysis and optimal testing prescription. CoRR (2020)
Vassilis Kalantzis, Georgios Kollias, Shashanka Ubaru, Athanasios N. Nikolakopoulos, Lior Horesh, Kenneth L. Clarkson
Projection techniques to update the truncated SVD of evolving matrices. CoRR (2020)
Tiffany Fan, David I. Shuman, Shashanka Ubaru, Yousef Saad
Spectrum-Adapted Polynomial Approximation for Matrix Functions with Applications in Graph Signal Processing. Algorithms 13 (11) (2020)
Shashanka Ubaru, Abd-Krim Seghouane, Yousef Saad
Find the dimension that counts: Fast dimension estimation and Krylov PCA. SDM (2019)
Osman Asif Malik, Shashanka Ubaru, Lior Horesh, Misha E. Kilmer, Haim Avron
Tensor Graph Convolutional Networks for Prediction on Dynamic Graphs. CoRR (2019)
Li Fan, David I Shuman, Shashanka Ubaru, Yousef Saad
Spectrum-adapted Polynomial Approximation for Matrix Functions. ICASSP (2019)
Shashanka Ubaru, Yousef Saad
Sampling and multilevel coarsening algorithms for fast matrix approximations. Numer. Linear Algebra Appl. 26 (3) (2019)
Li Fan, David I Shuman, Shashanka Ubaru, Yousef Saad
Spectrum-Adapted Polynomial Approximation for Matrix Functions. CoRR (2018)
Shashanka Ubaru, Abd-Krim Seghouane, Yousef Saad
Find the dimension that counts: Fast dimension estimation and Krylov PCA. CoRR (2018)
Anastasios Kyrillidis, Shashanka Ubaru, Georgios Kollias, Kristofer E. Bouchard
Run Procrustes, Run! On the convergence of accelerated Procrustes Flow. CoRR (2018)
Cameron Musco, Praneeth Netrapalli, Aaron Sidford, Shashanka Ubaru, David P. Woodruff
Spectrum Approximation Beyond Fast Matrix Multiplication: Algorithms and Hardness. ITCS (2018)
Shashanka Ubaru, Arya Mazumdar, Yousef Saad
Low Rank Approximation and Decomposition of Large Matrices Using Error Correcting Codes. IEEE Trans. Inf. Theory 63 (9) (2017)
Cameron Musco, Praneeth Netrapalli, Aaron Sidford, Shashanka Ubaru, David P. Woodruff
Spectrum Approximation Beyond Fast Matrix Multiplication: Algorithms and Hardness. CoRR (2017)
Shashanka Ubaru, Yousef Saad
Sampling and multilevel coarsening algorithms for fast matrix approximations. CoRR (2017)
Shashanka Ubaru, Arya Mazumdar
Multilabel Classification with Group Testing and Codes. ICML (2017)
Shashanka Ubaru, Kesheng Wu, Kristofer E. Bouchard
UoI-NMF Cluster: A Robust Nonnegative Matrix Factorization Algorithm for Improved Parts-Based Decomposition and Reconstruction of Noisy Data. ICMLA (2017)
Kristofer E. Bouchard, Alejandro F. Bujan, Farbod Roosta-Khorasani, Shashanka Ubaru, Prabhat, Antoine Snijders, Jian-Hua Mao, Edward F. Chang, Michael W. Mahoney, Sharmodeep Bhattacharyya
Union of Intersections (UoI) for Interpretable Data Driven Discovery and Prediction. NIPS (2017)
Shashanka Ubaru, Yousef Saad
Applications of Trace Estimation Techniques. HPCSE (2017)
Shashanka Ubaru, Abd-Krim Seghouane, Yousef Saad
Improving the Incoherence of a Learned Dictionary via Rank Shrinkage. Neural Comput. 29 (1) (2017)
Shashanka Ubaru, Jie Chen, Yousef Saad
Fast Estimation of tr(f(A)) via Stochastic Lanczos Quadrature. SIAM J. Matrix Anal. Appl. 38 (4) (2017)
Shashanka Ubaru, Yousef Saad, Abd-Krim Seghouane
Fast Estimation of Approximate Matrix Ranks Using Spectral Densities. Neural Comput. 29 (5) (2017)
Shashanka Ubaru, Arya Mazumdar, Alexander Barg
Group testing schemes from low-weight codewords of BCH codes. ISIT (2016)
Shashanka Ubaru, Yousef Saad
Fast methods for estimating the Numerical rank of large matrices. ICML (2016)
Shashanka Ubaru, Yousef Saad, Abd-Krim Seghouane
Fast estimation of approximate matrix ranks using spectral densities. CoRR (2016)
Shashanka Ubaru, Arya Mazumdar, Yousef Saad
Low rank approximation and decomposition of large matrices using error correcting codes. CoRR (2015)
Shashanka Ubaru, Arya Mazumdar, Yousef Saad
Low Rank Approximation using Error Correcting Coding Matrices. ICML (2015)