Shashanka Ubaru
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
8
Active years
2015–2025
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | SC | Fast Linear Solvers via AI-Tuned Markov Chain Monte Carlo-based Matrix Inversion. | Anton Lebedev, Won Kyung Lee, Soumyadip Ghosh, Olha Ivanyshyn Yaman, Vassilis Kalantzis, Yingdong Lu, Tomasz Nowicki, Shashanka Ubaru, Lior Horesh, Vassil Alexandrov |
| 2024 | AISTATS | Asynchronous Randomized Trace Estimation. | Vasileios Kalantzis, Shashanka Ubaru, Chai Wah Wu, Georgios Kollias, Lior Horesh |
| 2024 | ICLR | Topological data analysis on noisy quantum computers. | Ismail Yunus Akhalwaya, Shashanka Ubaru, Kenneth L. Clarkson, Mark S. Squillante, Vishnu Jejjala, Yang-Hui He, Kugendran Naidoo, Vasileios Kalantzis, Lior Horesh |
| 2023 | ICASSP | Accelerating Matrix Trace Estimation by Aitken's Δ | Vassilis Kalantzis, Georgios Kollias, Shashanka Ubaru, Theodoros Salonidis |
| 2023 | ICASSP | Quantum Graph Transformers. | Georgios Kollias, Vassilis Kalantzis, Theodoros Salonidis, Shashanka Ubaru |
| 2021 | ICASSP | Sparse Graph Based Sketching for Fast Numerical Linear Algebra. | Dong Hu, Shashanka Ubaru, Alex Gittens, Kenneth L. Clarkson, Lior Horesh, Vassilis Kalantzis |
| 2021 | ICML | Analysis of stochastic Lanczos quadrature for spectrum approximation. | Tyler Chen, Thomas Trogdon, Shashanka Ubaru |
| 2021 | ICML | Projection techniques to update the truncated SVD of evolving matrices with applications. | Vasileios Kalantzis, Georgios Kollias, Shashanka Ubaru, Athanasios N. Nikolakopoulos, Lior Horesh, Kenneth L. Clarkson |
| 2021 | SC | Efficient scaling of dynamic graph neural networks. | Venkatesan T. Chakaravarthy, Shivmaran S. Pandian, Saurabh Raje, Yogish Sabharwal, Toyotaro Suzumura, Shashanka Ubaru |
| 2021 | SDM | Dynamic Graph Convolutional Networks Using the Tensor M-Product. | Osman Asif Malik, Shashanka Ubaru, Lior Horesh, Misha E. Kilmer, Haim Avron |
| 2019 | ICASSP | Spectrum-adapted Polynomial Approximation for Matrix Functions. | Li Fan, David I Shuman, Shashanka Ubaru, Yousef Saad |
| 2019 | SDM | Find the dimension that counts: Fast dimension estimation and Krylov PCA. | Shashanka Ubaru, Abd-Krim Seghouane, Yousef Saad |
| 2017 | ICML | Multilabel Classification with Group Testing and Codes. | Shashanka Ubaru, Arya Mazumdar |
| 2017 | ICMLA | UoI-NMF Cluster: A Robust Nonnegative Matrix Factorization Algorithm for Improved Parts-Based Decomposition and Reconstruction of Noisy Data. | Shashanka Ubaru, Kesheng Wu, Kristofer E. Bouchard |
| 2016 | ICML | Fast methods for estimating the Numerical rank of large matrices. | Shashanka Ubaru, Yousef Saad |
| 2016 | ISIT | Group testing schemes from low-weight codewords of BCH codes. | Shashanka Ubaru, Arya Mazumdar, Alexander Barg |
| 2015 | ICML | Low Rank Approximation using Error Correcting Coding Matrices. | Shashanka Ubaru, Arya Mazumdar, Yousef Saad |