Vasileios Kalantzis

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 27

Top Topics

Iterative Refinement

Sparse Linear Systems

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)
Tianshi Xu, Anthony Austin, Vasileios Kalantzis, Yousef Saad
A Parallel Algorithm for Computing Partial Spectral Factorizations of Matrix Pencils via Chebyshev Approximation. SIAM J. Sci. Comput. 46 (2) (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)
Qitong Wang, Georgios Kollias, Vasileios Kalantzis, Naoki Abe, Mohammed J. Zaki
Directed Graph Transformers. Trans. Mach. Learn. Res. 2024 (2024)
Vasileios Kalantzis, Shashanka Ubaru, Chai Wah Wu, Georgios Kollias, Lior Horesh
Asynchronous Randomized Trace Estimation. AISTATS (2024)
Chai Wah Wu, Mark S. Squillante, Vasileios Kalantzis, Lior Horesh
Stable iterative refinement algorithms for solving linear systems. CoRR (2023)
Vasileios Kalantzis, Panagiotis A. Traganitis
Rayleigh-Ritz Based Updates of the Multilinear Singular Value Decomposition. ACSSC (2023)
Vasileios Kalantzis, Panagiotis A. Traganitis
Matrix Resolvent Eigenembeddings for Dynamic Graphs. ICASSP (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, Vasileios Kalantzis, Tsuyoshi Idé, Aurélie C. Lozano, Naoki Abe
Directed Graph Auto-Encoders. 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)
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)
Georgios Kollias, Vasileios Kalantzis, Tsuyoshi Idé, Aurélie C. Lozano, Naoki Abe
Directed Graph Auto-Encoders. AAAI (2022)
Vasileios Kalantzis, Anshul Gupta, Lior Horesh, Tomasz Nowicki, Mark S. Squillante, Chai Wah Wu
Solving sparse linear systems with approximate inverse preconditioners on analog devices. CoRR (2021)
Vasileios Kalantzis, Anshul Gupta, Lior Horesh, Tomasz Nowicki, Mark S. Squillante, Chai Wah Wu, Tayfun Gokmen, Haim Avron
Solving sparse linear systems with approximate inverse preconditioners on analog devices. HPEC (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)
Vasileios Kalantzis
Personalizing health care. XRDS 25 (2) (2018)
Vasileios Kalantzis
Do digital computers dream? XRDS 24 (3) (2018)
Vasileios Kalantzis
The hype of big thinking. XRDS 25 (2) (2018)
Vasileios Kalantzis
Anonymity: from Plato to Tor. XRDS 24 (4) (2018)
Vasileios Kalantzis
The CS generation. XRDS 25 (1) (2018)
Vasileios Kalantzis
Gamification and customer loyalty. XRDS 24 (1) (2017)
Vasileios Kalantzis
How startups changed the way we do science. XRDS 23 (4) (2017)
Vasileios Kalantzis
Data analytics, accelerators, and supercomputing: the challenges and future of MPI. XRDS 23 (3) (2017)
Vasileios Kalantzis
Equality through digital technology. XRDS 24 (2) (2017)
James Kestyn, Vasileios Kalantzis, Eric Polizzi, Yousef Saad
PFEAST: a high performance sparse eigenvalue solver using distributed-memory linear solvers. SC (2016)