Vasileios Kalantzis

According to our database1, Vasileios Kalantzis authored at least 21 papers between 2016 and 2023.

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Bibliography

2023
Stable iterative refinement algorithms for solving linear systems.
CoRR, 2023

Matrix Resolvent Eigenembeddings for Dynamic Graphs.
Proceedings of the IEEE International Conference on Acoustics, 2023

Solving Sparse Linear Systems via Flexible GMRES with In-Memory Analog Preconditioning.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

Rayleigh-Ritz Based Updates of the Multilinear Singular Value Decomposition.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022
On Quantum Algorithms for Random Walks in the Nonnegative Quarter Plane.
SIGMETRICS Perform. Evaluation Rev., August, 2022

Towards Quantum Advantage on Noisy Quantum Computers.
CoRR, 2022

PCENet: High Dimensional Surrogate Modeling for Learning Uncertainty.
CoRR, 2022

Directed Graph Auto-Encoders.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Solving sparse linear systems with approximate inverse preconditioners on analog devices.
CoRR, 2021

Projection techniques to update the truncated SVD of evolving matrices with applications.
Proceedings of the 38th International Conference on Machine Learning, 2021

Solving sparse linear systems with approximate inverse preconditioners on analog devices.
Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

2018
The hype of big thinking.
XRDS, 2018

Personalizing health care.
XRDS, 2018

The CS generation.
XRDS, 2018

Anonymity: from Plato to Tor.
XRDS, 2018

Do digital computers dream?
XRDS, 2018

2017
Equality through digital technology.
XRDS, 2017

Gamification and customer loyalty.
XRDS, 2017

How startups changed the way we do science.
XRDS, 2017

Data analytics, accelerators, and supercomputing: the challenges and future of MPI.
XRDS, 2017

2016
PFEAST: a high performance sparse eigenvalue solver using distributed-memory linear solvers.
Proceedings of the International Conference for High Performance Computing, 2016


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