Vasileios Kalantzis

36 papers A* 3A 2Misc 2Journal 25Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Decoder-based Sense Knowledge Distillation.
CoRR
Qitong Wang, Mohammed J. Zaki, Georgios Kollias, Vasileios Kalantzis
2025 — conf
Multi-Sense Embeddings for Language Models and Knowledge Distillation.
ACL (Findings)
Qitong Wang, Mohammed J. Zaki, Georgios Kollias, Vasileios Kalantzis
2025 J jnl
Multi-Sense Embeddings for Language Models and Knowledge Distillation.
CoRR
Qitong Wang, Mohammed J. Zaki, Georgios Kollias, Vasileios Kalantzis
2025 J jnl
On Mixed-Precision Iterative Methods and Analysis for Nearly Completely Decomposable Markov Processes.
CoRR
Vasileios Kalantzis, Mark S. Squillante, Chai Wah Wu
2025 J jnl
On the variance of Schatten
Monte Carlo Methods Appl.
Lior Horesh, Vasileios Kalantzis, Yingdong Lu, Tomasz Nowicki
2025 — conf
Stable Iterative Solvers for Ill-Conditioned Linear Systems and Least Squares.
HPEC
Vasileios Kalantzis, Mark S. Squillante, Chai Wah Wu
2025 J jnl
Stable Iterative Solvers for Ill-conditioned Linear Systems.
CoRR
Vasileios Kalantzis, Mark S. Squillante, Chai Wah Wu
2024 J jnl
A Parallel Algorithm for Computing Partial Spectral Factorizations of Matrix Pencils via Chebyshev Approximation.
SIAM J. Sci. Comput.
Tianshi Xu, Anthony P. Austin, Vasileios Kalantzis, Yousef Saad
2024 A conf
Asynchronous Randomized Trace Estimation.
AISTATS
Vasileios Kalantzis, Shashanka Ubaru, Chai Wah Wu, Georgios Kollias, Lior Horesh
2024 J jnl
Directed Graph Transformers.
Trans. Mach. Learn. Res.
Qitong Wang, Georgios Kollias, Vasileios Kalantzis, Naoki Abe, Mohammed J. Zaki
2024 J jnl
On Quantum Algorithms for Efficient Solutions of General Classes of Structured Markov Processes.
CoRR
Vasileios Kalantzis, Mark S. Squillante, Shashanka Ubaru
2024 J jnl
On Quantum Algorithms for Efficient Solutions of General Classes of Structured Markov Processes.
SIGMETRICS Perform. Evaluation Rev.
Vasileios Kalantzis, Mark S. Squillante, Shashanka Ubaru
2024 J jnl
On The Variance of Schatten
CoRR
Lior Horesh, Vasileios Kalantzis, Yingdong Lu, Tomasz Nowicki
2024 A* conf
Topological data analysis on noisy quantum computers.
ICLR
Ismail Yunus Akhalwaya, Shashanka Ubaru, Kenneth L. Clarkson, Mark S. Squillante, Vishnu Jejjala, Yang-Hui He, Kugendran Naidoo, Vasileios Kalantzis, Lior Horesh
2023 Misc conf
Matrix Resolvent Eigenembeddings for Dynamic Graphs.
ICASSP
Vasileios Kalantzis, Panagiotis A. Traganitis
2023 Misc conf
Rayleigh-Ritz Based Updates of the Multilinear Singular Value Decomposition.
ACSSC
Vasileios Kalantzis, Panagiotis A. Traganitis
2023 — conf
Solving Sparse Linear Systems via Flexible GMRES with In-Memory Analog Preconditioning.
HPEC
Vasileios Kalantzis, Mark S. Squillante, Chai Wah Wu, Anshul Gupta, Shashanka Ubaru, Tayfun Gokmen, Lior Horesh
2023 J jnl
Stable iterative refinement algorithms for solving linear systems.
CoRR
Chai Wah Wu, Mark S. Squillante, Vasileios Kalantzis, Lior Horesh
2022 A* conf
Directed Graph Auto-Encoders.
AAAI
Georgios Kollias, Vasileios Kalantzis, Tsuyoshi Idé, Aurélie C. Lozano, Naoki Abe
2022 J jnl
Directed Graph Auto-Encoders.
CoRR
Georgios Kollias, Vasileios Kalantzis, Tsuyoshi Idé, Aurélie C. Lozano, Naoki Abe
2022 J jnl
On Quantum Algorithms for Random Walks in the Nonnegative Quarter Plane.
SIGMETRICS Perform. Evaluation Rev.
Vasileios Kalantzis, Mark S. Squillante, Shashanka Ubaru, Lior Horesh
2022 J jnl
PCENet: High Dimensional Surrogate Modeling for Learning Uncertainty.
CoRR
Paz Fink Shustin, Shashanka Ubaru, Vasileios Kalantzis, Lior Horesh, Haim Avron
2022 J jnl
Towards Quantum Advantage on Noisy Quantum Computers.
CoRR
Ismail Yunus Akhalwaya, Shashanka Ubaru, Kenneth L. Clarkson, Mark S. Squillante, Vishnu Jejjala, Yang-Hui He, Kugendran Naidoo, Vasileios Kalantzis, Lior Horesh
2021 A* conf
Projection techniques to update the truncated SVD of evolving matrices with applications.
ICML
Vasileios Kalantzis, Georgios Kollias, Shashanka Ubaru, Athanasios N. Nikolakopoulos, Lior Horesh, Kenneth L. Clarkson
2021 — conf
Solving sparse linear systems with approximate inverse preconditioners on analog devices.
HPEC
Vasileios Kalantzis, Anshul Gupta, Lior Horesh, Tomasz Nowicki, Mark S. Squillante, Chai Wah Wu, Tayfun Gokmen, Haim Avron
2021 J jnl
Solving sparse linear systems with approximate inverse preconditioners on analog devices.
CoRR
Vasileios Kalantzis, Anshul Gupta, Lior Horesh, Tomasz Nowicki, Mark S. Squillante, Chai Wah Wu
2018 J jnl
Anonymity: from Plato to Tor.
XRDS
Vasileios Kalantzis
2018 J jnl
Do digital computers dream?
XRDS
Vasileios Kalantzis
2018 J jnl
Personalizing health care.
XRDS
Vasileios Kalantzis
2018 J jnl
The CS generation.
XRDS
Vasileios Kalantzis
2018 J jnl
The hype of big thinking.
XRDS
Vasileios Kalantzis
2017 J jnl
Data analytics, accelerators, and supercomputing: the challenges and future of MPI.
XRDS
Vasileios Kalantzis
2017 J jnl
Equality through digital technology.
XRDS
Vasileios Kalantzis
2017 J jnl
Gamification and customer loyalty.
XRDS
Vasileios Kalantzis
2017 J jnl
How startups changed the way we do science.
XRDS
Vasileios Kalantzis
2016 A conf
PFEAST: a high performance sparse eigenvalue solver using distributed-memory linear solvers.
SC
James Kestyn, Vasileios Kalantzis, Eric Polizzi, Yousef Saad