PFEAST: a high performance sparse eigenvalue solver using distributed-memory linear solvers. - James Kestyn; Vasileios Kalantzis; Eric Polizzi; Yousef Saad (SC, 2016)

Data analytics, accelerators, and supercomputing: the challenges and future of MPI. - Vasileios Kalantzis (XRDS, 2017)

How startups changed the way we do science. - Vasileios Kalantzis (XRDS, 2017)

Gamification and customer loyalty. - Vasileios Kalantzis (XRDS, 2017)

Equality through digital technology. - Vasileios Kalantzis (XRDS, 2017)

Do digital computers dream? - Vasileios Kalantzis (XRDS, 2018)

Anonymity: from Plato to Tor. - Vasileios Kalantzis (XRDS, 2018)

The CS generation. - Vasileios Kalantzis (XRDS, 2018)

Personalizing health care. - Vasileios Kalantzis (XRDS, 2018)

The hype of big thinking. - Vasileios Kalantzis (XRDS, 2018)

Solving sparse linear systems with approximate inverse preconditioners on analog devices. - Vasileios Kalantzis; Anshul Gupta; Lior Horesh; Tomasz Nowicki; Mark S. Squillante; Chai Wah Wu; Tayfun Gokmen; Haim Avron (HPEC, 2021)

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 (ICML, 2021)

Solving sparse linear systems with approximate inverse preconditioners on analog devices. - Vasileios Kalantzis; Anshul Gupta; Lior Horesh; Tomasz Nowicki; Mark S. Squillante; Chai Wah Wu (CoRR, 2021)

Directed Graph Auto-Encoders. - Georgios Kollias; Vasileios Kalantzis; Tsuyoshi Idé; Aurélie C. Lozano; Naoki Abe (AAAI, 2022)

PCENet: High Dimensional Surrogate Modeling for Learning Uncertainty. - Paz Fink Shustin; Shashanka Ubaru; Vasileios Kalantzis; Lior Horesh; Haim Avron (CoRR, 2022)

Towards Quantum Advantage 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 (CoRR, 2022)

On Quantum Algorithms for Random Walks in the Nonnegative Quarter Plane. - Vasileios Kalantzis; Mark S. Squillante; Shashanka Ubaru; Lior Horesh (SIGMETRICS Perform. Evaluation Rev., 2022)

Rayleigh-Ritz Based Updates of the Multilinear Singular Value Decomposition. - Vasileios Kalantzis; Panagiotis A. Traganitis (ACSSC, 2023)

Solving Sparse Linear Systems via Flexible GMRES with In-Memory Analog Preconditioning. - Vasileios Kalantzis; Mark S. Squillante; Chai Wah Wu; Anshul Gupta; Shashanka Ubaru; Tayfun Gokmen; Lior Horesh (HPEC, 2023)

Matrix Resolvent Eigenembeddings for Dynamic Graphs. - Vasileios Kalantzis; Panagiotis A. Traganitis (ICASSP, 2023)

Stable iterative refinement algorithms for solving linear systems. - Chai Wah Wu; Mark S. Squillante; Vasileios Kalantzis; Lior Horesh (CoRR, 2023)

Asynchronous Randomized Trace Estimation. - Vasileios Kalantzis; Shashanka Ubaru; Chai Wah Wu; Georgios Kollias; Lior Horesh (AISTATS, 2024)

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 (ICLR, 2024)

A Parallel Algorithm for Computing Partial Spectral Factorizations of Matrix Pencils via Chebyshev Approximation. - Tianshi Xu; Anthony P. Austin; Vasileios Kalantzis; Yousef Saad (SIAM J. Sci. Comput., 2024)

On Quantum Algorithms for Efficient Solutions of General Classes of Structured Markov Processes. - Vasileios Kalantzis; Mark S. Squillante; Shashanka Ubaru (SIGMETRICS Perform. Evaluation Rev., 2024)

Directed Graph Transformers. - Qitong Wang 004; Georgios Kollias; Vasileios Kalantzis; Naoki Abe; Mohammed J. Zaki (Trans. Mach. Learn. Res., 2024)

Multi-Sense Embeddings for Language Models and Knowledge Distillation. - Qitong Wang 004; Mohammed J. Zaki; Georgios Kollias; Vasileios Kalantzis (ACL (Findings), 2025)

On the variance of Schatten p-norm estimation with Gaussian sketching matrices. - Lior Horesh; Vasileios Kalantzis; Yingdong Lu; Tomasz Nowicki (Monte Carlo Methods Appl., 2025)

On Mixed-Precision Iterative Methods and Analysis for Nearly Completely Decomposable Markov Processes. - Vasileios Kalantzis; Mark S. Squillante; Chai Wah Wu (CoRR, 2025)

Stable Iterative Solvers for Ill-conditioned Linear Systems. - Vasileios Kalantzis; Mark S. Squillante; Chai Wah Wu (CoRR, 2025)