Accelerating data uncertainty quantification by solving linear systems with multiple right-hand sides. - Vassilis Kalantzis; Constantine Bekas; Alessandro Curioni; Efstratios Gallopoulos (Numer. Algorithms, 2013)

EIGENREC: An Efficient and Scalable Latent Factor Family for Top-N Recommendation. - Athanasios N. Nikolakopoulos; Vassilis Kalantzis; John D. Garofalakis (CoRR, 2015)

Fortifying computing in student societies: A focus on outreach initiatives. - Vassilis Kalantzis (XRDS, 2015)

Estimating the trace of the matrix inverse by interpolating from the diagonal of an approximate inverse. - Lingfei Wu 001; Jesse Laeuchli; Vassilis Kalantzis; Andreas Stathopoulos; Efstratios Gallopoulos (J. Comput. Phys., 2016)

Factored Proximity Models for Top-N Recommendations. - Athanasios N. Nikolakopoulos; Vassilis Kalantzis; Efstratios Gallopoulos; John D. Garofalakis (ICBK, 2017)

Cucheb: A GPU implementation of the filtered Lanczos procedure. - Jared Lee Aurentz; Vassilis Kalantzis; Yousef Saad (Comput. Phys. Commun., 2017)

Domain decomposition approaches for accelerating contour integration eigenvalue solvers for symmetric eigenvalue problems. - Vassilis Kalantzis; James Kestyn; Eric Polizzi; Yousef Saad (Numer. Linear Algebra Appl., 2018)

A scalable iterative dense linear system solver for multiple right-hand sides in data analytics. - Vassilis Kalantzis; A. Cristiano I. Malossi; Costas Bekas; Alessandro Curioni; Efstratios Gallopoulos; Yousef Saad (Parallel Comput., 2018)

A Hierarchical Low Rank Schur Complement Preconditioner for Indefinite Linear Systems. - Geoffrey Dillon; Vassilis Kalantzis; Yuanzhe Xi; Yousef Saad (SIAM J. Sci. Comput., 2018)

Beyond Automated Multilevel Substructuring: Domain Decomposition with Rational Filtering. - Vassilis Kalantzis; Yuanzhe Xi; Yousef Saad (SIAM J. Sci. Comput., 2018)

TeraPCA: a fast and scalable software package to study genetic variation in tera-scale genotypes. - Aritra Bose; Vassilis Kalantzis; Eugenia-Maria Kontopoulou; Mai Elkady; Peristera Paschou; Petros Drineas (Bioinform., 2019)

EigenRec: generalizing PureSVD for effective and efficient top-N recommendations. - Athanasios N. Nikolakopoulos; Vassilis Kalantzis; Efstratios Gallopoulos; John D. Garofalakis (Knowl. Inf. Syst., 2019)

Stable Computation of Generalized Matrix Functions via Polynomial Interpolation. - Jared Lee Aurentz; Anthony P. Austin; Michele Benzi; Vassilis Kalantzis (SIAM J. Matrix Anal. Appl., 2019)

Projection techniques to update the truncated SVD of evolving matrices. - Vassilis Kalantzis; Georgios Kollias; Shashanka Ubaru; Athanasios N. Nikolakopoulos; Lior Horesh; Kenneth L. Clarkson (CoRR, 2020)

A Domain Decomposition Rayleigh-Ritz Algorithm for Symmetric Generalized Eigenvalue Problems. - Vassilis Kalantzis (SIAM J. Sci. Comput., 2020)

Sparse Graph Based Sketching for Fast Numerical Linear Algebra. - Dong Hu; Shashanka Ubaru; Alex Gittens; Kenneth L. Clarkson; Lior Horesh; Vassilis Kalantzis (ICASSP, 2021)

Fast randomized non-Hermitian eigensolver based on rational filtering and matrix partitioning. - Vassilis Kalantzis; Yuanzhe Xi; Lior Horesh (CoRR, 2021)

Fast Randomized Non-Hermitian Eigensolvers Based on Rational Filtering and Matrix Partitioning. - Vassilis Kalantzis; Yuanzhe Xi; Lior Horesh (SIAM J. Sci. Comput., 2021)

parGeMSLR: A parallel multilevel Schur complement low-rank preconditioning and solution package for general sparse matrices. - Tianshi Xu; Vassilis Kalantzis; Ruipeng Li; Yuanzhe Xi; Geoffrey Dillon; Yousef Saad (Parallel Comput., 2022)

Accelerating Matrix Trace Estimation by Aitken's Δ2 Process. - Vassilis Kalantzis; Georgios Kollias; Shashanka Ubaru; Theodoros Salonidis (ICASSP, 2023)

Quantum Graph Transformers. - Georgios Kollias; Vassilis Kalantzis; Theodoros Salonidis; Shashanka Ubaru (ICASSP, 2023)

Enhanced algebraic substructuring for symmetric generalized eigenvalue problems. - Vassilis Kalantzis; Lior Horesh (Numer. Linear Algebra Appl., 2023)

Online Canonical Correlation Analysis via Rayleigh-Ritz Projections. - Vassilis Kalantzis; Panagiotis A. Traganitis; Charilaos I. Kanatsoulis (IEEECONF, 2024)

Counting Triangles of Graphs via Matrix Partitioning. - Georgios Kollias; Vassilis Kalantzis; Lior Horesh; Shashanka Ubaru; Panagiotis A. Traganitis (MLSP, 2024)

Single-pass top-N subgraph centrality of graphs via subspace projections. - Vassilis Kalantzis; Georgios Kollias; Shashanka Ubaru; Naoki Abe; Lior Horesh (J. Complex Networks, 2024)

Multi-Function Multi-Way Analog Technology for Sustainable Machine Intelligence Computation. - Vassilis Kalantzis; Mark S. Squillante; Shashanka Ubaru; Tayfun Gokmen; Chai Wah Wu; Anshul Gupta; Haim Avron; Tomasz Nowicki; Malte J. Rasch; O. Murat Onen; Vanessa López-Marrero; Effendi Leobandung; et al. (CoRR, 2024)

Randomized linear solvers for computational architectures with straggling workers. - Vassilis Kalantzis; Yuanzhe Xi; Lior Horesh; Yousef Saad (CoRR, 2024)

Regenerative Ulam-von Neumann Algorithm: An Innovative Markov chain Monte Carlo Method for Matrix Inversion. - Soumyadip Ghosh; Lior Horesh; Vassilis Kalantzis; Yingdong Lu; Tomasz Nowicki (CoRR, 2024)

A Rational Filtering Algorithm for Sequences of Shifted Symmetric Linear Systems with Applications to Frequency Response Analysis. - Anthony P. Austin; Lior Horesh; Vassilis Kalantzis (SIAM J. Sci. Comput., 2024)

Stable iterative refinement for solving linear systems with inaccurate computation. - Chai Wah Wu; Mark S. Squillante; Vassilis Kalantzis; Lior Horesh (J. Comput. Appl. Math., 2026)