New subclasses of block H-matrices with applications to parallel decomposition-type relaxation methods. - Ljiljana Cvetkovic; Vladimir Kostic (Numer. Algorithms, 2006)

A note on the convergence of the AOR method. - Ljiljana Cvetkovic; Vladimir Kostic (Appl. Math. Comput., 2007)

Further results on H-matrices and their Schur complements. - Ljiljana Cvetkovic; Vladimir Kostic; Maja Kovacevic; Tomasz Szulc (Appl. Math. Comput., 2008)

A new subclass of H-matrices. - Ljiljana Cvetkovic; Vladimir Kostic; Sonja Rauski (Appl. Math. Comput., 2009)

Geršgorin-type localizations of generalized eigenvalues. - Vladimir Kostic; Ljiljana Cvetkovic; Richard S. Varga (Numer. Linear Algebra Appl., 2009)

A simple generalization of Geršgorin's theorem. - Ljiljana Cvetkovic; Vladimir Kostic; Rafael Bru; Francisco Pedroche (Adv. Comput. Math., 2011)

Eigenvalue Localization Refinements for Matrices Related to Positivity. - Ljiljana Cvetkovic; Vladimir Kostic; Juan Manuel Peña 001 (SIAM J. Matrix Anal. Appl., 2011)

Application of generalized diagonal dominance in wireless sensor network optimization problems. - Ljiljana Cvetkovic; Vladimir Kostic (Appl. Math. Comput., 2012)

Max-norm bounds for the inverse of S-Nekrasov matrices. - Ljiljana Cvetkovic; Vladimir Kostic; Ksenija Doroslovacki (Appl. Math. Comput., 2012)

Localization of generalized eigenvalues by Cartesian ovals. - Vladimir Kostic; Richard S. Varga; Ljiljana Cvetkovic (Numer. Linear Algebra Appl., 2012)

Spectrum localizations for matrix operators on IP spaces. - J. Aleksic; Vladimir Kostic; Milica Zigic (Appl. Math. Comput., 2014)

On the choice of parameters in MAOR type splitting methods for the linear complementarity problem. - Ljiljana Cvetkovic; Apostolos Hadjidimos; Vladimir Kostic (Numer. Algorithms, 2014)

A note on the convergence of the MSMAOR method for linear complementarity problems. - Ljiljana Cvetkovic; Vladimir Kostic (Numer. Linear Algebra Appl., 2014)

On general principles of eigenvalue localizations via diagonal dominance. - Vladimir Kostic (Adv. Comput. Math., 2015)

Stability analysis of turbulent heat exchange over the heterogeneous environmental interface in climate models. - Dragutin T. Mihailovic; Vladimir Kostic; Gordan Mimic; Ljiljana Cvetkovic (Appl. Math. Comput., 2015)

On Matrix Nearness Problems: Distance to Delocalization. - Vladimir R. Kostic; Agnieszka Miedlar; Jeroen J. Stolwijk (SIAM J. Matrix Anal. Appl., 2015)

Euclidean norm estimates of the inverse of some special block matrices. - Ljiljana Cvetkovic; Vladimir Kostic; Ksenija Doroslovacki; Dragana Lj. Cvetkovic (Appl. Math. Comput., 2016)

A wider convergence area for the MSTMAOR iteration methods for LCP. - Ljiljana Cvetkovic; Vladimir Kostic; Ernest Sanca (Numer. Algorithms, 2016)

Pseudospectra localizations and their applications. - Vladimir R. Kostic; Ljiljana Cvetkovic; Dragana Lj. Cvetkovic (Numer. Linear Algebra Appl., 2016)

An algorithm for computing minimal Geršgorin sets. - Vladimir R. Kostic; Agnieszka Miedlar; Ljiljana Cvetkovic (Numer. Linear Algebra Appl., 2016)

On the inertia of the block H-matrices. - Vladimir Kostic; Ljiljana Cvetkovic (Numer. Linear Algebra Appl., 2017)

On the Geršgorin-type localizations for nonlinear eigenvalue problems. - Vladimir Kostic; Dragana Gardasevic (Appl. Math. Comput., 2018)

New pseudospectra localizations with application in ecology and vibration analysis. - Dragana Lj. Cvetkovic; Ljiljana Cvetkovic; Vladimir R. Kostic (CCWC, 2019)

Convergence of Batch Greenkhorn for Regularized Multimarginal Optimal Transport. - Vladimir Kostic; Saverio Salzo; Massimiliano Pontil (CoRR, 2021)

From pseudospectra of diagonal blocks to pseudospectrum of a full matrix. - Vladimir R. Kostic; Ljiljana Cvetkovic; Ernest Sanca (J. Comput. Appl. Math., 2021)

Batch Greenkhorn Algorithm for Entropic-Regularized Multimarginal Optimal Transport: Linear Rate of Convergence and Iteration Complexity. - Vladimir R. Kostic; Saverio Salzo; Massimiliano Pontil (ICML, 2022)

Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces. - Vladimir Kostic; Pietro Novelli; Andreas Maurer; Carlo Ciliberto; Lorenzo Rosasco; Massimiliano Pontil (NeurIPS, 2022)

Evaluation of vibrodiagnostic optimization model for turbo pumps. - Milos Milovancevic; Nebojsa Denic; Ljubomir Vracar; Nenad Kojic; Vladimir Kostic; Srecko Bacevac (Adv. Eng. Softw., 2022)

Sharp Spectral Rates for Koopman Operator Learning. - Vladimir Kostic; Karim Lounici; Pietro Novelli; Massimiliano Pontil (NeurIPS, 2023)

Estimating Koopman operators with sketching to provably learn large scale dynamical systems. - Giacomo Meanti; Antoine Chatalic; Vladimir Kostic; Pietro Novelli; Massimiliano Pontil; Lorenzo Rosasco (NeurIPS, 2023)

Koopman Operator Learning: Sharp Spectral Rates and Spurious Eigenvalues. - Vladimir Kostic; Karim Lounici; Pietro Novelli; Massimiliano Pontil (CoRR, 2023)

Deep projection networks for learning time-homogeneous dynamical systems. - Vladimir R. Kostic; Pietro Novelli; Riccardo Grazzi; Karim Lounici; Massimiliano Pontil (CoRR, 2023)

A randomized algorithm to solve reduced rank operator regression. - Giacomo Turri; Vladimir Kostic; Pietro Novelli; Massimiliano Pontil (CoRR, 2023)

The method of randomized Bregman projections for stochastic feasibility problems. - Vladimir R. Kostic; Saverio Salzo (Numer. Algorithms, 2023)

Correlation-Comparison Analysis as a New Way of Data-Mining: Application to Neural Data. - Ivan Grbatinic; Bojana Krstonosic; Dragana Srebro; Nemanja Puric; Marija Dubak; Vladan Dusanic; Vladimir Kostic; Nebojsa T. Milosevic (SN Comput. Sci., 2023)

Learning invariant representations of time-homogeneous stochastic dynamical systems. - Vladimir R. Kostic; Pietro Novelli; Riccardo Grazzi; Karim Lounici; Massimiliano Pontil (ICLR, 2024)

Consistent Long-Term Forecasting of Ergodic Dynamical Systems. - Vladimir R. Kostic; Karim Lounici; Prune Inzerilli; Pietro Novelli; Massimiliano Pontil (ICML, 2024)

Dynamics harmonic analysis of robotic systems: Application in data-driven Koopman modelling. - Daniel Felipe Ordoñez Apraez; Vladimir Kostic; Giulio Turrisi; Pietro Novelli; Carlos Mastalli; Claudio Semini; Massimiliano Pontil (L4DC, 2024)

From Biased to Unbiased Dynamics: An Infinitesimal Generator Approach. - Timothée Devergne; Vladimir Kostic; Michele Parrinello; Massimiliano Pontil (NeurIPS, 2024)

Learning the Infinitesimal Generator of Stochastic Diffusion Processes. - Vladimir Kostic; Hélène Halconruy; Timothée Devergne; Karim Lounici; Massimiliano Pontil (NeurIPS, 2024)

Neural Conditional Probability for Uncertainty Quantification. - Vladimir Kostic; Grégoire Pacreau; Giacomo Turri; Pietro Novelli; Karim Lounici; Massimiliano Pontil (NeurIPS, 2024)

Morphological Symmetries in Robotics. - Daniel Felipe Ordoñez Apraez; Giulio Turrisi; Vladimir Kostic; Mario Martín; Antonio Agudo; Francesc Moreno-Noguer; Massimiliano Pontil; Claudio Semini; Carlos Mastalli (CoRR, 2024)

Neural Conditional Probability for Inference. - Vladimir R. Kostic; Karim Lounici; Grégoire Pacreau; Pietro Novelli; Giacomo Turri; Massimiliano Pontil (CoRR, 2024)

Laplace Transform Based Low-Complexity Learning of Continuous Markov Semigroups. - Vladimir R. Kostic; Karim Lounici; Hélène Halconruy; Timothee Devergne; Pietro Novelli; Massimiliano Pontil (CoRR, 2024)

QuantFormer: Learning to Quantize for Neural Activity Forecasting in Mouse Visual Cortex. - Salvatore Calcagno 002; Isaak Kavasidis; Simone Palazzo; Marco Brondi; Luca Sità; Giacomo Turri; Daniela Giordano; Vladimir R. Kostic; Tommaso Fellin; Massimiliano Pontil; Concetto Spampinato (CoRR, 2024)

An Empirical Bernstein Inequality for Dependent Data in Hilbert Spaces and Applications. - Erfan Mirzaei; Andreas Maurer; Vladimir R. Kostic; Massimiliano Pontil (AISTATS, 2025)

Equivariant Representation Learning for Symmetry-Aware Inference with Guarantees. - Daniel Felipe Ordoñez Apraez; Vladimir Kostic; Alek Fröhlich; Vivien Brandt; Karim Lounici; Massimiliano Pontil (CoRR, 2025)

Demystifying Spectral Feature Learning for Instrumental Variable Regression. - Dimitri Meunier; Antoine Moulin; Jakub Wornbard; Vladimir R. Kostic; Arthur Gretton (CoRR, 2025)