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Vladimir Kostic
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2020 – today
- 2024
- [c8]Vladimir R. Kostic, Pietro Novelli, Riccardo Grazzi, Karim Lounici, Massimiliano Pontil:
Learning invariant representations of time-homogeneous stochastic dynamical systems. ICLR 2024 - [c7]Vladimir R. Kostic, Karim Lounici, Prune Inzerilli, Pietro Novelli, Massimiliano Pontil:
Consistent Long-Term Forecasting of Ergodic Dynamical Systems. ICML 2024 - [c6]Daniel Felipe Ordoñez Apraez, Vladimir Kostic, Giulio Turrisi, Pietro Novelli, Carlos Mastalli, Claudio Semini, Massimiliano Pontil:
Dynamics harmonic analysis of robotic systems: Application in data-driven Koopman modelling. L4DC 2024: 1318-1329 - [i12]Daniel Felipe Ordoñez Apraez
, Giulio Turrisi, Vladimir Kostic, Mario Martín, Antonio Agudo, Francesc Moreno-Noguer, Massimiliano Pontil, Claudio Semini, Carlos Mastalli:
Morphological Symmetries in Robotics. CoRR abs/2402.15552 (2024) - [i11]Vladimir R. Kostic, Karim Lounici, Hélène Halconruy, Timothee Devergne, Massimiliano Pontil:
Learning the Infinitesimal Generator of Stochastic Diffusion Processes. CoRR abs/2405.12940 (2024) - [i10]Timothee Devergne, Vladimir Kostic, Michele Parrinello, Massimiliano Pontil:
From Biased to Unbiased Dynamics: An Infinitesimal Generator Approach. CoRR abs/2406.09028 (2024) - [i9]Vladimir R. Kostic, Karim Lounici, Grégoire Pacreau, Pietro Novelli, Giacomo Turri, Massimiliano Pontil:
Neural Conditional Probability for Inference. CoRR abs/2407.01171 (2024) - 2023
- [j26]Vladimir R. Kostic
The method of randomized Bregman projections for stochastic feasibility problems. Numer. Algorithms 93(3): 1269-1307 (2023) - [j25]Ivan Grbatinic
Correlation-Comparison Analysis as a New Way of Data-Mining: Application to Neural Data. SN Comput. Sci. 4(5): 636 (2023) - [c5]Vladimir Kostic, Karim Lounici, Pietro Novelli, Massimiliano Pontil:
Sharp Spectral Rates for Koopman Operator Learning. NeurIPS 2023 - [c4]Giacomo Meanti, Antoine Chatalic, Vladimir Kostic, Pietro Novelli, Massimiliano Pontil, Lorenzo Rosasco:
Estimating Koopman operators with sketching to provably learn large scale dynamical systems. NeurIPS 2023 - [i8]Vladimir Kostic, Karim Lounici, Pietro Novelli, Massimiliano Pontil:
Koopman Operator Learning: Sharp Spectral Rates and Spurious Eigenvalues. CoRR abs/2302.02004 (2023) - [i7]Giacomo Meanti, Antoine Chatalic, Vladimir R. Kostic, Pietro Novelli, Massimiliano Pontil, Lorenzo Rosasco:
Estimating Koopman operators with sketching to provably learn large scale dynamical systems. CoRR abs/2306.04520 (2023) - [i6]Vladimir R. Kostic, Pietro Novelli, Riccardo Grazzi, Karim Lounici, Massimiliano Pontil:
Deep projection networks for learning time-homogeneous dynamical systems. CoRR abs/2307.09912 (2023) - [i5]Daniel Felipe Ordoñez Apraez
Dynamics Harmonic Analysis of Robotic Systems: Application in Data-Driven Koopman Modelling. CoRR abs/2312.07457 (2023) - [i4]Prune Inzerilli, Vladimir Kostic, Karim Lounici, Pietro Novelli, Massimiliano Pontil:
Consistent Long-Term Forecasting of Ergodic Dynamical Systems. CoRR abs/2312.13426 (2023) - [i3]Giacomo Turri, Vladimir Kostic, Pietro Novelli, Massimiliano Pontil:
A randomized algorithm to solve reduced rank operator regression. CoRR abs/2312.17348 (2023) - 2022
- [j24]Milos Milovancevic, Nebojsa Denic, Ljubomir Vracar, Nenad Kojic, Vladimir Kostic, Srecko Bacevac:
Evaluation of vibrodiagnostic optimization model for turbo pumps. Adv. Eng. Softw. 173: 103271 (2022) - [c3]Vladimir R. Kostic, Saverio Salzo, Massimiliano Pontil:
Batch Greenkhorn Algorithm for Entropic-Regularized Multimarginal Optimal Transport: Linear Rate of Convergence and Iteration Complexity. ICML 2022: 11529-11558 - [c2]Vladimir Kostic, Pietro Novelli, Andreas Maurer, Carlo Ciliberto, Lorenzo Rosasco, Massimiliano Pontil:
Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces. NeurIPS 2022 - [i2]Vladimir Kostic, Pietro Novelli, Andreas Maurer, Carlo Ciliberto, Lorenzo Rosasco, Massimiliano Pontil:
Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces. CoRR abs/2205.14027 (2022) - 2021
- [j23]Vladimir R. Kostic, Ljiljana Cvetkovic
From pseudospectra of diagonal blocks to pseudospectrum of a full matrix. J. Comput. Appl. Math. 386: 113265 (2021) - [i1]Vladimir Kostic, Saverio Salzo, Massimiliano Pontil:
Convergence of Batch Greenkhorn for Regularized Multimarginal Optimal Transport. CoRR abs/2112.00838 (2021)
2010 – 2019
- 2019
- [c1]Dragana Lj. Cvetkovic
New pseudospectra localizations with application in ecology and vibration analysis. CCWC 2019: 201-205 - 2018
- [j22]Vladimir Kostic
On the Geršgorin-type localizations for nonlinear eigenvalue problems. Appl. Math. Comput. 337: 179-189 (2018) - 2017
- [j21]Vladimir Kostic, Ljiljana Cvetkovic
On the inertia of the block H-matrices. Numer. Linear Algebra Appl. 24(5) (2017) - 2016
- [j20]Ljiljana Cvetkovic
Euclidean norm estimates of the inverse of some special block matrices. Appl. Math. Comput. 284: 12-23 (2016) - [j19]Ljiljana Cvetkovic
A wider convergence area for the MSTMAOR iteration methods for LCP. Numer. Algorithms 71(1): 77-88 (2016) - [j18]Vladimir R. Kostic, Agnieszka Miedlar
An algorithm for computing minimal Geršgorin sets. Numer. Linear Algebra Appl. 23(2): 272-290 (2016) - [j17]Vladimir R. Kostic, Ljiljana Cvetkovic
Pseudospectra localizations and their applications. Numer. Linear Algebra Appl. 23(2): 356-372 (2016) - 2015
- [j16]Vladimir Kostic:
On general principles of eigenvalue localizations via diagonal dominance. Adv. Comput. Math. 41(1): 55-75 (2015) - [j15]Dragutin T. Mihailovic, Vladimir Kostic, Gordan Mimic
Stability analysis of turbulent heat exchange over the heterogeneous environmental interface in climate models. Appl. Math. Comput. 265: 79-90 (2015) - [j14]Vladimir R. Kostic, Agnieszka Miedlar
On Matrix Nearness Problems: Distance to Delocalization. SIAM J. Matrix Anal. Appl. 36(2): 435-460 (2015) - 2014
- [j13]J. Aleksic, Vladimir Kostic, Milica Zigic
Spectrum localizations for matrix operators on IP spaces. Appl. Math. Comput. 249: 541-553 (2014) - [j12]Ljiljana Cvetkovic
On the choice of parameters in MAOR type splitting methods for the linear complementarity problem. Numer. Algorithms 67(4): 793-806 (2014) - [j11]Ljiljana Cvetkovic
A note on the convergence of the MSMAOR method for linear complementarity problems. Numer. Linear Algebra Appl. 21(4): 534-539 (2014) - 2012
- [j10]Ljiljana Cvetkovic
Application of generalized diagonal dominance in wireless sensor network optimization problems. Appl. Math. Comput. 218(9): 4798-4805 (2012) - [j9]Ljiljana Cvetkovic
Max-norm bounds for the inverse of S-Nekrasov matrices. Appl. Math. Comput. 218(18): 9498-9503 (2012) - [j8]Vladimir Kostic, Richard S. Varga, Ljiljana Cvetkovic
Localization of generalized eigenvalues by Cartesian ovals. Numer. Linear Algebra Appl. 19(4): 728-741 (2012) - 2011
- [j7]Ljiljana Cvetkovic
A simple generalization of Geršgorin's theorem. Adv. Comput. Math. 35(2-4): 271-280 (2011) - [j6]Ljiljana Cvetkovic
Eigenvalue Localization Refinements for Matrices Related to Positivity. SIAM J. Matrix Anal. Appl. 32(3): 771-784 (2011)
2000 – 2009
- 2009
- [j5]Ljiljana Cvetkovic
A new subclass of H-matrices. Appl. Math. Comput. 208(1): 206-210 (2009) - [j4]Vladimir Kostic, Ljiljana Cvetkovic
Geršgorin-type localizations of generalized eigenvalues. Numer. Linear Algebra Appl. 16(11-12): 883-898 (2009) - 2008
- [j3]Ljiljana Cvetkovic
Further results on H-matrices and their Schur complements. Appl. Math. Comput. 198(2): 506-510 (2008) - 2007
- [j2]Ljiljana Cvetkovic
A note on the convergence of the AOR method. Appl. Math. Comput. 194(2): 394-399 (2007) - 2006
- [j1]Ljiljana Cvetkovic
New subclasses of block H-matrices with applications to parallel decomposition-type relaxation methods. Numer. Algorithms 42(3-4): 325-334 (2006)
Coauthor Index
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