Mean Field Approximation in Conformation Dynamics. - Gero Friesecke; Oliver Junge; Péter Koltai (Multiscale Model. Simul., 2009)

Discretization of the Frobenius-Perron Operator Using a Sparse Haar Tensor Basis: The Sparse Ulam Method. - Oliver Junge; Péter Koltai (SIAM J. Numer. Anal., 2009)

Estimating Long-Term Behavior of Flows without Trajectory Integration: The Infinitesimal Generator Approach. - Gary Froyland; Oliver Junge; Péter Koltai (SIAM J. Numer. Anal., 2013)

Pseudogenerators of Spatial Transfer Operators. - Andreas Bittracher; Péter Koltai; Oliver Junge (SIAM J. Appl. Dyn. Syst., 2015)

Optimal Data-Driven Estimation of Generalized Markov State Models for Non-Equilibrium Dynamics. - Péter Koltai; Hao Wu 035; Frank Noé; Christof Schütte (Comput., 2018)

Transition Manifolds of Complex Metastable Systems - Theory and Data-Driven Computation of Effective Dynamics. - Andreas Bittracher; Péter Koltai; Stefan Klus; Ralf Banisch; Michael Dellnitz; Christof Schütte (J. Nonlinear Sci., 2018)

Data-Driven Model Reduction and Transfer Operator Approximation. - Stefan Klus; Feliks Nüske; Péter Koltai; Hao Wu 035; Ioannis G. Kevrekidis; Christof Schütte; Frank Noé (J. Nonlinear Sci., 2018)

From Large Deviations to Semidistances of Transport and Mixing: Coherence Analysis for Finite Lagrangian Data. - Péter Koltai; Michiel Renger (J. Nonlinear Sci., 2018)

A Multiscale Perturbation Expansion Approach for Markov State Modeling of Nonstationary Molecular Dynamics. - Péter Koltai; Christof Schütte (Multiscale Model. Simul., 2018)

Transfer Operators from Optimal Transport Plans for Coherent Set Detection. - Péter Koltai; Johannes von Lindheim; Sebastian Neumayer; Gabriele Steidl (CoRR, 2020)

Nonparametric approximation of conditional expectation operators. - Mattes Mollenhauer; Péter Koltai (CoRR, 2020)

Extending Transition Path Theory: Periodically Driven and Finite-Time Dynamics. - Luzie Helfmann; Enric Ribera Borrell; Christof Schütte; Péter Koltai (J. Nonlinear Sci., 2020)

Computation and Optimal Perturbation of Finite-Time Coherent Sets for Aperiodic Flows Without Trajectory Integration. - Gary Froyland; Péter Koltai; Martin Stahn (SIAM J. Appl. Dyn. Syst., 2020)

Spectral Properties of Effective Dynamics from Conditional Expectations. - Feliks Nüske; Péter Koltai; Lorenzo Boninsegna; Cecilia Clementi (Entropy, 2021)

Dimensionality Reduction of Complex Metastable Systems via Kernel Embeddings of Transition Manifolds. - Andreas Bittracher; Stefan Klus; Boumediene Hamzi; Péter Koltai; Christof Schütte (J. Nonlinear Sci., 2021)

Memory-Based Reduced Modelling and Data-Based Estimation of Opinion Spreading. - Niklas Wulkow; Péter Koltai; Christof Schütte (J. Nonlinear Sci., 2021)

Kernel Autocovariance Operators of Stationary Processes: Estimation and Convergence. - Mattes Mollenhauer; Stefan Klus; Christof Schütte; Péter Koltai (J. Mach. Learn. Res., 2022)

Nonnegative matrix factorization for coherent set identification by direct low rank maximum likelihood estimation. - Robert Polzin; Ilja Klebanov; Nikolas Nüsken; Péter Koltai (CoRR, 2023)

Optimal Reaction Coordinates: Variational Characterization and Sparse Computation. - Andreas Bittracher; Mattes Mollenhauer; Péter Koltai; Christof Schütte (Multiscale Model. Simul., 2023)

Extracting coherent sets in aperiodically driven flows from generators of Mather semigroups. - Robin Chemnitz; Maximilian Engel; Péter Koltai (CoRR, 2024)

Spectral clustering of time-evolving networks using the inflated dynamic Laplacian for graphs. - Gary Froyland; Manu Kalia; Péter Koltai (CoRR, 2024)

A Dynamic ( boldsymbol{p} )-Laplacian. - Alvaro de Diego Unanue; Gary Froyland; Oliver Junge; Péter Koltai (SIAM J. Math. Anal., 2025)

Coherent Set Identification Via Direct Low Rank Maximum Likelihood Estimation. - Robert M. Polzin; Ilja Klebanov; Nikolas Nüsken; Péter Koltai (J. Nonlinear Sci., 2025)

Avoiding spectral pollution for transfer operators using residuals. - April Herwig; Matthew J. Colbrook; Oliver Junge; Péter Koltai; Julia Slipantschuk (CoRR, 2025)