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Title
Conformal Online Learning of Deep Koopman Linear Embeddings Ben Gao Jordan Patracone Stéphane Chrétien Olivier Alata 60 0 0 16 Nov 2025
Sequence Modeling with Spectral Mean Flows Jinwoo Kim Max Beier Nicolas Hoischen Nayun Kim Seunghoon Hong BDL 138 0 0 17 Oct 2025
Learning functions, operators and dynamical systems with kernels Lorenzo Rosasco 65 0 0 22 Sep 2025
A Kernel-based Stochastic Approximation Framework for Nonlinear Operator Learning Jia-Qi Yang Lei Shi 109 0 0 14 Sep 2025
Universal Learning of Nonlinear Dynamics Evan Dogariu Anand Brahmbhatt Elad Hazan 80 0 0 16 Aug 2025
Efficient Parametric SVD of Koopman Operator for Stochastic Dynamical Systems Minchan Jeong J. Jon Ryu Se-Young Yun G. Wornell 211 2 0 09 Jul 2025
Predicting the Energy Landscape of Stochastic Dynamical System via Physics-informed Self-supervised LearningInternational Conference on Learning Representations (ICLR), 2025 Ruikun Li Huandong Wang Qingmin Liao Yong Li 115 2 0 24 Feb 2025
Koopman-Equivariant Gaussian ProcessesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025 Nicolas Hoischen Max Beier Armin Lederer A. Capone Roland Toth Sandra Hirche AI4TS 254 5 0 10 Feb 2025
Koopman Learning with Episodic Memory William T. Redman Dean Huang M. Fonoberova Igor Mezić 268 4 0 08 Jan 2025
Kernel-Based Optimal Control: An Infinitesimal Generator ApproachConference on Learning for Dynamics & Control (L4DC), 2024 Nicolas Hoischen Nicolas Hosichen Tobias Wittmann Jan Brüdigam Sandra Hirche Boris Houska 367 2 0 02 Dec 2024
Laplace Transform Based Low-Complexity Learning of Continuous Markov Semigroups Vladimir Kostic Karim Lounici Helene Halconruy Timothée Devergne P. Novelli Massimiliano Pontil 250 2 0 18 Oct 2024
Long-Context Linear System IdentificationInternational Conference on Learning Representations (ICLR), 2024 Oğuz Kaan Yüksel Mathieu Even Nicolas Flammarion 322 1 0 08 Oct 2024
$Gaussian kernel expansion with basis functions uniformly bounded in $\mathcal{L}_{\infty}$$ Gaussian kernel expansion with basis functions uniformly bounded in $\mathcal{L}_{\infty}$ M. Bisiacco G. Pillonetto 174 1 0 02 Oct 2024
Data-Driven Stochastic Optimal Control in Reproducing Kernel Hilbert Spaces Nicolas Hoischen Nicolas Hoischen Roland Toth Sandra Hirche Boris Houska 293 2 0 23 Jul 2024
Operator World Models for Reinforcement Learning P. Novelli Marco Prattico Massimiliano Pontil C. Ciliberto OffRL 295 2 0 28 Jun 2024
Linear quadratic control of nonlinear systems with Koopman operator learning and the Nyström method Edoardo Caldarelli Antoine Chatalic Adrià Colomé C. Molinari C. Ocampo‐Martinez Carme Torras Lorenzo Rosasco 384 3 0 05 Mar 2024
Operator Learning: Algorithms and Analysis Nikola B. Kovachki S. Lanthaler Andrew M. Stuart 389 64 0 24 Feb 2024
Consistent Long-Term Forecasting of Ergodic Dynamical Systems Prune Inzerilli Vladimir Kostic Karim Lounici P. Novelli Massimiliano Pontil 184 8 0 20 Dec 2023
Dynamics Harmonic Analysis of Robotic Systems: Application in Data-Driven Koopman ModellingConference on Learning for Dynamics & Control (L4DC), 2023 Daniel Felipe Ordoñez Apraez Vladimir Kostic Giulio Turrisi P. Novelli Carlos Mastalli Claudio Semini Massimiliano Pontil 254 5 0 12 Dec 2023
Neural Koopman prior for data assimilationIEEE Transactions on Signal Processing (IEEE TSP), 2023 Anthony Frion Lucas Drumetz M. Dalla Mura Guillaume Tochon Abdeldjalil Aissa El Bey AI4TS AI4CE 255 5 0 11 Sep 2023
Beyond expectations: Residual Dynamic Mode Decomposition and Variance for Stochastic Dynamical SystemsNonlinear dynamics (Nonlinear Dyn.), 2023 Matthew J. Colbrook Qin Li Ryan V. Raut Alex Townsend 277 23 0 21 Aug 2023
Koopman Kernel RegressionNeural Information Processing Systems (NeurIPS), 2023 Nicolas Hoischen Maximilian Beier Armin Lederer Roland Toth Eyke Hüllermeier Sandra Hirche AI4TS 181 25 0 25 May 2023
Discovering Causal Relations and Equations from DataPhysics reports (Phys. Rep.), 2023 Gustau Camps-Valls Andreas Gerhardus Urmi Ninad Gherardo Varando Georg Martius E. Balaguer-Ballester Ricardo Vinuesa Emiliano Díaz L. Zanna Jakob Runge PINN AI4Cl AI4CE CML 206 105 0 21 May 2023
Resurrecting Recurrent Neural Networks for Long SequencesInternational Conference on Machine Learning (ICML), 2023 Antonio Orvieto Samuel L. Smith Albert Gu Anushan Fernando Çağlar Gülçehre Razvan Pascanu Soham De 457 400 0 11 Mar 2023
Sharp Spectral Rates for Koopman Operator LearningNeural Information Processing Systems (NeurIPS), 2023 Vladimir Kostic Karim Lounici P. Novelli Massimiliano Pontil 496 35 0 03 Feb 2023
Learning dynamical systems: an example from open quantum system dynamics P. Novelli AI4CE 219 0 0 12 Nov 2022
Spectral Representation Learning for Conditional Moment Models Ziyu Wang Yucen Luo Yueru Li Chao Ding Bernhard Schölkopf CML 280 11 0 29 Oct 2022
Ensemble forecasts in reproducing kernel Hilbert space family Benjamin Dufée Berenger Hug É. Mémin G. Tissot 398 2 0 29 Jul 2022

Title

Conformal Online Learning of Deep Koopman Linear Embeddings

16 Nov 2025

Sequence Modeling with Spectral Mean Flows

138

17 Oct 2025

Learning functions, operators and dynamical systems with kernels

Lorenzo Rosasco

22 Sep 2025

A Kernel-based Stochastic Approximation Framework for Nonlinear Operator Learning

Jia-Qi Yang

Lei Shi

109

14 Sep 2025

Universal Learning of Nonlinear Dynamics

Evan Dogariu

Anand Brahmbhatt

Elad Hazan

16 Aug 2025

Efficient Parametric SVD of Koopman Operator for Stochastic Dynamical Systems

211

09 Jul 2025

Predicting the Energy Landscape of Stochastic Dynamical System via Physics-informed Self-supervised LearningInternational Conference on Learning Representations (ICLR), 2025

115

24 Feb 2025

Koopman-Equivariant Gaussian ProcessesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025

254

10 Feb 2025

Koopman Learning with Episodic Memory

268

08 Jan 2025

Kernel-Based Optimal Control: An Infinitesimal Generator ApproachConference on Learning for Dynamics & Control (L4DC), 2024

367

02 Dec 2024

Laplace Transform Based Low-Complexity Learning of Continuous Markov Semigroups

250

18 Oct 2024

Long-Context Linear System IdentificationInternational Conference on Learning Representations (ICLR), 2024

Oğuz Kaan Yüksel

Mathieu Even

Nicolas Flammarion

322

08 Oct 2024

$Gaussian kernel expansion with basis functions uniformly bounded in $\mathcal{L}_{\infty}$$

Gaussian kernel expansion with basis functions uniformly bounded in

\mathcal{L}_{\infty}

M. Bisiacco

G. Pillonetto

174

02 Oct 2024

Data-Driven Stochastic Optimal Control in Reproducing Kernel Hilbert Spaces

293

23 Jul 2024

Operator World Models for Reinforcement Learning

295

28 Jun 2024

Linear quadratic control of nonlinear systems with Koopman operator learning and the Nyström method

384

05 Mar 2024

Operator Learning: Algorithms and Analysis

Nikola B. Kovachki

S. Lanthaler

Andrew M. Stuart

389

24 Feb 2024

Consistent Long-Term Forecasting of Ergodic Dynamical Systems

184

20 Dec 2023

Dynamics Harmonic Analysis of Robotic Systems: Application in Data-Driven Koopman ModellingConference on Learning for Dynamics & Control (L4DC), 2023

Daniel Felipe Ordoñez Apraez

Giulio Turrisi

Claudio Semini

254

12 Dec 2023

Neural Koopman prior for data assimilationIEEE Transactions on Signal Processing (IEEE TSP), 2023

Abdeldjalil Aissa El Bey

AI4TS AI4CE

255

11 Sep 2023

Beyond expectations: Residual Dynamic Mode Decomposition and Variance for Stochastic Dynamical SystemsNonlinear dynamics (Nonlinear Dyn.), 2023

277

21 Aug 2023

Koopman Kernel RegressionNeural Information Processing Systems (NeurIPS), 2023

Eyke Hüllermeier

181

25 May 2023

Discovering Causal Relations and Equations from DataPhysics reports (Phys. Rep.), 2023

Gustau Camps-Valls

E. Balaguer-Ballester

206

105

21 May 2023

Resurrecting Recurrent Neural Networks for Long SequencesInternational Conference on Machine Learning (ICML), 2023

Antonio Orvieto

457

400

11 Mar 2023

Sharp Spectral Rates for Koopman Operator LearningNeural Information Processing Systems (NeurIPS), 2023

496

03 Feb 2023

Learning dynamical systems: an example from open quantum system dynamics

P. Novelli

AI4CE

219

12 Nov 2022

Spectral Representation Learning for Conditional Moment Models

280

29 Oct 2022

Ensemble forecasts in reproducing kernel Hilbert space family

398

29 Jul 2022

Title
Conformal Online Learning of Deep Koopman Linear Embeddings Ben Gao Jordan Patracone Stéphane Chrétien Olivier Alata 60 0 0 16 Nov 2025
Sequence Modeling with Spectral Mean Flows Jinwoo Kim Max Beier Nicolas Hoischen Nayun Kim Seunghoon Hong BDL 138 0 0 17 Oct 2025
Learning functions, operators and dynamical systems with kernels Lorenzo Rosasco 65 0 0 22 Sep 2025
A Kernel-based Stochastic Approximation Framework for Nonlinear Operator Learning Jia-Qi Yang Lei Shi 109 0 0 14 Sep 2025
Universal Learning of Nonlinear Dynamics Evan Dogariu Anand Brahmbhatt Elad Hazan 80 0 0 16 Aug 2025
Efficient Parametric SVD of Koopman Operator for Stochastic Dynamical Systems Minchan Jeong J. Jon Ryu Se-Young Yun G. Wornell 211 2 0 09 Jul 2025
Predicting the Energy Landscape of Stochastic Dynamical System via Physics-informed Self-supervised LearningInternational Conference on Learning Representations (ICLR), 2025 Ruikun Li Huandong Wang Qingmin Liao Yong Li 115 2 0 24 Feb 2025
Koopman-Equivariant Gaussian ProcessesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025 Nicolas Hoischen Max Beier Armin Lederer A. Capone Roland Toth Sandra Hirche AI4TS 254 5 0 10 Feb 2025
Koopman Learning with Episodic Memory William T. Redman Dean Huang M. Fonoberova Igor Mezić 268 4 0 08 Jan 2025
Kernel-Based Optimal Control: An Infinitesimal Generator ApproachConference on Learning for Dynamics & Control (L4DC), 2024 Nicolas Hoischen Nicolas Hosichen Tobias Wittmann Jan Brüdigam Sandra Hirche Boris Houska 367 2 0 02 Dec 2024
Laplace Transform Based Low-Complexity Learning of Continuous Markov Semigroups Vladimir Kostic Karim Lounici Helene Halconruy Timothée Devergne P. Novelli Massimiliano Pontil 250 2 0 18 Oct 2024
Long-Context Linear System IdentificationInternational Conference on Learning Representations (ICLR), 2024 Oğuz Kaan Yüksel Mathieu Even Nicolas Flammarion 322 1 0 08 Oct 2024
$Gaussian kernel expansion with basis functions uniformly bounded in $\mathcal{L}_{\infty}$$ Gaussian kernel expansion with basis functions uniformly bounded in $\mathcal{L}_{\infty}$ M. Bisiacco G. Pillonetto 174 1 0 02 Oct 2024
Data-Driven Stochastic Optimal Control in Reproducing Kernel Hilbert Spaces Nicolas Hoischen Nicolas Hoischen Roland Toth Sandra Hirche Boris Houska 293 2 0 23 Jul 2024
Operator World Models for Reinforcement Learning P. Novelli Marco Prattico Massimiliano Pontil C. Ciliberto OffRL 295 2 0 28 Jun 2024
Linear quadratic control of nonlinear systems with Koopman operator learning and the Nyström method Edoardo Caldarelli Antoine Chatalic Adrià Colomé C. Molinari C. Ocampo‐Martinez Carme Torras Lorenzo Rosasco 384 3 0 05 Mar 2024
Operator Learning: Algorithms and Analysis Nikola B. Kovachki S. Lanthaler Andrew M. Stuart 389 64 0 24 Feb 2024
Consistent Long-Term Forecasting of Ergodic Dynamical Systems Prune Inzerilli Vladimir Kostic Karim Lounici P. Novelli Massimiliano Pontil 184 8 0 20 Dec 2023
Dynamics Harmonic Analysis of Robotic Systems: Application in Data-Driven Koopman ModellingConference on Learning for Dynamics & Control (L4DC), 2023 Daniel Felipe Ordoñez Apraez Vladimir Kostic Giulio Turrisi P. Novelli Carlos Mastalli Claudio Semini Massimiliano Pontil 254 5 0 12 Dec 2023
Neural Koopman prior for data assimilationIEEE Transactions on Signal Processing (IEEE TSP), 2023 Anthony Frion Lucas Drumetz M. Dalla Mura Guillaume Tochon Abdeldjalil Aissa El Bey AI4TS AI4CE 255 5 0 11 Sep 2023
Beyond expectations: Residual Dynamic Mode Decomposition and Variance for Stochastic Dynamical SystemsNonlinear dynamics (Nonlinear Dyn.), 2023 Matthew J. Colbrook Qin Li Ryan V. Raut Alex Townsend 277 23 0 21 Aug 2023
Koopman Kernel RegressionNeural Information Processing Systems (NeurIPS), 2023 Nicolas Hoischen Maximilian Beier Armin Lederer Roland Toth Eyke Hüllermeier Sandra Hirche AI4TS 181 25 0 25 May 2023
Discovering Causal Relations and Equations from DataPhysics reports (Phys. Rep.), 2023 Gustau Camps-Valls Andreas Gerhardus Urmi Ninad Gherardo Varando Georg Martius E. Balaguer-Ballester Ricardo Vinuesa Emiliano Díaz L. Zanna Jakob Runge PINN AI4Cl AI4CE CML 206 105 0 21 May 2023
Resurrecting Recurrent Neural Networks for Long SequencesInternational Conference on Machine Learning (ICML), 2023 Antonio Orvieto Samuel L. Smith Albert Gu Anushan Fernando Çağlar Gülçehre Razvan Pascanu Soham De 457 400 0 11 Mar 2023
Sharp Spectral Rates for Koopman Operator LearningNeural Information Processing Systems (NeurIPS), 2023 Vladimir Kostic Karim Lounici P. Novelli Massimiliano Pontil 496 35 0 03 Feb 2023
Learning dynamical systems: an example from open quantum system dynamics P. Novelli AI4CE 219 0 0 12 Nov 2022
Spectral Representation Learning for Conditional Moment Models Ziyu Wang Yucen Luo Yueru Li Chao Ding Bernhard Schölkopf CML 280 11 0 29 Oct 2022
Ensemble forecasts in reproducing kernel Hilbert space family Benjamin Dufée Berenger Hug É. Mémin G. Tissot 398 2 0 29 Jul 2022

Title

Conformal Online Learning of Deep Koopman Linear Embeddings

16 Nov 2025

Sequence Modeling with Spectral Mean Flows