Novelli, Pietro

10 publications

ICML 2025 Laplace Transform Based Low-Complexity Learning of Continuous Markov Semigroups Vladimir R Kostic, Karim Lounici, Hélène Halconruy, Timothée Devergne, Pietro Novelli, Massimiliano Pontil

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

L4DC 2024 Dynamics Harmonic Analysis of Robotic Systems: Application in Data-Driven Koopman Modelling Daniel Ordoñez-Apraez, Vladimir Kostic, Giulio Turrisi, Pietro Novelli, Carlos Mastalli, Claudio Semini, Massimilano Pontil

ICLR 2024 Learning Invariant Representations of Time-Homogeneous Stochastic Dynamical Systems Vladimir R Kostic, Pietro Novelli, Riccardo Grazzi, Karim Lounici, Massimiliano Pontil

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

NeurIPS 2024 Operator World Models for Reinforcement Learning Pietro Novelli, Marco Pratticò, Massimiliano Pontil, Carlo Ciliberto

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 Sharp Spectral Rates for Koopman Operator Learning Vladimir Kostic, Karim Lounici, Pietro Novelli, Massimiliano Pontil

NeurIPS 2023 Transfer Learning for Atomistic Simulations Using GNNs and Kernel Mean Embeddings John Falk, Luigi Bonati, Pietro Novelli, Michele Parrinello, Massimiliano Pontil

NeurIPS 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