Pietro Novelli

27 papers A* 9Journal 17Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Randomized Algorithm to Solve Reduced Rank Operator Regression. SIAM J. Math. Data Sci. Giacomo Turri, Vladimir Kostic, Pietro Novelli, Massimiliano Pontil
2026	J	`jnl`	SpectraFormer: an Attention-Based Raman Unmixing Tool for Accessing the Graphene Buffer-Layer Signature on SiC. CoRR Dmitriy Poteryayev, Pietro Novelli, Annalisa Coriolano, Riccardo Dettori, Valentina Tozzini, Fabio Beltram, Massimiliano Pontil, Antonio Rossi, Stiven Forti, Camilla Coletti
2025	A*	`conf`	Laplace Transform Based Low-Complexity Learning of Continuous Markov Semigroups. ICML Vladimir R. Kostic, Karim Lounici, Hélène Halconruy, Timothée Devergne, Pietro Novelli, Massimiliano Pontil
2025	J	`jnl`	Self-Supervised Evolution Operator Learning for High-Dimensional Dynamical Systems. CoRR Giacomo Turri, Luigi Bonati, Kai Zhu, Massimiliano Pontil, Pietro Novelli
2025	J	`jnl`	kooplearn: A Scikit-Learn Compatible Library of Algorithms for Evolution Operator Learning. CoRR Giacomo Turri, Grégoire Pacreau, Giacomo Meanti, Timothée Devergne, Daniel Ordonez, Erfan Mirzaei, Bruno Belucci, Karim Lounici, Vladimir Kostic, Massimiliano Pontil, Pietro Novelli
2024	A*	`conf`	Consistent Long-Term Forecasting of Ergodic Dynamical Systems. ICML Vladimir R. Kostic, Karim Lounici, Prune Inzerilli, Pietro Novelli, Massimiliano Pontil
2024	—	`conf`	Dynamics harmonic analysis of robotic systems: Application in data-driven Koopman modelling. L4DC Daniel Felipe Ordoñez Apraez, Vladimir Kostic, Giulio Turrisi, Pietro Novelli, Carlos Mastalli, Claudio Semini, Massimiliano Pontil
2024	J	`jnl`	Laplace Transform Based Low-Complexity Learning of Continuous Markov Semigroups. CoRR Vladimir R. Kostic, Karim Lounici, Hélène Halconruy, Timothee Devergne, Pietro Novelli, Massimiliano Pontil
2024	A*	`conf`	Learning invariant representations of time-homogeneous stochastic dynamical systems. ICLR Vladimir R. Kostic, Pietro Novelli, Riccardo Grazzi, Karim Lounici, Massimiliano Pontil
2024	J	`jnl`	Neural Conditional Probability for Inference. CoRR Vladimir R. Kostic, Karim Lounici, Grégoire Pacreau, Pietro Novelli, Giacomo Turri, Massimiliano Pontil
2024	A*	`conf`	Neural Conditional Probability for Uncertainty Quantification. NeurIPS Vladimir Kostic, Grégoire Pacreau, Giacomo Turri, Pietro Novelli, Karim Lounici, Massimiliano Pontil
2024	A*	`conf`	Operator World Models for Reinforcement Learning. NeurIPS Pietro Novelli, Marco Pratticò, Massimiliano Pontil, Carlo Ciliberto
2024	J	`jnl`	Operator World Models for Reinforcement Learning. CoRR Pietro Novelli, Marco Pratticò, Massimiliano Pontil, Carlo Ciliberto
2023	J	`jnl`	A randomized algorithm to solve reduced rank operator regression. CoRR Giacomo Turri, Vladimir Kostic, Pietro Novelli, Massimiliano Pontil
2023	J	`jnl`	Consistent Long-Term Forecasting of Ergodic Dynamical Systems. CoRR Prune Inzerilli, Vladimir Kostic, Karim Lounici, Pietro Novelli, Massimiliano Pontil
2023	J	`jnl`	Deep projection networks for learning time-homogeneous dynamical systems. CoRR Vladimir R. Kostic, Pietro Novelli, Riccardo Grazzi, Karim Lounici, Massimiliano Pontil
2023	J	`jnl`	Dynamics Harmonic Analysis of Robotic Systems: Application in Data-Driven Koopman Modelling. CoRR Daniel Felipe Ordoñez Apraez, Vladimir Kostic, Giulio Turrisi, Pietro Novelli, Carlos Mastalli, Claudio Semini, Massimiliano Pontil
2023	A*	`conf`	Estimating Koopman operators with sketching to provably learn large scale dynamical systems. NeurIPS Giacomo Meanti, Antoine Chatalic, Vladimir Kostic, Pietro Novelli, Massimiliano Pontil, Lorenzo Rosasco
2023	J	`jnl`	Estimating Koopman operators with sketching to provably learn large scale dynamical systems. CoRR Giacomo Meanti, Antoine Chatalic, Vladimir R. Kostic, Pietro Novelli, Massimiliano Pontil, Lorenzo Rosasco
2023	J	`jnl`	Koopman Operator Learning: Sharp Spectral Rates and Spurious Eigenvalues. CoRR Vladimir Kostic, Karim Lounici, Pietro Novelli, Massimiliano Pontil
2023	A*	`conf`	Sharp Spectral Rates for Koopman Operator Learning. NeurIPS Vladimir Kostic, Karim Lounici, Pietro Novelli, Massimiliano Pontil
2023	A*	`conf`	Transfer learning for atomistic simulations using GNNs and kernel mean embeddings. NeurIPS John Isak Texas Falk, Luigi Bonati, Pietro Novelli, Michele Parrinello, Massimiliano Pontil
2023	J	`jnl`	Transfer learning for atomistic simulations using GNNs and kernel mean embeddings. CoRR John Isak Texas Falk, Luigi Bonati, Pietro Novelli, Michele Parrinello, Massimiliano Pontil
2022	J	`jnl`	Characterizing metastable states with the help of machine learning. CoRR Pietro Novelli, Luigi Bonati, Massimiliano Pontil, Michele Parrinello
2022	A*	`conf`	Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces. NeurIPS Vladimir Kostic, Pietro Novelli, Andreas Maurer, Carlo Ciliberto, Lorenzo Rosasco, Massimiliano Pontil
2022	J	`jnl`	Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces. CoRR Vladimir Kostic, Pietro Novelli, Andreas Maurer, Carlo Ciliberto, Lorenzo Rosasco, Massimiliano Pontil
2022	J	`jnl`	Learning dynamical systems: an example from open quantum system dynamics. CoRR Pietro Novelli