Pietro Novelli
- Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces
2022/05/27 by Vladimir R. Kostic, Pietro Novelli, Kostic, Vladimir +9 · 14 citations
Computer Science · Engineering · Physics and Astronomy · #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Fluid Dynamics and Turbulent Flows #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Model Reduction and Neural Networks
- Sharp Spectral Rates for Koopman Operator Learning
2023/02/03 by Vladimir R. Kostic, Kostic, Vladimir, Karim Lounici +5 · 8 citations
Physics and Astronomy · Medicine · Computer Science · #Model Reduction and Neural Networks #Thermal Regulation in Medicine #Gaussian Processes and Bayesian Inference
- Neural Conditional Probability for Uncertainty Quantification
2024/07/01 by Vladimir Kostić, Karim Lounici, Kostic, Vladimir R. +9 · 6 citations
Computer Science · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Neural Networks and Applications #Statistics Theory (math.ST)
- Estimating Koopman operators with sketching to provably learn large scale dynamical systems
2023/06/07 by Giacomo Meanti, Meanti, Giacomo, Antoine Chatalic +9 · 3 citations
Computer Science · Physics and Astronomy · #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Model Reduction and Neural Networks #Neural Networks and Applications
- Transfer learning for atomistic simulations using GNNs and kernel mean embeddings
2023/06/02 by Isak Falk, Falk, John, Pietro Novelli +5 · 2 citations
Computer Science · Materials Science · #Advanced Graph Neural Networks #Chemical Physics (physics.chem-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Topic Modeling
- Laplace Transform Based Low-Complexity Learning of Continuous Markov Semigroups
2024/10/18 by Vladimir Kostić, Karim Lounici, Kostic, Vladimir R. +9 · 2 citations
Computer Science · Engineering · #Control Systems and Identification #FOS: Computer and information sciences #FOS: Mathematics #Fault Detection and Control Systems #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Statistics Theory (math.ST)
- Dynamics Harmonic Analysis of Robotic Systems: Application in Data-Driven Koopman Modelling
2023/12/12 by Daniel Ordoñez-Apraez, Vladimir Kostić, Ordoñez-Apraez, Daniel +11 · 1 citation
Physics and Astronomy · #Model Reduction and Neural Networks
- Fast and Fourier Features for Transfer Learning of Interatomic Potentials
2025/05/08 by Pietro Novelli, Novelli, Pietro, Giacomo Meanti +10 · 3 citations
Materials Science · Physics and Astronomy · #Advanced Chemical Physics Studies #Computational Physics (physics.comp-ph) #FOS: Physical sciences #Machine Learning in Materials Science #Quantum many-body systems