| Observation of interband collective excitations in twisted bilayer graphene NCH Hesp, I Torre, D Rodan-Legrain, P Novelli, Y Cao, S Carr, S Fang, ... Nature Physics 17 (10), 1162-1168, 2021 | 99* | 2021 |
| Failure of conductance quantization in two-dimensional topological insulators due to nonmagnetic impurities P Novelli, F Taddei, AK Geim, M Polini Physical Review Letters 122 (1), 016601, 2019 | 71 | 2019 |
| Learning dynamical systems via Koopman operator regression in reproducing kernel Hilbert spaces V Kostic, P Novelli, A Maurer, C Ciliberto, L Rosasco, M Pontil Advances in Neural Information Processing Systems 35, 4017-4031, 2022 | 67 | 2022 |
| Optical and plasmonic properties of twisted bilayer graphene: Impact of interlayer tunneling asymmetry and ground-state charge inhomogeneity P Novelli, I Torre, FHL Koppens, F Taddei, M Polini Physical Review B 102 (12), 125403, 2020 | 60 | 2020 |
| Sharp spectral rates for Koopman operator learning V Kostic, K Lounici, P Novelli, M Pontil Advances in Neural Information Processing Systems 36, 32328-32339, 2023 | 33* | 2023 |
| Characterizing metastable states with the help of machine learning P Novelli, L Bonati, M Pontil, M Parrinello Journal of Chemical Theory and Computation 18 (9), 5195-5202, 2022 | 22 | 2022 |
| Estimating Koopman operators with sketching to provably learn large scale dynamical systems G Meanti, A Chatalic, V Kostic, P Novelli, M Pontil, L Rosasco Advances in Neural Information Processing Systems 36, 77242-77276, 2023 | 13 | 2023 |
| Moiré-induced transport in CVD-based small-angle twisted bilayer graphene G Piccinini, V Mišeikis, P Novelli, K Watanabe, T Taniguchi, M Polini, ... Nano Letters 22 (13), 5252-5259, 2022 | 12 | 2022 |
| Learning invariant representations of time-homogeneous stochastic dynamical systems VR Kostic, P Novelli, R Grazzi, K Lounici, M Pontil arXiv preprint arXiv:2307.09912, 2023 | 11* | 2023 |
| Transfer learning for atomistic simulations using GNNs and kernel mean embeddings J Falk, L Bonati, P Novelli, M Parrinello, M Pontil Advances in Neural Information Processing Systems 36, 29783-29797, 2023 | 8 | 2023 |
| Consistent long-term forecasting of ergodic dynamical systems V Kostic, P Inzerili, K Lounici, P Novelli, M Pontil 2024 International Conference on Machine Learning, 2024 | 3* | 2024 |
| A randomized algorithm to solve reduced rank operator regression G Turri, V Kostic, P Novelli, M Pontil arXiv preprint arXiv:2312.17348, 2023 | 3 | 2023 |
| Dynamics harmonic analysis of robotic systems: Application in data-driven koopman modelling D Ordoñez-Apraez, V Kostic, G Turrisi, P Novelli, C Mastalli, C Semini, ... 6th Annual Learning for Dynamics & Control Conference, 1318-1329, 2024 | 2 | 2024 |
| Fine-tuning Foundation Models for Molecular Dynamics: A Data-Efficient Approach with Random Features P Novelli, L Bonati, PJ Buigues, G Meanti, L Rosasco, M Parrinello, ... Proc. Adv. Neural Inf. Process. Syst.(NeurIPS), 2024 | 1 | 2024 |
| Neural Conditional Probability for Uncertainty Quantification V Kostic, G Pacreau, G Turri, P Novelli, K Lounici, M Pontil Advances in Neural Information Processing Systems 37, 60999-61039, 2025 | | 2025 |
| Operator World Models for Reinforcement Learning P Novelli, M Pratticò, M Pontil, C Ciliberto Advances in Neural Information Processing Systems 37, 111432-111463, 2025 | | 2025 |
| Laplace transform based low-complexity learning of continuous Markov semigroups VR Kostic, K Lounici, H Halconruy, T Devergne, P Novelli, M Pontil arXiv preprint arXiv:2410.14477, 2024 | | 2024 |
| Neural Conditional Probability for Inference VR Kostic, K Lounici, G Pacreau, P Novelli, G Turri, M Pontil arXiv preprint arXiv:2407.01171, 2024 | | 2024 |
| Learning dynamical systems: an example from open quantum system dynamics P Novelli arXiv preprint arXiv:2211.06678, 2022 | | 2022 |
| Electron-electron interaction effects in the optical and transport properties of 2D materials beyond graphene P Novelli Scuola Normale Superiore, 2021 | | 2021 |
