LR
Lorenzo Rosasco
cs.LGstat.MLmath.OCmath.STstat.THcs.CVcs.ROmath.FAcs.AIcs.NA
On Valency
published · living versionsW_9va24dn5·v1 · currentpublished
Preprints & journals
161 papers in the corpus · 2004–2026Dynamic robotic cloth folding with efficient Koopman operator-based model predictive control2605.18373v1 · Edoardo Caldarelli, Franco Coltraro, Adria Colom'e et al.2026 · 0 citationsarXiv
Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order2607.22353v2 · Emanuele Naldi, Marco Rando, Lorenzo Rosasco et al.2026 · 0 citationsarXiv
A Proximal Stochastic Variance Reduced Zeroth-order Algorithm using Structured Finite-Differences2506.23758v2 · Marco Rando, Cheik Traor'e, Cesare Molinari et al.2025 · 0 citationsarXiv
Fast and Fourier features for transfer learning of interatomic potentials.41018849 · Novelli, Pietro, Meanti, Giacomo, Buigues, Pedro J et al.2026 · 15 citationsnpj computational materials. 2025;11(1):293
Fast Learning Rates for Physics-Informed Kernel Methods2609.18901v1 · Luc Brogat-Motte, Joachim Bona-Pellissier, Giacomo Meanti et al.2026 · 0 citationsarXiv
Learning Multi-Index Models with Hyper-Kernel Ridge Regression2510.02532v2 · Shuo Huang, Hippolyte Labarriere, Ernesto De Vito et al.2025 · 0 citationsarXiv
Q-learning with temporal memory to navigate turbulence.38711433 · Rando, Marco, James, Martin, Verri, Alessandro et al.2026 · 0 citationsArXiv. 2025
PIKS: Universal Physics-Informed Kernel Methods2607.27062v1 · Joachim Bona-Pellissier, Giacomo Meanti, Matteo Santacesaria et al.2026 · 0 citationsarXiv
Learning Ergodic Dynamical Systems from a Finite Trajectory2607.22399v1 · Oleksii Kachaiev, Silvia Villa, Lorenzo Rosasco2026 · 0 citationsarXiv
Learning to control switching nonlinear systems with Koopman operator regression2607.11344v1 · Edoardo Caldarelli, Oleksii Kachaiev, Cesare Molinari et al.2026 · 0 citationsarXiv
Learning Sparse Compositional Functions with Norm-Constrained Neural Networks2605.25608v1 · Shuo Huang, Lorenzo Fiorito, Lorenzo Rosasco et al.2026 · 0 citationsarXiv
SGD for Variational Inference: Tackling Unbounded Variance via Preconditioning and Dynamic Batching2605.07531v1 · Hippolyte Labarriere, Cesare Molinari, Silvia Villa et al.2026 · 0 citationsarXiv
A Scalable Nystrom-Based Kernel Two-Sample Test with Permutations2502.13570v4 · Antoine Chatalic, Marco Letizia, Nicolas Schreuder et al.2025 · 0 citationsarXiv
On the Sample Complexity of Learning for Blind Inverse Problems2512.23405v4 · Nathan Buskulic, Luca Calatroni, Lorenzo Rosasco et al.2025 · 0 citationsarXiv
Optimization Insights into Deep Diagonal Linear Networks2412.16765v3 · Hippolyte Labarriere, Cesare Molinari, Lorenzo Rosasco et al.2024 · 0 citationsarXiv
A New Formulation for Zeroth-Order Optimization of Adversarial EXEmples in Malware Detection2405.14519v2 · Marco Rando, Luca Demetrio, Lorenzo Rosasco et al.2024 · 0 citationsIEEE Transactions on Information Forensics and Security 21 (2025) 506-515
On Learning the Optimal Regularization Parameter in Inverse Problems2311.15845v4 · Jonathan Chirinos Rodriguez, Ernesto De Vito, Cesare Molinari et al.2023 · 6 citationsarXiv
The $\varphi$ Curve: The Shape of Generalization through the Lens of Norm-based Capacity Control2502.01585v3 · Yichen Wang, Yudong Chen, Lorenzo Rosasco et al.2025 · 0 citationsarXiv
Learning functions, operators and dynamical systems with kernels2509.18071v2 · Lorenzo Rosasco2025 · 0 citationsarXiv
Learn Fast, Segment Well: Fast Object Segmentation Learning on the iCub Robot2206.13462v1 · Federico Ceola, Elisa Maiettini, Giulia Pasquale et al.2022 · 3 citationsIEEE Transactions on Robotics, Volume 38, Issue 5, October 2022
Neural reproducing kernel Banach spaces and representer theorems for deep networks2403.08750v2 · Francesca Bartolucci, Ernesto De Vito, Lorenzo Rosasco et al.2024 · 0 citationsarXiv
Q-learning with temporal memory to navigate turbulence.40690282 · Rando, Marco, James, Martin, Verri, Alessandro et al.2025 · 0 citationseLife. 2025;13
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling2311.13548v2 · Antoine Chatalic, Nicolas Schreuder, Ernesto De Vito et al.2023 · 1 citationarXiv
A Structured Tour of Optimization with Finite Differences2505.19720v1 · Marco Rando, Cesare Molinari, Lorenzo Rosasco et al.2025 · 0 citationsarXiv
Computational Efficiency under Covariate Shift in Kernel Ridge Regression2505.14083v1 · Andrea Della Vecchia, Arnaud Mavakala Watusadisi, Ernesto De Vito et al.2025 · 0 citationsarXiv
Fast and Fourier Features for Transfer Learning of Interatomic Potentials2505.05652v1 · Pietro Novelli, Giacomo Meanti, Pedro J. Buigues et al.2025 · 15 citationsarXiv
Linear quadratic control of nonlinear systems with Koopman operator learning and the Nystr\"om method2403.02811v4 · Edoardo Caldarelli, Antoine Chatalic, Adria Colom'e et al.2024 · 4 citationsAutomatica, Volume 177, 2025, 112302
Learning convolution operators on compact Abelian groups2501.05279v3 · Emilia Magnani, Ernesto De Vito, Philipp Hennig et al.2025 · 0 citationsarXiv
The Nystr\"om method for convex loss functions2006.10016v4 · Andrea Della Vecchia, Ernesto De Vito, Jaouad Mourtada et al.2020 · 1 citationjournal = {Journal of Machine Learning Research}, year = {2024}, volume = {25}, number = {360}, pages = {1--60}
Towards a Learning Theory of Representation Alignment2502.14047v1 · Francesco Insulla, Shuo Huang, Lorenzo Rosasco2025 · 0 citationsarXiv
Q-learning with temporal memory to navigate turbulence2404.17495v2 · Marco Rando, Martin James, Alessandro Verri et al.2024 · 4 citationsarXiv
Stochastic Zeroth order Descent with Structured Directions2206.05124v3 · Marco Rando, Cesare Molinari, Silvia Villa et al.2022 · 2 citationsarXiv
Iterative regularization in classification via hinge loss diagonal descent2212.12675v2 · Vassilis Apidopoulos, Tomaso Poggio, Lorenzo Rosasco et al.2022 · 1 citationarXiv
Automatic Gain Tuning for Humanoid Robots Walking Architectures Using Gradient-Free Optimization Techniques2409.18649v1 · Carlotta Sartore, Marco Rando, Giulio Romualdi et al.2024 · 2 citationsarXiv
Assumption violations in causal discovery and the robustness of score matching2310.13387v2 · Francesco Montagna, Atalanti A. Mastakouri, Elias Eulig et al.2023 · 2 citationsarXiv
Trust And Balance: Few Trusted Samples Pseudo-Labeling and Temperature Scaled Loss for Effective Source-Free Unsupervised Domain Adaptation2409.00741v1 · Andrea Maracani, Lorenzo Rosasco, Lorenzo Natale2024 · 0 citationsarXiv
Sim2Real Bilevel Adaptation for Object Surface Classification using Vision-Based Tactile Sensors2311.01380v2 · Gabriele M. Caddeo, Andrea Maracani, Paolo D. Alfano et al.2023 · 7 citationsarXiv
A Grasp Pose is All You Need: Learning Multi-fingered Grasping with Deep Reinforcement Learning from Vision and Touch2306.03484v2 · Federico Ceola, Elisa Maiettini, Lorenzo Rosasco et al.2023 · 8 citationsIEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Detroit, MI, 2023
RESPRECT: Speeding-up Multi-fingered Grasping with Residual Reinforcement Learning2401.14858v1 · Federico Ceola, Lorenzo Rosasco, Lorenzo Natale2024 · 11 citationsIEEE Robotics and Automation Letters 9(4), April 2024
Key Design Choices in Source-Free Unsupervised Domain Adaptation: An In-depth Empirical Analysis2402.16090v1 · Andrea Maracani, Raffaello Camoriano, Elisa Maiettini et al.2024 · 0 citationsarXiv
Convergence of the Forward-Backward Algorithm: Beyond the Worst Case with the Help of Geometry1703.09477v4 · Guillaume Garrigos, Lorenzo Rosasco, Silvia Villa2017 · 38 citationsMath. Program. 198, 937-996 (2023)
Accelerated iterative regularization via dual diagonal descent1912.12153v1 · Luca Calatroni, Guillaume Garrigos, Lorenzo Rosasco et al.2019 · 10 citationsSIAM Journal on Optimization, 31(1), 754-784 (2021)
Learning Rhythmic Trajectories with Geometric Constraints for Laser-Based Skincare Procedures2312.13623v1 · Anqing Duan, Wanli Liuchen, Jinsong Wu et al.2023 · 5 citationsarXiv
Top-Tuning: a study on transfer learning for an efficient alternative to fine tuning for image classification with fast kernel methods2209.07932v3 · Paolo Didier Alfano, Vito Paolo Pastore, Lorenzo Rosasco et al.2022 · 22 citationsarXiv
An Optimal Structured Zeroth-order Algorithm for Non-smooth Optimization2305.16024v2 · Marco Rando, Cesare Molinari, Lorenzo Rosasco et al.2023 · 0 citationsarXiv
AdaTask: Adaptive Multitask Online Learning2205.15802v2 · Pierre Laforgue, Andrea Della Vecchia, Nicolo Cesa-Bianchi et al.2022 · 0 citationsarXiv
Shortcuts for causal discovery of nonlinear models by score matching2310.14246v1 · Francesco Montagna, Nicoletta Noceti, Lorenzo Rosasco et al.2023 · 0 citationsarXiv
A Structured Prediction Approach for Robot Imitation Learning2309.14829v1 · Anqing Duan, Iason Batzianoulis, Raffaello Camoriano et al.2023 · 17 citationsarXiv
Estimating Koopman operators with sketching to provably learn large scale dynamical systems2306.04520v2 · Giacomo Meanti, Antoine Chatalic, Vladimir R. Kostic et al.2023 · 4 citationsarXiv
In-domain versus out-of-domain transfer learning in plankton image classification.37369770 · Maracani, Andrea, Pastore, Vito Paolo, Natale, Lorenzo et al.2023 · 41 citationsScientific reports. 2023;13(1):10443
Career total: 320 works. 161 are in this corpus.Showing the 50 most recent.
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