Massimiliano Pontil

Italian Institute of Technology — Italy

Engineering · Physical Sciences

62h-index21.5kcitations312works1.22yr avg
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Research Topics

Sparse and Compressive Sensing Techniques(87), Domain Adaptation and Few-Shot Learning(50), Face and Expression Recognition(44), Machine Learning and Algorithms(41), Neural Networks and Applications(39)

Publications312 total

Toward Scalable and Valid Conditional Independence Testing with Spectral Representations
arXiv (Cornell University)·2025Open Access
Toward Scalable and Valid Conditional Independence Testing with Spectral Representations
ArXiv.org·2025Open Access
Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression
arXiv (Cornell University)·2025Open Access
Generalization of Gibbs and Langevin Monte Carlo Algorithms in the Interpolation Regime
ArXiv.org·2025Open Access
Schedule-Robust Continual Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence·2025Open Access
Fast and Fourier features for transfer learning of interatomic potentials
npj Computational Materials·2025· 7 citedOpen Access
The seeds of the future are in the present: A blind exploration of metastable states
arXiv (Cornell University)·2025Open Access
Meta Representation Learning with Contextual Linear Bandits
Statistical Science·2025
An Empirical Bernstein Inequality for Dependent Data in Hilbert Spaces and Applications
arXiv (Cornell University)·2025Open Access
Equivariant Representation Learning for Symmetry-Aware Inference with Guarantees
arXiv (Cornell University)·2025Open Access
Self-Supervised Evolution Operator Learning for High-Dimensional Dynamical Systems
arXiv (Cornell University)·2025· 1 citedOpen Access
Fast and Fourier Features for Transfer Learning of Interatomic Potentials
arXiv (Cornell University)·2025Open Access
Slow dynamical modes from static averages
The Journal of Chemical Physics·2025· 4 cited
DeltaProduct: Improving State-Tracking in Linear RNNs via Householder Products
arXiv (Cornell University)·2025Open Access
Morphological symmetries in robotics
The International Journal of Robotics Research·2025· 3 citedOpen Access
Hyperparameter Optimization in Machine Learning
Foundations and Trends® in Machine Learning·2025· 6 cited
QuantFormer: Learning to Quantize for Neural Activity Forecasting in Mouse Visual Cortex
arXiv (Cornell University)·2024Open Access
Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues
arXiv (Cornell University)·2024· 1 citedOpen Access
Slow dynamical modes from static averages
2024Open Access
Slow dynamical modes from static averages
2024Open Access
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Frequent Co-authors

Theodoros Evgeniou(11), Andreas A. Argyriou(9), Charles A. Micchelli(9), Tomaso Poggio(6), Anastasios Noulas(4), Salvatore Scellato(4), Cecilia Mascolo(4), Bernardino Romera‐Paredes(4), David T. Jones(3), Karim Lounici(3), Yiming Ying(3), Daniel Buchan(2), Alessandro Verri(2), Renaud Lambiotte(2), Mark Herbster(2), Peixi Peng(2), Tao Xiang(2), Yaowei Wang(2), Tiejun Huang(2), Yonghong Tian(2)