Luca Venturi
Luca Venturi
Research Scientist, Meta
Verified email at - Homepage
Cited by
Cited by
Spurious valleys in one-hidden-layer neural network optimization landscapes
L Venturi, AS Bandeira, J Bruna
Journal of Machine Learning Research 20 (133), 1-34, 2019
On the sample complexity of learning with geometric stability
A Bietti, L Venturi, J Bruna
Advances in Neural Information Processing Systems (NeurIPS), 2021
A weighted POD method for elliptic PDEs with random inputs
L Venturi, F Ballarin, G Rozza
Journal of Scientific Computing 81 (1), 136–153, 2019
Depth separation beyond radial functions
L Venturi, S Jelassi, T Ozuch, J Bruna
Journal of Machine Learning Research 23, 1-56, 2021
Diffusion-Based Sampling for Deep Active Learning
D Kushnir, L Venturi
2023 International Conference on Sampling Theory and Applications (SampTA), 1-9, 2023
Depth separation for reduced deep networks in nonlinear model reduction: Distilling shock waves in nonlinear hyperbolic problems
D Rim, L Venturi, J Bruna, B Peherstorfer
arXiv preprint arXiv:2007.13977, 2020
Weighted reduced order methods for parametrized partial differential equations with random inputs
L Venturi, D Torlo, F Ballarin, G Rozza
Uncertainty Modeling for Engineering Applications, 27-40, 2019
Multilevel Stein variational gradient descent with applications to Bayesian inverse problems
T Alsup, L Venturi, B Peherstorfer
Mathematical and Scientific Machine Learning, 93-117, 2022
Methods and apparatuses for training neural networks
D Kushnir, L Venturi
US Patent App. 16/987,892, 2021
Weighted reduced order methods for parametrized PDEs in uncertainty quantification problems
L Venturi
International School for Advanced Studies (SISSA), University of Trieste, 2016
Architectural properties of neural networks for function approximation
L Venturi
New York University, 2021
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