Luca Venturi

According to our database, Luca Venturi authored at least 10 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Depth separation beyond radial functions.

Luca Venturi, Samy Jelassi, Tristan Ozuch, Joan Bruna

J. Mach. Learn. Res., 2022

2021

On the Sample Complexity of Learning with Geometric Stability.

Alberto Bietti, Luca Venturi, Joan Bruna

CoRR, 2021

On the Sample Complexity of Learning under Geometric Stability.

Alberto Bietti, Luca Venturi, Joan Bruna

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Multilevel Stein variational gradient descent with applications to Bayesian inverse problems.

Terrence Alsup, Luca Venturi, Benjamin Peherstorfer

Proceedings of the Mathematical and Scientific Machine Learning, 2021

2020

Depth separation for reduced deep networks in nonlinear model reduction: Distilling shock waves in nonlinear hyperbolic problems.

Donsub Rim, Luca Venturi, Joan Bruna, Benjamin Peherstorfer

CoRR, 2020

Diffusion-based Deep Active Learning.

Dan Kushnir, Luca Venturi

CoRR, 2020

2019

A Weighted POD Method for Elliptic PDEs with Random Inputs.

Luca Venturi, Francesco Ballarin, Gianluigi Rozza

J. Sci. Comput., 2019

Spurious Valleys in One-hidden-layer Neural Network Optimization Landscapes.

Luca Venturi, Afonso S. Bandeira, Joan Bruna

J. Mach. Learn. Res., 2019

2018

Neural Networks with Finite Intrinsic Dimension have no Spurious Valleys.

Luca Venturi, Afonso S. Bandeira, Joan Bruna

CoRR, 2018

2017

Learning the Kernel for Classification and Regression.

Chen Li, Luca Venturi, Ruitu Xu

CoRR, 2017