Luca Venturi

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 12

Top Topics

Regularization Methods

Intrinsic Dimension

Top Venues

J. Mach. Learn. Res.

Publications

Luca Venturi, Samy Jelassi, Tristan Ozuch, Joan Bruna
Depth separation beyond radial functions. J. Mach. Learn. Res. 23 (2022)
Terrence Alsup, Luca Venturi, Benjamin Peherstorfer
Multilevel Stein variational gradient descent with applications to Bayesian inverse problems. CoRR (2021)
Alberto Bietti, Luca Venturi, Joan Bruna
On the Sample Complexity of Learning under Geometric Stability. NeurIPS (2021)
Luca Venturi, Samy Jelassi, Tristan Ozuch, Joan Bruna
Depth separation beyond radial functions. CoRR (2021)
Alberto Bietti, Luca Venturi, Joan Bruna
On the Sample Complexity of Learning with Geometric Stability. CoRR (2021)
Terrence Alsup, Luca Venturi, Benjamin Peherstorfer
Multilevel Stein variational gradient descent with applications to Bayesian inverse problems. MSML (2021)
Donsub Rim, Luca Venturi, Joan Bruna, Benjamin Peherstorfer
Depth separation for reduced deep networks in nonlinear model reduction: Distilling shock waves in nonlinear hyperbolic problems. CoRR (2020)
Dan Kushnir, Luca Venturi
Diffusion-based Deep Active Learning. CoRR (2020)
Luca Venturi, Afonso S. Bandeira, Joan Bruna
Spurious Valleys in One-hidden-layer Neural Network Optimization Landscapes. J. Mach. Learn. Res. 20 (2019)
Luca Venturi, Francesco Ballarin, Gianluigi Rozza
A Weighted POD Method for Elliptic PDEs with Random Inputs. J. Sci. Comput. 81 (1) (2019)
Luca Venturi, Afonso S. Bandeira, Joan Bruna
Neural Networks with Finite Intrinsic Dimension have no Spurious Valleys. CoRR (2018)
Chen Li, Luca Venturi, Ruitu Xu
Learning the Kernel for Classification and Regression. CoRR (2017)