Riccardo Valperga

According to our database, Riccardo Valperga authored at least 6 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

How to Train Neural Field Representations: A Comprehensive Study and Benchmark.

Samuele Papa, Riccardo Valperga, David M. Knigge, Miltiadis Kofinas, Phillip Lippe, Jan-Jakob Sonke, Efstratios Gavves

CoRR, 2023

Data Augmentations in Deep Weight Spaces.

Aviv Shamsian, David W. Zhang, Aviv Navon, Yan Zhang, Miltiadis Kofinas, Idan Achituve, Riccardo Valperga, Gertjan J. Burghouts, Efstratios Gavves, Cees G. M. Snoek, Ethan Fetaya, Gal Chechik, Haggai Maron

CoRR, 2023

Neural Modulation Fields for Conditional Cone Beam Neural Tomography.

Samuele Papa, David M. Knigge, Riccardo Valperga, Nikita Moriakov, Miltos Kofinas, Jan-Jakob Sonke, Efstratios Gavves

CoRR, 2023

Learning Lie Group Symmetry Transformations with Neural Networks.

Alex Gabel, Victoria Klein, Riccardo Valperga, Jeroen S. W. Lamb, Kevin Webster, Rick Quax, Efstratios Gavves

Proceedings of the Topological, 2023

Geometric Contrastive Learning.

Yeskendir Koishekenov, Sharvaree P. Vadgama, Riccardo Valperga, Erik J. Bekkers

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Learning Reversible Symplectic Dynamics.

Riccardo Valperga, Kevin Webster, Dmitry Turaev, Victoria Klein, Jeroen S. W. Lamb

Proceedings of the Learning for Dynamics and Control Conference, 2022