Valperga, Riccardo

10 publications

ICLR 2025 Grounding Continuous Representations in Geometry: Equivariant Neural Fields David Wessels, David M Knigge, Riccardo Valperga, Samuele Papa, Sharvaree Vadgama, Efstratios Gavves, Erik J Bekkers

ICML 2024 Ai-Sampler: Adversarial Learning of Markov Kernels with Involutive Maps Evgenii Egorov, Riccardo Valperga, Stratis Gavves

ICLRW 2024 Equivariant Neural Fields for Symmetry Preserving Continous PDE Forecasting David M Knigge, David Wessels, Riccardo Valperga, Samuele Papa, Stratis Gavves, Erik J Bekkers

CVPR 2024 How to Train Neural Field Representations: A Comprehensive Study and Benchmark Samuele Papa, Riccardo Valperga, David Knigge, Miltiadis Kofinas, Phillip Lippe, Jan-Jakob Sonke, Efstratios Gavves

NeurIPS 2024 Space-Time Continuous PDE Forecasting Using Equivariant Neural Fields David M. Knigge, David R. Wessels, Riccardo Valperga, Samuele Papa, Jan-Jakob Sonke, Efstratios Gavves, Erik J. Bekkers

NeurIPSW 2023 Data Augmentations in Deep Weight Spaces Aviv Shamsian, David Zhang, Aviv Navon, Yan Zhang, Miltiadis Kofinas, Idan Achituve, Riccardo Valperga, Gertjan Burghouts, Efstratios Gavves, Cees Snoek, Ethan Fetaya, Gal Chechik, Haggai Maron

ICCVW 2023 Geometric Contrastive Learning Yeskendir Koishekenov, Sharvaree P. Vadgama, Riccardo Valperga, Erik J. Bekkers

ICMLW 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

ICMLW 2023 Neural Modulation Fields for Conditional Cone Beam Neural Tomography Samuele Papa, David M Knigge, Riccardo Valperga, Nikita Moriakov, Miltiadis Kofinas, Jan-jakob Sonke, Efstratios Gavves

L4DC 2022 Learning Reversible Symplectic Dynamics Riccardo Valperga, Kevin Webster, Dmitry Turaev, Victoria Klein, Jeroen Lamb