Grounding Continuous Representations in Geometry: Equivariant Neural Fields

Grounding Continuous Representations in Geometry: Equivariant Neural Fields

9 June 2024

David R. Wessels

David M. Knigge

Riccardo Valperga

Sharvaree P. Vadgama

Erik J. Bekkers

Papers citing "Grounding Continuous Representations in Geometry: Equivariant Neural Fields"

12 / 12 papers shown

Title
Geometry aware inference of steady state PDEs using Equivariant Neural Fields representations Giovanni Catalani Michaël Bauerheim Frédéric Tost Xavier Bertrand Joseph Morlier AI4CE 42 0 0 24 Apr 2025
Flow Matching on Lie Groups Finn M. Sherry Bart M.N. Smets 49 0 0 01 Apr 2025
ARC: Anchored Representation Clouds for High-Resolution INR Classification Joost Luijmes Alexander Gielisse Roman Knyazhitskiy J. C. V. Gemert 33 1 0 19 Mar 2025
Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems Maksim Zhdanov Max Welling Jan Willem van de Meent AI4CE 36 1 0 24 Feb 2025
The NGT200 Dataset: Geometric Multi-View Isolated Sign Recognition Oline Ranum David R. Wessels Gomer Otterspeer Erik J. Bekkers Floris Roelofsen Jari I. Andersen SLR 21 0 0 03 Sep 2024
Space-Time Continuous PDE Forecasting using Equivariant Neural Fields David M. Knigge David R. Wessels Riccardo Valperga Samuele Papa J. Sonke E. Gavves Erik J. Bekkers AI4CE 22 3 0 10 Jun 2024
An Exploration of Conditioning Methods in Graph Neural Networks Yeskendir Koishekenov Erik J. Bekkers AI4CE 24 3 0 03 May 2023
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking Gabriele Corso Hannes Stärk Bowen Jing Regina Barzilay Tommi Jaakkola DiffM 130 399 0 04 Oct 2022
From data to functa: Your data point is a function and you can treat it like one Emilien Dupont Hyunjik Kim S. M. Ali Eslami Danilo Jimenez Rezende Dan Rosenbaum TDI 3DPC 154 136 0 28 Jan 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 161 1,095 0 27 Apr 2021
E(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate Interatomic Potentials Simon L. Batzner Albert Musaelian Lixin Sun Mario Geiger J. Mailoa M. Kornbluth N. Molinari Tess E. Smidt Boris Kozinsky 183 1,218 0 08 Jan 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 234 11,568 0 09 Mar 2017