Metric Learning for Clifford Group Equivariant Neural Networks

Metric Learning for Clifford Group Equivariant Neural Networks

13 July 2024

Paulina Kulyt.e

Haitz Sáez de Ocáriz Borde

Papers citing "Metric Learning for Clifford Group Equivariant Neural Networks"

17 / 17 papers shown

Title
AMES: A Differentiable Embedding Space Selection Framework for Latent Graph Inference Yuan Lu Haitz Sáez de Ocáriz Borde Pietro Lio 54 2 0 20 Nov 2023
Neural Snowflakes: Universal Latent Graph Inference via Trainable Latent Geometries Haitz Sáez de Ocáriz Borde Anastasis Kratsios 155 5 0 23 Oct 2023
Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization Haitz Sáez de Ocáriz Borde Alvaro Arroyo Ismael Morales Ingmar Posner Xiaowen Dong 58 10 0 09 Sep 2023
Projections of Model Spaces for Latent Graph Inference Haitz Sáez de Ocáriz Borde Alvaro Arroyo Ingmar Posner 42 9 0 21 Mar 2023
Clifford Neural Layers for PDE Modeling Johannes Brandstetter Rianne van den Berg Max Welling Jayesh K. Gupta AI4CE 87 89 0 08 Sep 2022
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs Cristian Bodnar Francesco Di Giovanni B. Chamberlain Pietro Lio Michael M. Bronstein 69 179 0 09 Feb 2022
Vector Neurons: A General Framework for SO(3)-Equivariant Networks Congyue Deng Or Litany Yueqi Duan A. Poulenard Andrea Tagliasacchi Leonidas Guibas 3DPC 170 325 0 25 Apr 2021
E(n) Equivariant Graph Neural Networks Victor Garcia Satorras Emiel Hoogeboom Max Welling 94 997 0 19 Feb 2021
Learning from Protein Structure with Geometric Vector Perceptrons Bowen Jing Stephan Eismann Patricia Suriana Raphael J. L. Townshend R. Dror GNN 3DV 64 482 0 03 Sep 2020
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks F. Fuchs Daniel E. Worrall Volker Fischer Max Welling 3DPC 149 692 0 18 Jun 2020
Hyperbolic Neural Networks O. Ganea Gary Bécigneul Thomas Hofmann 52 603 0 23 May 2018
Deep Quaternion Networks Chase J. Gaudet Anthony Maida 58 162 0 13 Dec 2017
Backprop as Functor: A compositional perspective on supervised learning Brendan Fong David I. Spivak Rémy Tuyéras 63 95 0 28 Nov 2017
Deep Complex Networks C. Trabelsi O. Bilaniuk Ying Zhang Dmitriy Serdyuk Sandeep Subramanian J. F. Santos Soroush Mehri Negar Rostamzadeh Yoshua Bengio C. Pal 178 833 0 27 May 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 580 7,441 0 04 Apr 2017
Associative Long Short-Term Memory Ivo Danihelka Greg Wayne Benigno Uria Nal Kalchbrenner Alex Graves 54 178 0 09 Feb 2016
Unitary Evolution Recurrent Neural Networks Martín Arjovsky Amar Shah Yoshua Bengio ODL 75 769 0 20 Nov 2015