Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges

27 April 2021

Joan Bruna

Papers citing "Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges"

40 / 40 papers shown

Title
The Discovery Engine: A Framework for AI-Driven Synthesis and Navigation of Scientific Knowledge Landscapes Vladimir Baulin Austin Cook Daniel Friedman Janna Lumiruusu Andrew Pashea Shagor Rahman Benedikt Waldeck 61 0 0 23 May 2025
Stronger ViTs With Octic Equivariance David Nordström Johan Edstedt Fredrik Kahl Georg Bökman ViT 211 0 0 21 May 2025
AdS-GNN -- a Conformally Equivariant Graph Neural Network Maksim Zhdanov Nabil Iqbal Erik Bekkers Patrick Forré 73 1 0 19 May 2025
Symmetry-Breaking Descent for Invariant Cost Functionals Mikhail Osipov 58 0 0 19 May 2025
Position: An Empirically Grounded Identifiability Theory Will Accelerate Self-Supervised Learning Research Patrik Reizinger Randall Balestriero David Klindt Wieland Brendel 144 0 0 17 Apr 2025
Dysarthria Normalization via Local Lie Group Transformations for Robust ASR Mikhail Osipov 115 1 0 16 Apr 2025
Monocular visual simultaneous localization and mapping: (r)evolution from geometry to deep learning-based pipelines Olaya Álvarez-Tunón Yury Brodskiy Erdal Kayacan 232 6 0 04 Mar 2025
Data Augmentation and Regularization for Learning Group Equivariance Oskar Nordenfors Axel Flinth 96 0 0 10 Feb 2025
Grokking Explained: A Statistical Phenomenon B. W. Carvalho Artur Garcez Luís C. Lamb Emílio Vital Brazil 114 0 0 03 Feb 2025
Field-level simulation-based inference with galaxy catalogs: the impact of systematic effects Natalí S. M. de Santi F. Villaescusa-Navarro L. Abramo Helen Shao Lucia A. Perez ... F. Marinacci D. Spergel K. Dolag L. Hernquist M. Vogelsberger 231 5 0 28 Jan 2025
Graph Counterfactual Explainable AI via Latent Space Traversal Andreas Abildtrup Hansen Paraskevas Pegios Anna Calissano Aasa Feragen OOD BDL AAML 103 0 0 15 Jan 2025
Lorentz-Equivariant Quantum Graph Neural Network for High-Energy Physics Md Abrar Jahin Md. Akmol Masud Md Wahiduzzaman Suva M. F. Mridha Nilanjan Dey 104 1 0 03 Nov 2024
Relaxed Equivariance via Multitask Learning Ahmed A. A. Elhag T. Konstantin Rusch Francesco Di Giovanni Michael Bronstein 87 3 0 23 Oct 2024
Cayley Graph Propagation JJ Wilson Maya Bechler-Speicher Petar Veličković 221 6 0 04 Oct 2024
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups Zakhar Shumaylov Peter Zaika James Rowbottom Ferdia Sherry Melanie Weber Carola-Bibiane Schönlieb 78 5 0 03 Oct 2024
Scale generalisation properties of extended scale-covariant and scale-invariant Gaussian derivative networks on image datasets with spatial scaling variations Andrzej Perzanowski Tony Lindeberg 122 1 0 17 Sep 2024
Symmetry constrained neural networks for detection and localization of damage in metal plates James Amarel Christopher Rudolf Athanasios P. Iliopoulos J. Michopoulos Leslie N. Smith 71 0 0 09 Sep 2024
Learning Regularization for Graph Inverse Problems Moshe Eliasof Md Shahriar Rahim Siddiqui Carola-Bibiane Schönlieb Eldad Haber GNN 165 0 0 19 Aug 2024
A Pattern Language for Machine Learning Tasks Benjamin Rodatz Ian Fan Tuomas Laakkonen Neil John Ortega Thomas Hoffman Vincent Wang-Ma'scianica 92 3 0 02 Jul 2024
Revisiting Random Walks for Learning on Graphs Jinwoo Kim Olga Zaghen Ayhan Suleymanzade Youngmin Ryou Seunghoon Hong 114 1 0 01 Jul 2024
Trade-off between Gradient Measurement Efficiency and Expressivity in Deep Quantum Neural Networks Koki Chinzei Shinichiro Yamano Quoc-Hoan Tran Yasuhiro Endo H. Oshima 82 2 0 26 Jun 2024
Noise-Aware Differentially Private Regression via Meta-Learning Ossi Raisa Stratis Markou Matthew Ashman W. Bruinsma Marlon Tobaben Antti Honkela Richard Turner 169 1 0 12 Jun 2024
Grounding Continuous Representations in Geometry: Equivariant Neural Fields David R. Wessels David M. Knigge Samuele Papa Riccardo Valperga Sharvaree P. Vadgama E. Gavves Erik J. Bekkers 111 9 0 09 Jun 2024
Symmetries in Overparametrized Neural Networks: A Mean-Field View Javier Maass Joaquin Fontbona MLT FedML 131 2 0 30 May 2024
From Learning to Optimize to Learning Optimization Algorithms Camille Castera Peter Ochs 154 1 0 28 May 2024
E(n) Equivariant Topological Neural Networks Claudio Battiloro Ege Karaismailoglu Mauricio Tec George Dasoulas Michelle Audirac Francesca Dominici 98 9 0 24 May 2024
EvGNN: An Event-driven Graph Neural Network Accelerator for Edge Vision Yufeng Yang Adrian Kneip Charlotte Frenkel GNN 89 4 0 30 Apr 2024
Leveraging Interpolation Models and Error Bounds for Verifiable Scientific Machine Learning Tyler Chang Andrew Gillette R. Maulik 194 4 0 04 Apr 2024
Learning with SASQuaTCh: a Novel Variational Quantum Transformer Architecture with Kernel-Based Self-Attention Ethan N. Evans Matthew G. Cook Zachary P. Bradshaw Margarite L. LaBorde 167 5 0 21 Mar 2024
Contextualized Messages Boost Graph Representations Brian Godwin Lim Galvin Brice Lim Renzo Roel Tan Kazushi Ikeda AI4CE 117 2 0 19 Mar 2024
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 224 21 0 28 Feb 2024
Morphological Symmetries in Robotics Daniel Felipe Ordoñez Apraez Giulio Turrisi Vladimir Kostic Mario Martin Antonio Agudo Francesc Moreno-Noguer Massimiliano Pontil Claudio Semini Carlos Mastalli AI4CE 68 6 0 23 Feb 2024
Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs M. Hanik Gabriele Steidl C. V. Tycowicz GNN MedIm 95 3 0 25 Jan 2024
Interpreting Equivariant Representations Andreas Abildtrup Hansen Anna Calissano Aasa Feragen 93 1 0 23 Jan 2024
Neural Lattice Reduction: A Self-Supervised Geometric Deep Learning Approach Giovanni Luca Marchetti Gabriele Cesa Kumar Pratik Arash Behboodi 113 2 0 14 Nov 2023
S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models Tiezhi Wang Nils Strodthoff 83 5 0 10 Oct 2023
Asynchronous Graph Generator Christopher P. Ley Felipe Tobar AI4TS 93 0 0 29 Sep 2023
Transformadores: Fundamentos teoricos y Aplicaciones J. D. L. Torre 132 0 0 18 Feb 2023
Automatic Symmetry Discovery with Lie Algebra Convolutional Network Nima Dehmamy Robin Walters Yanchen Liu Dashun Wang Rose Yu AI4CE 160 88 0 15 Sep 2021
Learning the Travelling Salesperson Problem Requires Rethinking Generalization Chaitanya K. Joshi Quentin Cappart Louis-Martin Rousseau T. Laurent 180 117 0 12 Jun 2020