Equivariant Neural Networks

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18 papers in the last four weeks, up 38% on the four weeks before. 0.1% of all new papers.

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  1. UNet-AF: Alias-free UNet architectures

    Mar 11, 2026Jérémy Scanvic, Quentin Barthélemy, Julián TachellaU-NetEquivariant Neural Networks

    ENSL, CNRS, Laboratoire de Physique, F-69364 Lyon, France. · Hirsch Secure, Lyon, France.

  2. Rotation Equivariant Mamba for Vision Tasks

    Mar 10, 2026Zhongchen Zhao, Qi Xie, Keyu Huang +3Equivariant Neural NetworksNeural Network Robustness

    School of Mathematics and Statistics, Xi’an Jiaotong University, Shaanxi, P.R. China · Department of Computing, the Hong Kong Polytechnic University, Hong Kong, P.R. China

  3. Integral Formulas for Vector Signal Tensor Products

    Mar 9, 2026Valentin Heyraud, Zachary Weller-Davies, Jules TillyEquivariant Neural Networks

    InstaDeep, 1 Triton Square, London, NW1 3BF, United Kingdom

  4. Generalized Reduction to the Isotropy for Flexible Equivariant Neural Fields

    Mar 8, 2026Alejandro García-Castellanos, Gijs Bellaard, Remco Duits +2Equivariant Neural NetworksInvariant Representation Learning

    Amsterdam Machine Learning Lab (AMLab), University of Amsterdam · Department of Mathematics and Computer Science, Eindhoven University of Technology · Leiden Institute of Advanced Computer Science, Universiteit Leiden

  5. A Hypertoroidal Covering for Perfect Color Equivariance

    Mar 4, 2026Yulong Yang, Zhikun Xu, Yaojun Li +1Equivariant Neural Networks

    Princeton University · Tsinghua University

  6. Soft Equivariance Regularization for Invariant Self-Supervised Learning

    Mar 4, 2026Joohyung Lee, Changhun Kim, Hyunsu Kim +2Self-Supervised Visual Representation LearningEquivariant Representation Learning

    AITRICS · Voronoi Inc. · Korea Advanced Institute of Science and Technology (KAIST)

  7. Information Routing in Atomistic Foundation Models: How Task Alignment and Equivariance Shape Linear Disentanglement

    Mar 3, 2026Joshua SteierMolecular Representation LearningRepresentation Disentanglement

    Independent Researcher

  8. Scale-invariant Gaussian derivative residual networks

    Mar 3, 2026Andrzej Perzanowski, Tony LindebergOOD GeneralizationEquivariant Neural Networks

    Computational Brain Science Lab, Department of Computational Science and Technology, KTH Royal Institute of Technology, SE-100 44 Stockholm, Sweden.

  9. Symbol-Equivariant Recurrent Reasoning Models

    Mar 2, 2026Richard Freinschlag, Timo Bertram, Erich Kobler +2Neural Algorithmic ReasoningAlgorithmic Reasoning

    ELLIS Unit Linz, LIT AI Lab & Institute for Machine Learning, Johannes Kepler University Linz, Austria · Clinical Research Institute for Medical AI, Johannes Kepler University Linz, Austria

  10. Perspective-Equivariant Fine-tuning for Multispectral Demosaicing without Ground Truth

    Mar 2, 2026Andrew Wang, Mike DaviesComputational ImagingImage Restoration

    School of Engineering, University of Edinburgh

  11. Asymptotically Fast Clebsch-Gordan Tensor Products with Vector Spherical Harmonics

    Feb 25, 2026YuQing Xie, Ameya Daigavane, Mit Kotak +1Spherical HarmonicsEquivariant Neural Networks

    Department of EECS, Massachusetts Institute of Technology, Cambridge, MA 02139, USA · Department of CSE, Massachusetts Institute of Technology, Cambridge, MA 02139, USA

  12. Quantitative Approximation Rates for Group Equivariant Learning

    Feb 23, 2026Jonathan W. Siegel, Snir Hordan, Hannah Lawrence +2Equivariant Neural NetworksNeural Network Approximation Theory

    Department of Mathematics, Texas A&M University, College Station, TX, 77840, USA · Faculty of Mathematics, Technion- Israel Institute of Technology, Haifa, 3200003, Israel · Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, 02139 USA

  13. Latent Equivariant Operators for Robust Object Recognition: Promises and Challenges

    Feb 20, 2026Minh Dinh, Stéphane DenyEquivariant Neural NetworksImage Classification

    Department of Computer Science, Dartmouth College, Hanover, NH 03755, USA · Departments of Computer Science & Neuroscience and Biomedical Engineering, Aalto University, Espoo, Finland

  14. Multi-objective optimization and quantum hybridization of equivariant deep learning interatomic potentials

    Feb 18, 2026G. Laskaris, D. Morozov, D. Tarpanov +6Machine Learning Interatomic PotentialsHybrid Quantum-Classical ML

    Terra Quantum AG, Kornhausstrasse 25, 9000 St. Gallen, Switzerland · LIACS, Leiden University, Netherlands · Nanoscience Center and Department of Chemistry, University of Jyväskylä, P.O. Box 35, 40014 Jyväskylä, Finland +2

  15. A Graph Meta-Network for Learning on Kolmogorov-Arnold Networks

    Feb 18, 2026Guy Bar-Shalom, Ami Tavory, Itay Evron +3Kolmogorov-Arnold NetworksEquivariant Neural Networks

    Technion, Meta · Meta · Meta, Ben-Gurion University of the Negev +1

  16. VENI: Variational Encoder for Natural Illumination

    Jan 20, 2026Paul Walker, James A. D. Gardner, Andreea Ardelean +2Variational AutoencodersInverse Rendering

    Friedrich-Alexander-Universität Erlangen-Nürnberg · University of York

  17. On the Role of Rotation Equivariance in Monocular 2D-to-3D Human Pose Lifting

    Jan 20, 2026Pavlo Melnyk, Cuong Le, Urs Waldmann +2Data AugmentationEquivariant Neural Networks

    CVL, Linköping University · Independent Researcher

  18. Soft Geometric Inductive Bias for Object Centric Dynamics

    Dec 17, 2025Hampus Linander, Conor Heins, Alexander Tschantz +2World Model LearningWorld Models

    VERSES AI · University of Sussex, Department of Informatics

  19. Equivariant symmetry-aware head pose estimation for fetal MRI

    Dec 4, 2025Ramya Muthukrishnan, Borjan Gagoski, Aryn Lee +4Object Pose EstimationEquivariant Neural Networks

    MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, USA · Boston Children’s Hospital and Harvard Medical School, Boston, USA · Inria, Université Côte d’Azur, Sophia Antipolis, France

  20. VEDA: Generation of 3D Molecules via Variance-Exploding Diffusion with Annealing

    Nov 11, 2025Peining Zhang, Jinbo Bi, Minghu Song3D Molecular GenerationDiffusion Models

    University of Connecticut, Storrs, Connecticut 06269, USA · Institute of Health and Medicine, Hefei Comprehensive National Science Center, Hefei 230601, China

  21. Conditional Clifford-Steerable CNNs for PDE Modeling

    Oct 15, 2025Bálint László Szarvas, Maksim ZhdanovDynamic ConvolutionPDE Surrogate Modeling

    University of Amsterdam · 2AMLab.

  22. Quick ViTs: Speeding up Vision Transformers through Equivariance

    May 21, 2025David Nordström, Johan Edstedt, Fredrik Kahl +1Vision TransformerEquivariant Neural Networks

    Chalmers University of Technology · Linköping University · University of Amsterdam

  23. Surrogate Modeling of 3D Rayleigh-Benard Convection with Equivariant Autoencoders

    May 19, 2025Fynn Fromme, Hans Harder, Christine Allen-Blanchette +1AutoencodersPDE Surrogate Modeling

    Lamarr Institute for Machine Learning and Artificial Intelligence and Karlsruhe Institute of Technology · Lamarr Institute for Machine Learning and Artificial Intelligence and Department of Computer Science at Paderborn University · Department of Mechanical and Aerospace Engineering Center for Statistics and Machine Learning Princeton University +1

  24. Learning Chern Numbers of Topological Insulators with Gauge Equivariant Neural Networks

    Feb 21, 2025Longde Huang, Oleksandr Balabanov, Hampus Linander +3Equivariant Neural NetworksMaterials Science

    Department of Mathematical Sciences, Chalmers University of Technology and University of Gothenburg, SE-412 96 Gothenburg, Sweden. · Department of Physics, Stockholm University, AlbaNova University Center, SE-106 91 Stockholm, Sweden · VERSES AI Research Lab, Los Angeles, USA +1

  25. Robustness and Structure Preservation in Flow-Based Generative Models via Wasserstein Path-Space Divergences

    Oct 2, 2024Ziyu Chen, Markos A. Katsoulakis, Benjamin J. ZhangFlow MatchingEquivariant Neural Networks

    Department of Mathematics and School of Data and Information Sciences, University of North Carolina at Chapel Hill · Department of Mathematics and Statistics, University of Massachusetts Amherst · Department of Mathematics, Rutgers University–New Brunswick

  26. Optimal Symmetries in Binary Classification

    Aug 16, 2024Vishal S. Ngairangbam, Michael SpannowskyEquivariant Neural NetworksBinary Classification

    Department of Physics, Durham University Durham DH1 3LE, United Kingdom