Equivariant Neural Networks

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  1. Graded Representation Theory of Equivariant Neural Networks

    Sep 22, 2026Mani ShayestehfarEquivariant Neural Networks

  2. Encrypt What Matters: When Selective Homomorphic Inference Is Efficient

    Sep 8, 2026Ali Backour, Juan Reyes, Jaime Punyed +1Homomorphic EncryptionText2Cypher

  3. Equivariance Breaks the Learning Rate

    Sep 8, 2026Andrei Manolache, Mathias NiepertAdamEquivariant Neural Networks

  4. Value-Preserving Architectures for Agentic AI Systems

    Sep 3, 2026Alessandro Pesare, Tommaso Dolci, Katja Hose +1Agentic SystemsMulti-Agent Systems

  5. Rotational Equivariance in Machine Learning: A Comprehensive Tutorial

    Aug 31, 2026Peter Lippmann, Fred A. HamprechtExact EquivarianceEquivariant Neural Networks

  6. Kolmogorov--Arnold against bounded translations

    Aug 31, 2026Sviatoslav V. DzhenzherKolmogorov-Arnold NetworksEquivariant Neural Networks

  7. No Equivariant Architecture Covers All Equivariant Attention

    Aug 31, 2026Tīkun ÔngMulti-Head Self-AttentionEquivariance

  8. Reducing Symmetry Increase in Equivariant Neural Networks

    Aug 12, 2026Ning Lin, Jiacheng Cen, Anyi Li +2EquivarianceEquivariant Neural Networks

  9. Embedding Rotation Invariance for Provable Multi-Oriented Scene Text Recognition

    Aug 11, 2026Zhibin Ma, Pengwen Dai, Yi Liu +3Scene Text RecognitionRotation-Invariant Descriptors

  10. Certified Feedforward Tracking for Unknown Nonlinear Systems via Invertible Neural Networks

    Aug 5, 2026Berk Altiner, Rajasree Sarkar, Arunava Banerjee +2Neural Ordinary Differential EquationsInverse Dynamics

  11. Contrast-invariant deep ptychography neural networks

    Aug 3, 2026Albert Vong, Steven Henke, Oliver Hoidn +6Equivariant Neural NetworksNeural Network

  12. Universality and Approximation Rates of Graph Neural Networks with Random Features

    Jul 29, 2026Lukas Gonon, Thilo Meyer-Brandis, Niklas WeberGraph Neural NetworksNeural-Network Approximation

  13. Generator-Aligned Representation Interfaces for Diagnostic Soft Equivariance

    Jul 28, 2026Weitao Li, Gong ChengExact EquivarianceEquivariant Neural Networks

  14. Normalizing Flows to Reconstruct Pseudo-PDFs

    Jul 28, 2026Yamil Cahuana Medrano, Kostas OrginosNormalizing FlowsEquivariant Neural Networks

  15. SHReg: Strictly Rotation-Equivariant Point Cloud Registration via Spherical Harmonics

    Jul 25, 2026Chongjian Wang, Junjie GaoPoint Cloud RegistrationRotation-Invariant Descriptors

  16. Neural Network-Driven Volatility Drag Mitigation under Aggressive Leverage

    Jul 25, 2026Christian Bongiorno, Efstratios Manolakis, Rosario Nunzio MantegnaStochastic VolatilityPortfolio Optimization

  17. Flash EQ-Linear: Accelerating Equivariant Linear Layers via Group-wise Discrete Fourier Transform

    Jul 23, 2026Zhongchen Zhao, Jixin Wang, Qi Xie +4Equivariant Neural NetworksExact Equivariance

  18. High-Capacity Robust Watermarking Technology for High-Resolution Images

    Jul 19, 2026Shaowu Wu, Wei Lu, Qing Qian +1WatermarkingHigh-Resolution

  19. E3DGS: Unified Geometric-Photometric Equivariance for 3D Gaussian Splatting via Color-as-Geometry Embedding

    Jul 17, 2026Chankyo Kim, Maani Ghaffari3D GaussianExact Equivariance

  20. Conditional Invertible Neural Networks for Data-Driven UAV Control: A 2-D Proof of Concept

    Jul 15, 2026Christian Wittke, Stephan Myschik, Oliver NiggemannQuadrotor ControlNeural Control

  21. EquiFusion: Kinematics-Agnostic Human Motion Prediction via Equivariant Latent Diffusion

    Jul 13, 2026Cecilia Curreli, Florian Hofherr, Dominik Muhle +3Human Motion Prediction3D Pose Estimator

  22. Integrated Forward-Inverse Network for Lensless Image Reconstruction

    Jul 6, 2026Donggeon Bae, Jaewoo Jung, Yong Guk Kang +6Image ReconstructionMotion Blur

  23. Foundations of Equivariant Deep Learning: Unifying Graph and Sheaf Neural Networks

    Jul 4, 2026Yoshihiro MaruyamaEquivariant Neural NetworksGeometric Deep Learning

  24. Spin-Weighted Spherical Harmonics Enable Complete and Scalable E(3)\mathrm{E}(3)-Equivariant Networks

    Jul 1, 2026Chenxing Liang, Yuchao Lin, Andrii Kryvenko +5Equivariant Neural NetworksMolecular Dynamics

  25. Beyond Feedforward Networks: Reentry Neural Systems as the Fundamental Basis of Subjecthood and Intrinsic Safety of Next-Generation AGI

    Jun 24, 2026A. S. Ushakov, Yu. N. BerdinskArtificial Intelligence SafetyArtificial Intelligence Systems

  26. Equivariance and Augmentation for Bayesian Neural Networks

    Jun 24, 2026Miaowen Dong, Axel Flinth, Jan E. GerkenBayesian Neural NetworksEquivariant Neural Networks

  27. Efficient Cross-Scale Invertible Hiding Network with Spatial-Frequency Collaboration and Non-Invertible Mechanism

    Jun 24, 2026Junxue Yang, Xin LiaoEquivariant Neural NetworksLearned Image Compression

  28. REViT: Roto-reflection Equivariant Convolutional Vision Transformer

    Jun 24, 2026Sheir A. Zaheer, Alexander C. Holston, Chan Y. ParkSelf-Supervised Vision TransformersExact Equivariance

  29. Invertible Neural Network Adapter for One-Step Flow Matching in Robot Manipulation

    Jun 17, 2026Yu Zhang, Kangyi Ji, Yongxiang Zou +3Flow-Matching Vision-Language-ActionNext Activity Prediction

  30. What Your Model Threw Away and Why You'll Want It Back: Masking, Fingerprinting, and Privacy from Discarded Geometry

    Jun 17, 2026Zachary P. BradshawFingerprintEquivariant Neural Networks

  31. Task-Restricted Symmetries in Recurrent Weight Space

    Jun 16, 2026Simon DrägerRecurrent Neural NetworksWeight-Space

  32. Scalar-pathway fidelity improves physical accuracy in short-range equivariant interatomic potentials

    Jun 14, 2026Jia Bi, Alin Marin Elena, Samuel PinillaInteratomic PotentialsMolecular Dynamics

  33. LieBN: Batch Normalization over Lie Groups

    Jun 13, 2026Ziheng Chen, Yue Song, Rui Wang +2Batch NormalizationStatistical Manifold

  34. High-Fidelity Video Compression based on Invertible Neural Transform and Implicit Conditioning

    Jun 11, 2026Siyue Teng, Ho Man Kwan, Yuxuan Jiang +2Neural Video CodecsVideo Coding

  35. Conservation Laws from Data Symmetry in Neural Networks

    Jun 9, 2026Jakob Galley, Vahid Shahverdi, Axel FlinthEquivariant Neural NetworksSymmetry

  36. Continuous Neural Reparameterization as a Deep Geometric Prior for Robust Fixed-Chart UV Repair

    Jun 8, 2026Mohammad Sadegh SalehiGeometric ReconstructionReparameterization

  37. Equivariant Neural Belief Propagation

    Jun 4, 2026Zehua Cheng, Wei Dai, Jiahao SunEquivariant Neural NetworksVariational Inference

  38. Tractogram foundation model

    Jun 3, 2026Guikun Chen, Yuqian Chen, Yijie Li +5Brain Magnetic Resonance ImagingBrain

  39. Theoretical Aspects of Lie Groupoid and Lie Algebroid Equivariant Convolutional Neural Networks

    Jun 1, 2026Michael AstwoodEquivariant Neural NetworksNeural Network

  40. Expressivity of congruence-based architectures for DNNs on positive-definite matrices

    Jun 1, 2026Antonin Oswald, Estelle MassartEquivariant Neural NetworksExpressivity

  41. Revisiting Neural Processes via Fourier Transform and Volterra Series

    May 31, 2026Peiman Mohseni, Nick Duffield, Raymond K. W. WongFourierConvolutional

  42. On the Equivariant Learning of the QQ-tensor Order Parameter

    May 26, 2026Julia Navarro, Mark WilkinsonEquivariant Neural NetworksQuantum Neural Networks

  43. How the Optimizer Shapes Learned Solutions in Equivariant Neural Networks

    May 26, 2026Teodor-Mihai Stupariu, Andrei ManolacheEquivariant Neural NetworksNeural Network Optimization

  44. Metric-Aware PCA as a Linear Instance of Geometric Deep Learning

    May 25, 2026Michael LeznikGeometric Deep LearningPrincipal Component Analysis

  45. Tensor Channel Equivariant Graph Neural Networks for Molecular Polarizability Prediction

    May 16, 2026Jean Philip Filling, Daniel Franzen, Michael WandMolecular Property PredictionTensor Networks

  46. TVRN: Invertible Neural Networks for Compression-Aware Temporal Video Rescaling

    May 15, 2026Xinmin Feng, Li Li, Dong Liu +1Neural Video CodecsUltra-Low Bitrates

  47. Twincher: Bijective Representation Learning for Robust Inversion of Continuous Systems

    May 13, 2026Arkady GonoskovInverse DesignEquivariant Neural Networks

  48. Compact SO(3) Equivariant Atomistic Foundation Models via Structural Pruning

    May 9, 2026Chen Wang, Siyu Hu, Guangming Tan +1Equivariant Neural NetworksWireless Foundation Models

  49. Embedding Dimension Lower Bounds for Universality of Deep Sets and Janossy Pooling

    May 8, 2026Ali Syed, Aditya Nambiar, Jonathan W. SiegelEmbedding DimensionEquivariant Neural Networks

  50. A Generalized Singular Value Theory for Neural Networks

    May 7, 2026Brian Charles Brown, Robert Bridges, David Grimsman +2Singular Value DecompositionEquivariant Neural Networks

  51. Geometric Kolmogorov--Arnold Network (GeoKAN)

    May 7, 2026Abhijit Sen, Bikram Keshari Parida, Giridas Maiti +2Kolmogorov-Arnold NetworksGeometry-Aware

  52. Permutation-preserving Functions and Neural Vecchia Covariance Kernels

    May 6, 2026Jian Cao, Nian Liu, Ying LinGaussian ProcessCovariance Estimation

  53. Model synthesis and identifiability analysis of stiff chemical reaction systems with inVAErt networks

    May 5, 2026Sreejata Dey, Guoxiang Grayson Tong, Jonathan F. MacArt +1ReactionSystem Identification

  54. Augmented Equivariant Mesh Networks for Anatomical Segmentation

    May 4, 2026Daniel SaragihAnatomical PriorsMedical Image Segmentation

  55. Generative Design of a Gas Turbine Combustor Using Invertible Neural Networks

    Apr 27, 2026Patrick Krüger, Hanno Gottschalk, Werner Krebs +1Gas Turbine CombustorCombustion Control

  56. Quasi-Equivariant Metanetworks

    Apr 26, 2026Viet-Hoang Tran, An Nguyen, Benoît Guérand +2Equivariant Neural NetworksNeural Architectures

  57. Sheaf Neural Networks on SPD Manifolds: Second-Order Geometric Representation Learning

    Apr 22, 2026Yuhan Peng, Junwen Dong, Yuzhi Zeng +6SheafGraph Neural Networks

  58. Leveraging Kernel Symmetry for Joint Compression and Error Mitigation in Edge Model Transfer

    Apr 19, 2026Anis Hamadouche, Mathini SellathuraiSource-Channel CodingTransmission

  59. Convergence theory for Hermite approximations under adaptive coordinate transformations

    Apr 18, 2026Yahya SalehFourierNormalizing Flows

  60. Amortized Inference for Correlated Discrete Choice Models via Equivariant Neural Networks

    Mar 25, 2026Easton Huch, Michael KeaneDiscrete Choice ModelsMaximum Likelihood