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lie group

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representation learning (6) lie algebra (4) group equivariance (3) equivariant neural network (3) neural network (3) pose estimation (3) manifold learning (3) symmetry learning (2) nonlinear optimization (2) skeleton-based action recognition (2)

Papers

A Unified Framework to Enforce, Discover, and Promote Symmetry in Machine Learning JMLR 2025 Equivariant Manifold Neural ODEs and Differential Invariants JMLR 2025 Generalized Tensor-based Parameter-Efficient Fine-Tuning via Lie Group Transformations ICCV 2025 Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups ICLR 2025 Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups ICLR 2025 A Lie Group Approach to Riemannian Batch Normalization ICLR 2024 Convergence of Kinetic Langevin Monte Carlo on Lie groups COLT 2024 Learning Infinitesimal Generators of Continuous Symmetries from Data NeurIPS 2024 Lie Group Decompositions for Equivariant Neural Networks ICLR 2024 Neural Fields as Distributions: Signal Processing Beyond Euclidean Space CVPR 2024 Quantitative Convergences of Lie Group Momentum Optimizers NeurIPS 2024 RMLR: Extending Multinomial Logistic Regression into General Geometries NeurIPS 2024 Sample Complexity Bounds for Estimating Probability Divergences under Invariances ICML 2024 Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the compact case JMLR 2024 The motion planning neural circuit in goal-directed navigation as Lie group operator search NeurIPS 2024 Unified Framework for Diffusion Generative Models in SO(3): Applications in Computer Vision and Astrophysics AAAI 2024 A Recurrent Neural Circuit Mechanism of Temporal-scaling Equivariant Representation NeurIPS 2023 Convex Geometric Motion Planning on Lie Groups via Moment Relaxation RSS 2023 Lie Group Forced Variational Integrator Networks for Learning and Control of Robot Systems L4DC 2023 The Lie-Group Bayesian Learning Rule AISTATS 2023 Enabling Equivariance for Arbitrary Lie Groups CVPR 2022 Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups ICML 2022 Learning soft interventions in complex equilibrium systems UAI 2022 LieGG: Studying Learned Lie Group Generators NeurIPS 2022 SymForce: Symbolic Computation and Code Generation for Robotics RSS 2022