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lie group

50 papers

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Co-occurring keywords

representation learning (6206) neural network (6616) lie algebra (10) pose estimation (1013) manifold learning (403) symmetry learning (11) group equivariance (29) nonlinear optimization (28) skeleton-based action recognition (68) group convolution (32)

Papers

Generalized Tensor-based Parameter-Efficient Fine-Tuning via Lie Group Transformations ICCV 2025
Equivariant Manifold Neural ODEs and Differential Invariants JMLR 2025
A Unified Framework to Enforce, Discover, and Promote Symmetry in Machine Learning JMLR 2025
Convergence of Kinetic Langevin Monte Carlo on Lie groups COLT 2024
Learning Infinitesimal Generators of Continuous Symmetries from Data NIPS 2024
Neural Fields as Distributions: Signal Processing Beyond Euclidean Space CVPR 2024
Quantitative Convergences of Lie Group Momentum Optimizers NIPS 2024
The motion planning neural circuit in goal-directed navigation as Lie group operator search NIPS 2024
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the compact case JMLR 2024
RMLR: Extending Multinomial Logistic Regression into General Geometries NIPS 2024
Unified Framework for Diffusion Generative Models in SO(3): Applications in Computer Vision and Astrophysics AAAI 2024
Lie Group Forced Variational Integrator Networks for Learning and Control of Robot Systems L4DC 2023
Convex Geometric Motion Planning on Lie Groups via Moment Relaxation RSS 2023
A Recurrent Neural Circuit Mechanism of Temporal-scaling Equivariant Representation NIPS 2023
The Lie-Group Bayesian Learning Rule AISTATS 2023
Enabling Equivariance for Arbitrary Lie Groups CVPR 2022
LieGG: Studying Learned Lie Group Generators NIPS 2022
Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups ICML 2022
Learning soft interventions in complex equilibrium systems UAI 2022
SymForce: Symbolic Computation and Code Generation for Robotics RSS 2022
Unified Fourier-based Kernel and Nonlinearity Design for Equivariant Networks on Homogeneous Spaces ICML 2022
Theseus: A Library for Differentiable Nonlinear Optimization NIPS 2022
LieTransformer: Equivariant Self-Attention for Lie Groups ICML 2021
On Path Integration of Grid Cells: Group Representation and Isotropic Scaling NIPS 2021
Tangent Space Backpropagation for 3D Transformation Groups CVPR 2021