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Papers
Breaking One-Size-Fits-All: Revisiting Out-of-Distribution Detection on Graphs Under Diverse Distribution Shifts
AAAI 2026
ReManNet: A Riemannian Manifold Network for Monocular 3D Lane Detection
CVPR 2026
RiemanLine: Riemannian Manifold Representation of 3D Lines for Factor Graph Optimization
AAAI 2026
Riemannian Manifold Learning for Stackelberg Games with Neural Flow Representations
AAAI 2026
A Decentralized Proximal Gradient Tracking Algorithm for Composite Optimization on Riemannian Manifolds
JMLR 2025
Around the World in 80 Timesteps: A Generative Approach to Global Visual Geolocation
CVPR 2025
Beyond Flatland: A Geometric Take on Matching Methods for Treatment Effect Estimation
CLeaR 2025
Deep Generative Models: Complexity, Dimensionality, and Approximation
JMLR 2025
Density Ratio Estimation via Sampling along Generalized Geodesics on Statistical Manifolds
AISTATS 2025
Efficient Diffusion Models for Symmetric Manifolds
ICML 2025
Efficient Optimization with Orthogonality Constraint: a Randomized Riemannian Submanifold Method
ICML 2025
Faster Convergence of Riemannian Stochastic Gradient Descent with Increasing Batch Size
ACML 2025
Geodesic Slice Sampler for Multimodal Distributions with Strong Curvature
UAI 2025
GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts
AAAI 2025
Gyrogroup Batch Normalization
ICLR 2025
Isometric Regularization for Manifolds of Functional Data
ICLR 2025
Local convergence of simultaneous min-max algorithms to differential equilibrium on Riemannian manifold
ICLR 2025
Neural networks on Symmetric Spaces of Noncompact Type
ICLR 2025
Residual Deep Gaussian Processes on Manifolds
ICLR 2025
Riemann$^2$: Learning Riemannian Submanifolds from Riemannian Data
AISTATS 2025
Riemannian Bilevel Optimization
JMLR 2025
Riemannian Diffusion Adaptation for Distributed Optimization on Manifolds
ICML 2025
Sampling and Estimation on Manifolds using the Langevin Diffusion
JMLR 2025
Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds
JMLR 2025
Spectro-Riemannian Graph Neural Networks
ICLR 2025