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Papers
A Manifold Perspective on the Statistical Generalization of Graph Neural Networks
ICML 2025
Discovering a Zero (Zero-Vector Class of Machine Learning)
ICML 2025
Fast, Accurate Manifold Denoising by Tunneling Riemannian Optimization
ICML 2025
Harmonizing Geometry and Uncertainty: Diffusion with Hyperspheres
ICML 2025
Sparse Autoencoders, Again?
ICML 2025
The Noisy Laplacian: a Threshold Phenomenon for Non-Linear Dimension Reduction
ICML 2025
Wrapped Gaussian on the manifold of Symmetric Positive Definite Matrices
ICML 2025
A Geometric Explanation of the Likelihood OOD Detection Paradox
ICML 2024
Diffusion Models Encode the Intrinsic Dimension of Data Manifolds
ICML 2024
EquiGraspFlow: SE(3)-Equivariant 6-DoF Grasp Pose Generative Flows
CoRL 2024
Feedback Efficient Online Fine-Tuning of Diffusion Models
ICML 2024