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Papers
Supervised and Semi-Supervised Diffusion Maps with Label-Driven Diffusion
ICLR 2025
The Noisy Laplacian: a Threshold Phenomenon for Non-Linear Dimension Reduction
ICML 2025
Diffusion Representation for Asymmetric Kernels via Magnetic Transform
NeurIPS 2023
Kernelized Diffusion Maps
COLT 2023
Diffusion Curvature for Estimating Local Curvature in High Dimensional Data
NeurIPS 2022
On the symmetries of the synchronization problem in Cryo-EM: Multi-Frequency Vector Diffusion Maps on the Projective Plane
NeurIPS 2022
Kernel Learning for Data-Driven Spectral Analysis of Koopman Operators
ACML 2019
Learning low-dimensional state embeddings and metastable clusters from time series data
NeurIPS 2019
Multi-Frequency Vector Diffusion Maps
ICML 2019
Diffusion Maps for Textual Network Embedding
NeurIPS 2018
Statistical Inference Models for Image Datasets With Systematic Variations
CVPR 2015
Permutation Diffusion Maps (PDM) with Application to the Image Association Problem in Computer Vision
NeurIPS 2014
Fast High Dimensional Vector Multiplication Face Recognition
ICCV 2013
Non-rigid Structure from Motion with Diffusion Maps Prior
CVPR 2013
Factorized Diffusion Map Approximation
AISTATS 2012
Learning Gradients: Predictive Models that Infer Geometry and Statistical Dependence
JMLR 2010
Manifold Learning: The Price of Normalization
JMLR 2008