Ian Adelstein
5 papers · 2022–2025 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(10)
Venues
Top co-authors
Research topics
Keywords
manifold learning
(3)
single-cell rna sequencing
(2)
riemannian geometry
(2)
point cloud
(2)
random walk
(1)
spectral analysis
(1)
trajectory inference
(1)
riemannian metric
(1)
graph signal processing
(1)
node classification
(1)
heat kernel
(1)
geometric scattering
(1)
diffusion map
(1)
geodesic distance
(1)
manifold embedding
(1)
fisher information metric
(1)
graph neural network
(1)
heat diffusion
(1)
diffusion embedding
(1)
generative autoencoder
(1)
Papers
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds
AISTATS 2025
BLIS-Net: Classifying and Analyzing Signals on Graphs
AISTATS 2024
A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction
NeurIPS 2023
Neural FIM for learning Fisher information metrics from point cloud data
ICML 2023
Diffusion Curvature for Estimating Local Curvature in High Dimensional Data
NeurIPS 2022