Ian Adelstein
5 papers · 2022–2025 · 3 conferences · across top CS/AI conferences
Achievements
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🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🌍
Conference Polyglot
(3)
🐝
Cross-Pollinator
(13)
Conferences
AISTATS (2)
NIPS (2)
ICML (1)
Top co-authors
Keywords
manifold learning
(2)
point cloud
(2)
riemannian geometry
(2)
graph classification
(1)
random walk
(1)
spectral analysis
(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)
diffusion-based manifold learning
(1)
geometric scattering transform
(1)
single cell rna sequencing
(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
NIPS 2023
Neural FIM for learning Fisher information metrics from point cloud data
ICML 2023
Diffusion Curvature for Estimating Local Curvature in High Dimensional Data
NIPS 2022