Matthew Thorpe
5 papers · 2018–2025 · 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
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(14)
Top co-authors
Research topics
Machine Learning
(4)
Deep Learning
(3)
Mathematics & Optimization
(3)
Optimization
(3)
Core Methods
(2)
Learning Types
(2)
Models
(2)
Optimization & Theory · Machine Learning
(2)
Computer Vision
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Mathematics
(1)
Optimization & Theory · Deep Learning
(1)
Processing
(1)
Keywords
optimal transport
(3)
label propagation
(2)
sliced wasserstein distance
(1)
graph-based learning
(1)
probabilistic pca
(1)
probabilistic principal component analysis
(1)
probability measure
(1)
graph diffusion
(1)
entropic regularization
(1)
generative model
(1)
wasserstein metric
(1)
node classification
(1)
transportation plan
(1)
bayesian classification
(1)
partial transport
(1)
graph neural network
(1)
poisson equation
(1)
diffeomorphic deformation
(1)
laplacian learning
(1)
sliced optimal transport
(1)
Papers
Expected Sliced Transport Plans
ICLR 2025
Sliced Optimal Partial Transport
CVPR 2023
GRAND++: Graph Neural Diffusion with A Source Term
ICLR 2022
Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates
ICML 2020
Representing and Learning High Dimensional Data With the Optimal Transport Map From a Probabilistic Viewpoint
CVPR 2018