Lawrence Carin Duke
8 papers · 2018–2019 · 1 venue · across top CS/AI venues
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Achievements
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Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(16)
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Hot Topic Early Bird
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Prolific Year · Productive
Venues
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Research topics
Machine Learning
(8)
Deep Learning
(5)
Core Methods
(5)
Learning Types · Machine Learning
(4)
Models
(3)
Computer Vision
(2)
Generation
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory
(2)
Artificial Intelligence
(1)
Healthcare & Medicine
(1)
Mathematics & Optimization
(1)
Architectures
(1)
Clinical
(1)
Learning Paradigms
(1)
Keywords
generative adversarial network
(3)
node embedding
(2)
variational inference
(2)
adversarial learning
(2)
survival analysis
(1)
graph matching
(1)
density estimation
(1)
marginal distribution
(1)
distribution matching
(1)
nonparametric estimation
(1)
diffusion process
(1)
importance weighting
(1)
likelihood estimation
(1)
stochastic block model
(1)
conditional distribution
(1)
community discovery
(1)
latent variable model
(1)
diffusion model
(1)
optimal transport
(1)
model selection
(1)
Papers
Gromov-Wasserstein Learning for Graph Matching and Node Embedding
ICML 2019
Stochastic Blockmodels meet Graph Neural Networks
ICML 2019
Variational Annealing of GANs: A Langevin Perspective
ICML 2019
Adversarial Time-to-Event Modeling
ICML 2018
Chi-square Generative Adversarial Network
ICML 2018
Continuous-Time Flows for Efficient Inference and Density Estimation
ICML 2018
JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets
ICML 2018
Variational Inference and Model Selection with Generalized Evidence Bounds
ICML 2018