Nick Duffield
8 papers · 2018–2023 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (5) π Academic Marathon (5) π£ Hot Topic Early Bird
π
Cross-Pollinator
(14)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(17)
Conferences
NIPS (4)
ICLR (1)
ICML (1)
IJCAI (1)
UAI (1)
Top co-authors
Research topics
Keywords
semi-implicit variational inference
(2)
bayesian inference
(2)
adaptive sampling
(2)
graph neural network
(2)
representation learning
(2)
relational learning
(1)
uncertainty quantification
(1)
graph representation learning
(1)
graph structure
(1)
network analysis
(1)
quantile regression
(1)
similarity matrix
(1)
shrinkage estimator
(1)
multimodal distribution
(1)
dynamic graph
(1)
node classification
(1)
common neighbor
(1)
unbiased estimator
(1)
stochastic method
(1)
sampling algorithm
(1)
Papers
Adaptive Conditional Quantile Neural Processes
UAI 2023
MoReL: Multi-omics Relational Learning
ICLR 2022
Adaptive Shrinkage Estimation for Streaming Graphs
NIPS 2020
BayReL: Bayesian Relational Learning for Multi-omics Data Integration
NIPS 2020
Bayesian Graph Neural Networks with Adaptive Connection Sampling
ICML 2020
Variational Graph Recurrent Neural Networks
NIPS 2019
Semi-Implicit Graph Variational Auto-Encoders
NIPS 2019
Sampling for Approximate Bipartite Network Projection
IJCAI 2018