Nick Duffield
8 papers · 2018–2023 · 5 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 ↓
π
Conference Polyglot Β· Silver
π
Academic Marathon Β· Sprint
π
Interdisciplinary Bridge Β· Silver
πΊοΈ
Taxonomy Completionist
(16)
π£
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(6)
Deep Learning
(5)
Models
(4)
Artificial Intelligence
(3)
Architectures
(3)
Bayesian & Probabilistic
(3)
Core Methods
(3)
Optimization & Theory
(3)
Learning Types
(2)
Computer Science
(1)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Applications
(1)
Foundations
(1)
Mathematics
(1)
Keywords
bayesian inference
(2)
multi-omics data
(2)
semi-implicit variational inference
(2)
adaptive sampling
(2)
graph neural network
(2)
representation learning
(2)
relational learning
(1)
uncertainty quantification
(1)
optimal transport
(1)
graph representation learning
(1)
graph structure
(1)
network analysis
(1)
quantile regression
(1)
similarity matrix
(1)
shrinkage estimator
(1)
generative model
(1)
latent representation
(1)
multimodal distribution
(1)
dynamic graph
(1)
node classification
(1)
Papers
Adaptive Conditional Quantile Neural Processes
UAI 2023
MoReL: Multi-omics Relational Learning
ICLR 2022
Adaptive Shrinkage Estimation for Streaming Graphs
NeurIPS 2020
Bayesian Graph Neural Networks with Adaptive Connection Sampling
ICML 2020
BayReL: Bayesian Relational Learning for Multi-omics Data Integration
NeurIPS 2020
Semi-Implicit Graph Variational Auto-Encoders
NeurIPS 2019
Variational Graph Recurrent Neural Networks
NeurIPS 2019
Sampling for Approximate Bipartite Network Projection
IJCAI 2018