David P. Wipf
17 papers · 2006–2022 · 1 venue · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (43) π Academic Marathon Β· Full π Interdisciplinary Bridge Β· Silver π Keyword Trendsetter Combo (5)
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Keyword Champion
(3)
π§
Keyword Pioneer
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Trend Setter
π
Conference Pioneer
ποΈ
Keyword Collector
(118)
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Prolific Year Β· Productive
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Renaissance Researcher
(5)
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Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(15)
Optimization & Theory
(10)
Artificial Intelligence
(9)
Deep Learning
(9)
Core Methods
(9)
Architectures
(7)
Bayesian & Probabilistic Β· Artificial Intelligence
(6)
Bayesian & Probabilistic Β· Machine Learning
(4)
Learning Types Β· Machine Learning
(4)
Mathematics & Optimization
(3)
Learning Types Β· Deep Learning
(3)
Models
(3)
Optimization
(3)
Healthcare & Medicine
(2)
Clinical
(2)
Keywords
bayesian inference
(5)
empirical bayesian
(3)
empirical baye
(3)
graph neural network
(3)
source localization
(3)
representation learning
(3)
map estimation
(2)
node classification
(2)
sparse optimization
(2)
likelihood estimation
(2)
energy function
(2)
automatic relevance determination
(2)
feature selection
(2)
sparse estimation
(2)
sparse bayesian learning
(2)
self-supervised learning
(2)
meg eeg
(1)
model selection
(1)
compressive sensing
(1)
self-attention mechanism
(1)
Papers
Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks
NeurIPS 2022
Learning Enhanced Representation for Tabular Data via Neighborhood Propagation
NeurIPS 2022
Learning Manifold Dimensions with Conditional Variational Autoencoders
NeurIPS 2022
NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification
NeurIPS 2022
Self-supervised Amodal Video Object Segmentation
NeurIPS 2022
Transformers from an Optimization Perspective
NeurIPS 2022
A Biased Graph Neural Network Sampler with Near-Optimal Regret
NeurIPS 2021
From Canonical Correlation Analysis to Self-supervised Graph Neural Networks
NeurIPS 2021
GRIN: Generative Relation and Intention Network for Multi-agent Trajectory Prediction
NeurIPS 2021
On the Value of Infinite Gradients in Variational Autoencoder Models
NeurIPS 2021
Further Analysis of Outlier Detection with Deep Generative Models
NeurIPS 2020
Dual-Space Analysis of the Sparse Linear Model
NeurIPS 2012
Sparse Estimation with Structured Dictionaries
NeurIPS 2011
Sparse Estimation Using General Likelihoods and Non-Factorial Priors
NeurIPS 2009
Estimating the Location and Orientation of Complex, Correlated Neural Activity using MEG
NeurIPS 2008
A New View of Automatic Relevance Determination
NeurIPS 2007
Analysis of Empirical Bayesian Methods for Neuroelectromagnetic Source Localization
NeurIPS 2006