← Authors

David P. Wipf

17 papers · 2006–2022 · 1 conference · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (16) πŸ—ΊοΈ Taxonomy Completionist (44) πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (6) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (9) 🌟 Keyword Trendsetter Combo (3) πŸ† Keyword Champion (3) 🧬 Topic Evolution πŸ’Ž Century Club (17) πŸ—ƒοΈ Keyword Collector (111) ⚑ Prolific Year (6) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer

Conferences

NIPS (17)

Top co-authors

David P Wipf (6) Tong He (3) Quan Gan (3) Zheng Zhang (3) Junchi Yan (3) Srikantan S. Nagarajan (3) Qitian Wu (2) Jian Yao (2) Bin Dai (2) Tianjun Xiao (2)

Keywords

bayesian inference (5) empirical bayesian (3) graph neural network (3) source localization (3) representation learning (3) map estimation (2) self-supervised learning (2) likelihood estimation (2) empirical baye (2) energy function (2) automatic relevance determination (2) sparse estimation (2) sparse bayesian learning (2) node classification (2) feature selection (2) meg eeg (1) model selection (1) compressive sensing (1) self-attention mechanism (1) generative modeling (1)

Papers

Self-supervised Amodal Video Object Segmentation NIPS 2022
Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks NIPS 2022
Transformers from an Optimization Perspective NIPS 2022
Learning Manifold Dimensions with Conditional Variational Autoencoders NIPS 2022
NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification NIPS 2022
Learning Enhanced Representation for Tabular Data via Neighborhood Propagation NIPS 2022
On the Value of Infinite Gradients in Variational Autoencoder Models NIPS 2021
From Canonical Correlation Analysis to Self-supervised Graph Neural Networks NIPS 2021
A Biased Graph Neural Network Sampler with Near-Optimal Regret NIPS 2021
GRIN: Generative Relation and Intention Network for Multi-agent Trajectory Prediction NIPS 2021
Further Analysis of Outlier Detection with Deep Generative Models NIPS 2020
Dual-Space Analysis of the Sparse Linear Model NIPS 2012
Sparse Estimation with Structured Dictionaries NIPS 2011
Sparse Estimation Using General Likelihoods and Non-Factorial Priors NIPS 2009
Estimating the Location and Orientation of Complex, Correlated Neural Activity using MEG NIPS 2008
A New View of Automatic Relevance Determination NIPS 2007
Analysis of Empirical Bayesian Methods for Neuroelectromagnetic Source Localization NIPS 2006