David P. Wipf

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

Achievements

+10 more ↓

🏃 Academic Marathon (16) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🐝 Cross-Pollinator (9)

🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (9) 🌟 Keyword Trendsetter Combo (3) 🏆 Keyword Champion (3) 🧬 Topic Evolution 💎 Century Club (17) 🗃️ Keyword Collector (111) ⚡ Prolific Year (6) 📈 Trend Setter 🚀 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