Erik B. Sudderth
26 papers · 2007–2024 · 6 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (7) πΊοΈ Taxonomy Completionist (21) π£ Hot Topic Early Bird
π
Academic Marathon
(17)
π§
Keyword Pioneer
π
Conference Polyglot
(6)
π
Keyword Trendsetter Combo
(8)
π±
Topic Pioneer
π
Keyword Champion
(2)
π
Century Club
(26)
π
Trend Setter
π
Conference Pioneer
π₯
Unstoppable
(7)
ποΈ
Keyword Collector
(75)
Conferences
NIPS (17)
CVPR (4)
UAI (2)
ICCV (1)
ICML (1)
JMLR (1)
Top co-authors
Keywords
bayesian nonparametrics
(7)
variational inference
(7)
nonparametric bayesian
(5)
graphical model
(4)
markov chain monte carlo
(4)
image segmentation
(3)
hierarchical dirichlet process
(3)
markov random field
(3)
topic model
(3)
hierarchical model
(3)
beta process
(2)
bayesian inference
(2)
particle filter
(2)
scene segmentation
(2)
optical flow
(2)
bethe approximation
(2)
belief propagation
(2)
loopy belief propagation
(2)
topic modeling
(2)
scene understanding
(2)
Papers
Learning to be Smooth: An End-to-End Differentiable Particle Smoother
NIPS 2024
Differentiable and Stable Long-Range Tracking of Multiple Posterior Modes
NIPS 2023
A decoder suffices for query-adaptive variational inference
UAI 2023
Unbiased learning of deep generative models with structured discrete representations
NIPS 2023
Thinned random measures for sparse graphs with overlapping communities
NIPS 2022
Scalable and Stable Surrogates for Flexible Classifiers with Fairness Constraints
NIPS 2021
3D Scene Reconstruction With Multi-Layer Depth and Epipolar Transformers
ICCV 2019
Variational Training for Large-Scale Noisy-OR Bayesian Networks
UAI 2019
3D Object Detection With Latent Support Surfaces
CVPR 2018
From Patches to Images: A Nonparametric Generative Model
ICML 2017
Refinery: An Open Source Topic Modeling Web Platform
JMLR 2017
Three-Dimensional Object Detection and Layout Prediction Using Clouds of Oriented Gradients
CVPR 2016
Layered RGBD Scene Flow Estimation
CVPR 2015
A Fully-Connected Layered Model of Foreground and Background Flow
CVPR 2013
Truly Nonparametric Online Variational Inference for Hierarchical Dirichlet Processes
NIPS 2012
Minimization of Continuous Bethe Approximations: A Positive Variation
NIPS 2012
Effective Split-Merge Monte Carlo Methods for Nonparametric Models of Sequential Data
NIPS 2012
From Deformations to Parts: Motion-based Segmentation of 3D Objects
NIPS 2012
Spatial distance dependent Chinese restaurant processes for image segmentation
NIPS 2011
The Doubly Correlated Nonparametric Topic Model
NIPS 2011
Layered image motion with explicit occlusions, temporal consistency, and depth ordering
NIPS 2010
Global seismic monitoring as probabilistic inference
NIPS 2010
Sharing Features among Dynamical Systems with Beta Processes
NIPS 2009
Nonparametric Bayesian Learning of Switching Linear Dynamical Systems
NIPS 2008
Shared Segmentation of Natural Scenes Using Dependent Pitman-Yor Processes
NIPS 2008
Loop Series and Bethe Variational Bounds in Attractive Graphical Models
NIPS 2007