Karl Stelzner
6 papers · 2019–2020 · 4 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (14) π£ Hot Topic Early Bird π Conference Pioneer
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Research topics
Machine Learning
(5)
Artificial Intelligence
(4)
Deep Learning
(4)
Models
(4)
Bayesian & Probabilistic Β· Machine Learning
(3)
Bayesian & Probabilistic Β· Artificial Intelligence
(3)
Core Methods
(3)
Computer Vision
(2)
Analysis
(2)
Application Areas
(1)
Architectures
(1)
Core AI
(1)
Learning Types
(1)
Optimization & Theory
(1)
Keywords
sum-product network
(4)
probabilistic modeling
(2)
tractable inference
(2)
bayesian inference
(1)
scene understanding
(1)
density estimation
(1)
uncertainty quantification
(1)
video prediction
(1)
deep learning
(1)
automatic differentiation
(1)
exact inference
(1)
model pruning
(1)
expectation-maximization algorithm
(1)
generative model
(1)
probabilistic model
(1)
state space model
(1)
probabilistic graphical model
(1)
autoregressive model
(1)
variational autoencoder
(1)
model-based control
(1)
Papers
Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures
PGM 2020
Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits
ICML 2020
Residual Sum-Product Networks
PGM 2020
Structured Object-Aware Physics Prediction for Video Modeling and Planning
ICLR 2020
Faster Attend-Infer-Repeat with Tractable Probabilistic Models
ICML 2019
Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning
UAI 2019