Karl Stelzner

According to our database1, Karl Stelzner authored at least 13 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Elements of Unsupervised Scene Understanding: Objectives, Structures, and Modalities.
PhD thesis, 2023

2022
Conditional sum-product networks: Modular probabilistic circuits via gate functions.
Int. J. Approx. Reason., 2022

Right for the Right Latent Factors: Debiasing Generative Models via Disentanglement.
CoRR, 2022

2021
Decomposing 3D Scenes into Objects via Unsupervised Volume Segmentation.
CoRR, 2021

2020
Residual Sum-Product Networks.
Proceedings of the International Conference on Probabilistic Graphical Models, 2020

Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures.
Proceedings of the International Conference on Probabilistic Graphical Models, 2020

Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits.
Proceedings of the 37th International Conference on Machine Learning, 2020

Structured Object-Aware Physics Prediction for Video Modeling and Planning.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Random Sum-Product Forests with Residual Links.
CoRR, 2019

SPFlow: An Easy and Extensible Library for Deep Probabilistic Learning using Sum-Product Networks.
CoRR, 2019

Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Faster Attend-Infer-Repeat with Tractable Probabilistic Models.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Probabilistic Deep Learning using Random Sum-Product Networks.
CoRR, 2018


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