Karl Stelzner - RankMe

16 papers A* 3A 1Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2023	—	`—`	Elements of Unsupervised Scene Understanding: Objectives, Structures, and Modalities. Karl Stelzner
2022	J	`jnl`	Conditional sum-product networks: Modular probabilistic circuits via gate functions. Int. J. Approx. Reason. Xiaoting Shao, Alejandro Molina, Antonio Vergari, Karl Stelzner, Robert Peharz, Thomas Liebig, Kristian Kersting
2022	J	`jnl`	Right for the Right Latent Factors: Debiasing Generative Models via Disentanglement. CoRR Xiaoting Shao, Karl Stelzner, Kristian Kersting
2021	J	`jnl`	Decomposing 3D Scenes into Objects via Unsupervised Volume Segmentation. CoRR Karl Stelzner, Kristian Kersting, Adam R. Kosiorek
2020	—	`conf`	Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures. PGM Xiaoting Shao, Alejandro Molina, Antonio Vergari, Karl Stelzner, Robert Peharz, Thomas Liebig, Kristian Kersting
2020	A*	`conf`	Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits. ICML Robert Peharz, Steven Lang, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Guy Van den Broeck, Kristian Kersting, Zoubin Ghahramani
2020	J	`jnl`	Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits. CoRR Robert Peharz, Steven Lang, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Guy Van den Broeck, Kristian Kersting, Zoubin Ghahramani
2020	—	`conf`	Residual Sum-Product Networks. PGM Fabrizio Ventola, Karl Stelzner, Alejandro Molina, Kristian Kersting
2020	A*	`conf`	Structured Object-Aware Physics Prediction for Video Modeling and Planning. ICLR Jannik Kossen, Karl Stelzner, Marcel Hussing, Claas Voelcker, Kristian Kersting
2019	J	`jnl`	Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures. CoRR Xiaoting Shao, Alejandro Molina, Antonio Vergari, Karl Stelzner, Robert Peharz, Thomas Liebig, Kristian Kersting
2019	A*	`conf`	Faster Attend-Infer-Repeat with Tractable Probabilistic Models. ICML Karl Stelzner, Robert Peharz, Kristian Kersting
2019	J	`jnl`	Random Sum-Product Forests with Residual Links. CoRR Fabrizio Ventola, Karl Stelzner, Alejandro Molina, Kristian Kersting
2019	A	`conf`	Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning. UAI Robert Peharz, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Xiaoting Shao, Kristian Kersting, Zoubin Ghahramani
2019	J	`jnl`	SPFlow: An Easy and Extensible Library for Deep Probabilistic Learning using Sum-Product Networks. CoRR Alejandro Molina, Antonio Vergari, Karl Stelzner, Robert Peharz, Pranav Subramani, Nicola Di Mauro, Pascal Poupart, Kristian Kersting
2019	J	`jnl`	Structured Object-Aware Physics Prediction for Video Modeling and Planning. CoRR Jannik Kossen, Karl Stelzner, Marcel Hussing, Claas Voelcker, Kristian Kersting
2018	J	`jnl`	Probabilistic Deep Learning using Random Sum-Product Networks. CoRR Robert Peharz, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Kristian Kersting, Zoubin Ghahramani