Publications

Navdeep Kaur; Gautam Kunapuli; Saket Joshi; Kristian Kersting; Sriraam Natarajan

Neural Networks for Relational Data

In: Dimitar Kazakov; Can Erten (Hrsg.). Inductive Logic Programming - 29th International Conference, Proceedings. International Conference on Inductive Logic Programming (ILP-2019), September 3-5, Plovdiv, Bulgaria, Pages 62-71, Lecture Notes in Computer Science (LNAI), Vol. 11770, Springer, 2019.

Karl Stelzner; Robert Peharz; Kristian Kersting

Faster Attend-Infer-Repeat with Tractable Probabilistic Models

In: Kamalika Chaudhuri; Ruslan Salakhutdinov (Hrsg.). Proceedings of the 36th International Conference on Machine Learning. International Conference on Machine Learning (ICML-2019), June 9-15, Long Beach, California, USA, Pages 5966-5975, Proceedings of Machine Learning Research, Vol. 97, PMLR, 2019.

Raúl Domínguez; Mariela De Lucas Alvarez; Siddhant Kadwe; Christoph Hertzberg; Siddhant Shete; Leon Cedric Danter; Marko Jankovik; Shubham Vyas; Jonas Eisenmenger; Pierre Willenbrock; André Felmet; Vikram Unnithan; Frank Kirchner

PerSim: Perception for Planetary Prospection and Internal Simulation

In: 17th Symposium on Advanced Space Technologies in Robotics and Automation. ESA/Estec Symposium on Advanced Space Technologies in Robotics and Automation (ASTRA-2023), October 18-20, Leiden, Netherlands, ASTRA Proceedings, Noordwijk The Netherlands, 2023.

Jonas Seng; Florian Peter Busch; Pooja Prasad; Devendra Singh Dhami; Martin Mundt; Kristian Kersting

Scaling Probabilistic Circuits via Data Partitioning

In: Silvia Chiappa; Sara Magliacane (Hrsg.). Conference on Uncertainty in Artificial Intelligence, Rio Othon Palace, Rio de Janeiro, Brazil, 21-25 July 2025. International Conference on Uncertainty in AI (UAI), Pages 3701-3717, Proceedings of Machine Learning Research, Vol. 286, PMLR, 2025.

Felix Divo; Eric Endress; Kevin Endler; Kristian Kersting; Devendra Singh Dhami

Forecasting Company Fundamentals

In: Transactions on Machine Learning Research (TMLR), Vol. 2025, Pages 1-26, Journal of Machine Learning Research, 2025.

Florian Peter Busch; Matej Zecevic; Kristian Kersting; Devendra Singh Dhami

Elucidating linear programs by neural encodings

In: Georgios Leontidis (Hrsg.). Frontiers in Artificial Intelligence, Vol. 8, Pages 1-14, Frontiers Media SA, 6/2025.

Nika Strem; Devendra Singh Dhami; Benedikt Schmidt; Kristian Kersting

Multimodal transformer for early alarm prediction

In: Engineering Applications of Artificial Intelligence, Vol. 139, Part B, Pages 1-11, Elsevier, 1/2025.

Arseny Skryagin; Felix Divo; Mohammad Amin Ali; Devendra Singh Dhami; Kristian Kersting

Graph Neural Networks Need Cluster-Normalize-Activate Modules

In: Amir Globersons; Lester Mackey; Danielle Belgrave; Angela Fan; Ulrich Paquet; Jakub M. Tomczak; Cheng Zhang (Hrsg.). Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024. Neural Information Processing Systems (NeurIPS), arXiv, 2024.

Quentin Delfosse; Sebastian Sztwiertnia; Mark Rothermel; Wolfgang Stammer; Kristian Kersting

Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents

In: Amir Globersons; Lester Mackey; Danielle Belgrave; Angela Fan; Ulrich Paquet; Jakub M. Tomczak; Cheng Zhang (Hrsg.). Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024. International Conference on Neural Information Processing (ICONIP), arXiv, 2024.

David Steinmann; Wolfgang Stammer; Felix Friedrich; Kristian Kersting

Learning to Intervene on Concept Bottlenecks

In: Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024. International Conference on Machine Learning (ICML), OpenReview.net, 2024.