Publications

Lukas Sommer; Julian Oppermann; Alejandro Molina; Carsten Binnig; Kristian Kersting; Andreas Koch

Automatic Mapping of the Sum-Product Network Inference Problem to FPGA-Based Accelerators

In: 36th IEEE International Conference on Computer Design. IEEE International Conference on Computer Design (ICCD-2018), October 7-10, Orlando, FL, USA, Pages 350-357, IEEE Computer Society, 2018.

Antonio Vergari; Robert Peharz; Nicola Di Mauro; Alejandro Molina; Kristian Kersting; Floriana Esposito

Sum-Product Autoencoding: Encoding and Decoding Representations Using Sum-Product Networks

In: Sheila A. McIlraith; Kilian Q. Weinberger (Hrsg.). Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence (AAAI-18), Pages 4163-4170, AAAI Press, 2018.

Alejandro Molina; Antonio Vergari; Nicola Di Mauro; Sriraam Natarajan; Floriana Esposito; Kristian Kersting

Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains

In: Sheila A. McIlraith; Kilian Q. Weinberger (Hrsg.). Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence (AAAI-18), Pages 3828-3835, AAAI Press, 2018.

Michael Benedikt; Kristian Kersting; Phokion G. Kolaitis; Daniel Neider

Logic and Learning (Dagstuhl Seminar 19361)

In: Dagstuhl Reports, Vol. 9, No. 9, Pages 1-22, Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, 2019.

Hitesh Kotte; Milos Kravcik; Nghia Duong-Trung

Real-Time Posture Correction in Gym Exercises: A Computer Vision-Based Approach for Performance Analysis, Error Classification and Feedback

In: Khaleel Asyraaf Mat Sanusi; Bibeg Limbu; Jan Schneider; Milos Kravcik; Roland Klemke (Hrsg.). Proceedings of the Third International Workshop on Multimodal Immersive Learning Systems (MILeS 2023). International Workshop on Multimodal Immersive Learning Systems (MILeS-2023), located at Eighteenth European Conference on Technology Enhanced Learning (EC-TEL 2023), September 4-8, Aveiro, Portugal, Pages 64-70, Vol. 3499, CEUR Workshop Proceedings, Aachen, 10/2023.

Lukas Struppek; Dominik Hintersdorf; Daniel Neider; Kristian Kersting

Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash

In: FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency. ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT-22), June 21-24, Seoul, Korea, Republic of, Pages 58-69, ISBN 978-1-4503-9352-2, ACM, 2022.

Martin Kuhn; Joscha Grüger; Ralph Bergmann

PALSYN: a method for synthetic multi-perspective event log generation with differential private guarantees

In: Chiara Di Francescomarino; Marwan Hassani; Jan Mendling; Arik Senderovich (Hrsg.). Process Science, Vol. 2, No. 1, Pages 1-37, Springer Nature, Cham, 12/2025.

Ahmed Hendawy; Henrik Metternich; Théo Vincent; Mahdi Kallel; Jan Peters; Carlo D'Eramo

Use the Online Network If You Can: Towards Fast and Stable Reinforcement Learning

In: International Conference on Learning Representations. International Conference on Learning Representations (ICLR-2026), located at ICLR-2026, ICLR, 2026.

Théo Vincent; Yogesh Tripathi; Tim Lukas Faust; Abdullah Akgül; Yaniv Oren; Melih Kandemir; Jan Peters; Carlo D'Eramo

Bridging the performance-gap between target-free and target-based reinforcement learning