Publications

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.

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.

Amos Treiber; Alejandro Molina; Christian Weinert; Thomas Schneider; Kristian Kersting

CryptoSPN: Expanding PPML beyond Neural Networks

In: Benyu Zhang; Raluca Ada Popa; Matei Zaharia; Guofei Gu; Shouling Ji (Hrsg.). PPMLP'20: Proceedings of the 2020 Workshop on Privacy-Preserving Machine Learning in Practice. Workshop on Privacy-Preserving Machine Learning in Practice (PPMLP-20), located at CS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, November 9, Virtual Event, Pages 9-14, ISBN 978-1-4503-8088-1, ACM, 2020.

Patrick Schramowski; Wolfgang Stammer; Stefano Teso; Anna Brugger; Franziska Herbert; Xiaoting Shao; Hans-Georg Luigs; Anne-Katrin Mahlein; Kristian Kersting

Making deep neural networks right for the right scientific reasons by interacting with their explanations

In: Nature Machine Intelligence, Vol. 2, No. 8, Pages 476-486, Springer, 2020.

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.

Simone Parisi; Simon Ramstedt; Jan Peters

Goal-driven dimensionality reduction for reinforcement learning

In: 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2017), September 24-28, Vancouver, BC, Canada, Pages 4634-4639, IEEE, 2017.

Hany Abdulsamad; Oleg Arenz; Jan Peters; Gerhard Neumann

State-Regularized Policy Search for Linearized Dynamical Systems

In: Laura Barbulescu; Jeremy Frank; Mausam; Stephen F. Smith (Hrsg.). Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling. International Conference on Automated Planning and Scheduling (ICAPS-2017), June 18-23, Pittsburgh, Pennsylvania, USA, Pages 419-424, AAAI Press, 2017.

Mohamed Selim; Pablo López de Uralde; Jon Mata; Eider Gorostegui-Colinas; Beatriz Chicote; Alain Pagani; Didier Stricker

Vision-Based Ladle Monitoring System for Steel Factories

In: Proceedings of the 1st European Symposium on Artificial Intelligence in Manufacturing. European Symposium on Artificial Intelligence in Manufacturing (ESAIM-2023), September 19, Kaiserslautern, Germany, 2023.

Vemburaj Yadav; Alain Pagani; Didier Stricker

Camera-based position analysis system for cyclists ordering in bicycle swarms

In: Workshop on Smart Urban Micromobility. Mensch und Computer (MuC-2023), September 3-6, Zürich, Switzerland, ACM, 2023.