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Publication search results
found 131 matches
- 2024
- Sorawit Saengkyongam, Niklas Pfister, Predrag Klasnja, Susan A. Murphy, Jonas Peters:
Effect-Invariant Mechanisms for Policy Generalization. J. Mach. Learn. Res. 25: 34:1-34:36 (2024) - Nikita Moriakov, Jim Peters, Ritse Mann, Nico Karssemeijer, Jos van Dijck, Mireille J. M. Broeders, Jonas Teuwen:
Improving lesion volume measurements on digital mammograms. Medical Image Anal. 97: 103269 (2024) - Jonas F. Haderlein, Andre D. H. Peterson, Parvin Zarei Eskikand, Anthony N. Burkitt, Iven M. Y. Mareels, David B. Grayden:
On the benefit of overparameterisation in state reconstruction: An empirical study of the nonlinear case. ANZCC 2024: 49-54 - Jonas F. Haderlein, Andre D. H. Peterson, Parvin Zarei Eskikand, Mark J. Cook, Anthony N. Burkitt, David B. Grayden, Iven M. Y. Mareels:
Revisiting Seizure Prediction with Path Signatures: the Limitations of System Identification. ANZCC 2024: 192-200 - Jonas R. Bohn, Christian M. Heidt, Silvia Dias Almeida, Lisa Kausch, Michael Götz, Marco Nolden, Petros Christopoulos, Stephan Rheinheimer, Alan A. Peters, Oyunbileg von Stackelberg, Hans-Ulrich Kauczor, Klaus H. Maier-Hein, Claus Peter Heußel, Tobias Norajitra:
Abstract: Radiomics Processing Toolkit - Role of Feature Computation on Prediction Performance. Bildverarbeitung für die Medizin 2024: 129 - Karim Kadry, Shreya Gupta, Jonas Sogbadji, Michiel Schaap, Kersten Petersen, Takuya Mizukami, Carlos Collet, Farhad Rikhtegar Nezami, Elazer R. Edelman:
A Diffusion Model for Simulation Ready Coronary Anatomy with Morpho-Skeletal Control. ECCV (78) 2024: 396-412 - Sorawit Saengkyongam, Elan Rosenfeld, Pradeep Kumar Ravikumar, Niklas Pfister, Jonas Peters:
Identifying Representations for Intervention Extrapolation. ICLR 2024 - Patrick Petersen, Hanno Stage, Philipp Reis, Jonas Rauch, Eric Sax:
Comparison of Dimension Reduction Methods for Multivariate Time Series Pattern Recognition. ICPRAM 2024: 809-816 - Margherita Lazzaretto, Jonas Peters, Niklas Pfister:
Invariant Subspace Decomposition. CoRR abs/2404.09962 (2024) - Juan L. Gamella, Jonas Peters, Peter Bühlmann:
The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology. CoRR abs/2404.11341 (2024) - Felix Schur, Jonas Peters:
DecoR: Deconfounding Time Series with Robust Regression. CoRR abs/2406.07005 (2024) - Christopher E. Mower, Yuhui Wan, Hongzhan Yu, Antoine Grosnit, Jonas Gonzalez-Billandon, Matthieu Zimmer, Jinlong Wang, Xinyu Zhang, Yao Zhao, Anbang Zhai, Puze Liu, Davide Tateo, Cesar Cadena, Marco Hutter, Jan Peters, Guangjian Tian, Yuzheng Zhuang, Kun Shao, Xingyue Quan, Jianye Hao, Jun Wang, Haitham Bou-Ammar:
ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning. CoRR abs/2406.19741 (2024) - Karim Kadry, Shreya Gupta, Jonas Sogbadji, Michiel Schaap, Kersten Petersen, Takuya Mizukami, Carlos Collet, Farhad Rikhtegar Nezami, Elazer R. Edelman:
A Diffusion Model for Simulation Ready Coronary Anatomy with Morpho-skeletal Control. CoRR abs/2407.15631 (2024) - Piotr Kicki, Davide Tateo, Puze Liu, Jonas Guenster, Jan Peters, Krzysztof Walas:
Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement Learning. CoRR abs/2408.14063 (2024) - Jonas Guenster, Puze Liu, Jan Peters, Davide Tateo:
Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning. CoRR abs/2409.12045 (2024) - 2023
- Sorawit Saengkyongam, Nikolaj Thams, Jonas Peters, Niklas Pfister:
Invariant Policy Learning: A Causal Perspective. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8606-8620 (2023) - Asier Alvarez Rueda, Philipp Schäffner, Andreas Petritz, Jonas Groten, Andreas Tschepp, Frank Petersen, Martin Zirkl, Barbara Stadlober:
Study of Pressure Distribution in Floor Tiles with Printed P(VDF:TrFE) Sensors for Smart Surface Applications. Sensors 23(2): 603 (2023) - Markus Brill, Hayrullah Dindar, Jonas Israel, Jérôme Lang, Jannik Peters, Ulrike Schmidt-Kraepelin:
Multiwinner Voting with Possibly Unavailable Candidates. AAAI 2023: 5532-5539 - Marvin Petersen, Jonas Lukasczyk, Charles Gueunet, Timothée Chabat, Christoph Garth:
Extended Visual Programming for Complex Parallel Pipelines in ParaView. EGPGV@EuroVis 2023: 39-49 - Jonas F. Haderlein, Andre D. H. Peterson, Anthony N. Burkitt, Iven M. Y. Mareels, David B. Grayden:
Autoregressive models for biomedical signal processing. EMBC 2023: 1-6 - Jonas R. Bohn, Christian M. Heidt, Silvia Dias Almeida, Lisa Kausch, Michael Götz, Marco Nolden, Petros Christopoulos, Stephan Rheinheimer, Alan A. Peters, Oyunbileg von Stackelberg, Hans-Ulrich Kauczor, Klaus H. Maier-Hein, Claus Peter Heussel, Tobias Norajitra:
RPTK: The Role of Feature Computation on Prediction Performance. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 2023: 113-122 - Jonas F. Haderlein, Andre D. H. Peterson, Anthony N. Burkitt, Iven M. Y. Mareels, David B. Grayden:
Autoregressive models for biomedical signal processing. CoRR abs/2304.11070 (2023) - Ivan Baburin, Jonas Ballani, John W. Peterson, David Knezevic:
Hierarchical Block Low-rank Approximation of Cavity Radiation. CoRR abs/2305.06891 (2023) - Frederik Hytting Jørgensen, Sebastian Weichwald, Jonas Peters:
Unfair Utilities and First Steps Towards Improving Them. CoRR abs/2306.00636 (2023) - Sorawit Saengkyongam, Niklas Pfister, Predrag V. Klasnja, Susan A. Murphy, Jonas Peters:
Effect-Invariant Mechanisms for Policy Generalization. CoRR abs/2306.10983 (2023) - Jonas F. Haderlein, Andre D. H. Peterson, Parvin Zarei Eskikand, Mark J. Cook, Anthony N. Burkitt, Iven M. Y. Mareels, David B. Grayden:
Path Signatures for Seizure Forecasting. CoRR abs/2308.09312 (2023) - Nikita Moriakov, Jim Peters, Ritse Mann, Nico Karssemeijer, Jos van Dijck, Mireille J. M. Broeders, Jonas Teuwen:
Improving Lesion Volume Measurements on Digital Mammograms. CoRR abs/2308.14369 (2023) - Sorawit Saengkyongam, Elan Rosenfeld, Pradeep Ravikumar, Niklas Pfister, Jonas Peters:
Identifying Representations for Intervention Extrapolation. CoRR abs/2310.04295 (2023) - Nicola Gnecco, Jonas Peters, Sebastian Engelke, Niklas Pfister:
Boosted Control Functions. CoRR abs/2310.05805 (2023) - 2022
- Martin Emil Jakobsen, Rajen Dinesh Shah, Peter Bühlmann, Jonas Peters:
Structure Learning for Directed Trees. J. Mach. Learn. Res. 23: 159:1-159:97 (2022)
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