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Publication search results
found 102 matches
- 2024
- Leatile Marata
, Onel Luis Alcaraz López, Andreas Hauptmann, Hamza Djelouat, Hirley Alves:
Joint Activity Detection and Channel Estimation for Clustered Massive Machine Type Communications. IEEE Trans. Wirel. Commun. 23(6): 5473-5487 (2024) - Stephen Casper, Carson Ezell, Charlotte Siegmann, Noam Kolt, Taylor Lynn Curtis, Benjamin Bucknall, Andreas A. Haupt, Kevin Wei, Jérémy Scheurer, Marius Hobbhahn, Lee Sharkey, Satyapriya Krishna, Marvin Von Hagen, Silas Alberti, Alan Chan, Qinyi Sun, Michael Gerovitch, David Bau, Max Tegmark, David Krueger, Dylan Hadfield-Menell:
Black-Box Access is Insufficient for Rigorous AI Audits. FAccT 2024: 2254-2272 - Lynn von Kurnatowski, Benjamin Wolff, Sophie Kernchen, Adriana Klapproth-Rieger, David Heidrich, Carina Haupt, Andreas Schreiber, Thoralf Niendorf, Andreas Kosmider, Marcus Lobbes, Martin Hennecke:
The (Un)Answered Question: A Data Science Powered Music Experiment. HCI (34) 2024: 233-246 - Andreas Hauptmann, Mustafa Al-Rubaye, Miika T. Nieminen, Mikael A. K. Brix:
A Multi-Filter and Multi-Scale U-Net for Cone-Beam Computed Tomography with Hardware Constraints. ICASSP Workshops 2024: 69-70 - Stephen Casper, Carson Ezell, Charlotte Siegmann, Noam Kolt, Taylor Lynn Curtis, Benjamin Bucknall, Andreas Alexander Haupt, Kevin Wei, Jérémy Scheurer, Marius Hobbhahn, Lee Sharkey, Satyapriya Krishna, Marvin Von Hagen, Silas Alberti, Alan Chan, Qinyi Sun, Michael Gerovitch, David Bau, Max Tegmark, David Krueger, Dylan Hadfield-Menell:
Black-Box Access is Insufficient for Rigorous AI Audits. CoRR abs/2401.14446 (2024) - 2023
- Efthymios Maneas, Andreas Hauptmann, Erwin J. Alles, Wenfeng Xia, Sacha Noimark, Anna L. David, Simon R. Arridge, Adrien E. Desjardins:
Enhancement of instrumented ultrasonic tracking images using deep learning. Int. J. Comput. Assist. Radiol. Surg. 18(2): 395-399 (2023) - Arttu Arjas, Mikko J. Sillanpää, Andreas Hauptmann:
Sequential Model Correction for Nonlinear Inverse Problems. SIAM J. Imaging Sci. 16(4): 2015-2039 (2023) - Subhadip Mukherjee, Andreas Hauptmann, Ozan Öktem, Marcelo Pereyra, Carola-Bibiane Schönlieb:
Learned Reconstruction Methods With Convergence Guarantees: A survey of concepts and applications. IEEE Signal Process. Mag. 40(1): 164-182 (2023) - Phillip J. K. Christoffersen, Andreas A. Haupt, Dylan Hadfield-Menell:
Get It in Writing: Formal Contracts Mitigate Social Dilemmas in Multi-Agent RL. AAMAS 2023: 448-456 - Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Andreas Hauptmann, Carola-Bibiane Schönlieb:
Robust Data-Driven Accelerated Mirror Descent. ICASSP 2023: 1-5 - Arne Berger, Henrik Mucha, Viktoria Horn, Andreas Bischof, Torben Volkmann, Claude Draude, Alexa Becker, Benedikt Haupt, Juliane Jarke, Franzisca Maas, Sara Wolf, Anna-Katharina Dhungel, Sandra Buchmüller, Nicola Marsden:
Partizipative und sozialverantwortliche Technikentwicklung. MuC (Workshopband) 2023 - Brian Hu Zhang, Gabriele Farina, Ioannis Anagnostides, Federico Cacciamani, Stephen McAleer, Andreas A. Haupt, Andrea Celli, Nicola Gatti, Vincent Conitzer, Tuomas Sandholm:
Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games. NeurIPS 2023 - Arttu Arjas, Mikko J. Sillanpää, Andreas Hauptmann:
Sequential model correction for nonlinear inverse problems. CoRR abs/2301.10094 (2023) - Andreas A. Haupt, Nicole Immorlica, Brendan Lucier:
Certification Design for a Competitive Market. CoRR abs/2301.13449 (2023) - Andreas A. Haupt, Dylan Hadfield-Menell, Chara Podimata:
Recommending to Strategic Users. CoRR abs/2302.06559 (2023) - Andreas Hauptmann, Jenni Poimala:
Model-corrected learned primal-dual models for fast limited-view photoacoustic tomography. CoRR abs/2304.01963 (2023) - William Herzberg, Andreas Hauptmann, Sarah Jane Hamilton:
Domain independent post-processing with graph U-nets: Applications to Electrical Impedance Tomographic Imaging. CoRR abs/2305.05020 (2023) - Brian Hu Zhang, Gabriele Farina, Ioannis Anagnostides, Federico Cacciamani, Stephen Marcus McAleer, Andreas Alexander Haupt, Andrea Celli, Nicola Gatti, Vincent Conitzer, Tuomas Sandholm:
Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games. CoRR abs/2306.05216 (2023) - Brian Hu Zhang, Gabriele Farina, Ioannis Anagnostides, Federico Cacciamani, Stephen Marcus McAleer, Andreas Alexander Haupt, Andrea Celli, Nicola Gatti, Vincent Conitzer, Tuomas Sandholm:
Steering No-Regret Learners to Optimal Equilibria. CoRR abs/2306.05221 (2023) - Andreas Hauptmann, Subhadip Mukherjee, Carola-Bibiane Schönlieb, Ferdia Sherry:
Convergent regularization in inverse problems and linear plug-and-play denoisers. CoRR abs/2307.09441 (2023) - Derick Nganyu Tanyu, Jianfeng Ning, Andreas Hauptmann, Bangti Jin, Peter Maass:
Electrical Impedance Tomography: A Fair Comparative Study on Deep Learning and Analytic-based Approaches. CoRR abs/2310.18636 (2023) - Simon R. Arridge, Andreas Hauptmann, Yury Korolev:
Inverse Problems with Learned Forward Operators. CoRR abs/2311.12528 (2023) - Andreas Hauptmann, Tanja Tarvainen:
Model-based reconstructions for quantitative imaging in photoacoustic tomography. CoRR abs/2311.15735 (2023) - 2022
- Riccardo Barbano, Johannes Leuschner, Maximilian Schmidt, Alexander Denker, Andreas Hauptmann, Peter Maass, Bangti Jin:
An Educated Warm Start for Deep Image Prior-Based Micro CT Reconstruction. IEEE Trans. Computational Imaging 8: 1210-1222 (2022) - Meghdoot Mozumder, Andreas Hauptmann, Ilkka Nissilä, Simon R. Arridge, Tanja Tarvainen:
A Model-Based Iterative Learning Approach for Diffuse Optical Tomography. IEEE Trans. Medical Imaging 41(5): 1289-1299 (2022) - Simo Särkkä, Lassi Roininen, Manon Kok, Roland Hostettler, Andreas Hauptmann:
Guest Editorial: MLSP 2020 Special Issue. J. Signal Process. Syst. 94(2): 131-132 (2022) - Daniel Buschek, Hanna Hauptmann, Hendrik Heuer, Benedikt Loepp, Andreas Riener, Enes Yigitbas:
UCAI 2022: Workshop on User-Centered Artificial Intelligence. MuC (Workshopband) 2022 - Henrik Mucha, Arne Berger, Juliane Jarke, Viktoria Horn, Anna-Katharina Dhungel, Benedikt Haupt, Andreas Bischof, Julia Stilke, Franzisca Maas, Alexa Becker, Torben Volkmann, Claude Draude:
Partizipative und sozialverantwortliche Technikentwicklung. MuC (Workshopband) 2022 - Mihaela Curmei, Andreas A. Haupt, Benjamin Recht, Dylan Hadfield-Menell:
Towards Psychologically-Grounded Dynamic Preference Models. RecSys 2022: 35-48 - Andreas Alexander Haupt, Zoë Kettler Hitzig:
Contextually Private Mechanisms. EC 2022: 1144
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