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Publication search results
found 85 matches
- 2023
- Viktor Kunz, Valentina Wildfeuer, Richard Bieck, M. Sorge, Veit Zebralla, Andreas Dietz, Thomas Neumuth, Markus Pirlich:
Keyword-augmented and semi-automatic generation of FESS reports: a proof-of-concept study. Int. J. Comput. Assist. Radiol. Surg. 18(5): 961-968 (2023) - Thomas Wolgast, Eric M. S. P. Veith, Astrid Nieße:
Publisher Correction: Towards reinforcement learning for vulnerability analysis in power-economic systems. Energy Inform. 6(1): 11 (2023) - Gregory J. Kimmel, Richard J. Beck, Xiaoqing Yu, Thomas Veith, Samuel Bakhoum, Philipp M. Altrock, Noemi Andor:
Intra-tumor heterogeneity, turnover rate and karyotype space shape susceptibility to missegregation-induced extinction. PLoS Comput. Biol. 19(1) (2023) - Daniel J. Veit, Thomas A. Mazzuchi, Shahram Sarkani:
Measuring and Architecting System Resilience Through Trade Study Analysis. IEEE Syst. J. 17(1): 1181-1192 (2023) - Thomas Wolgast, Nils Wenninghoff, Stephan Balduin, Eric M. S. P. Veith, Bastian Fraune, Torben Woltjen, Astrid Nieße:
ANALYSE - Learning to attack cyber-physical energy systems with intelligent agents. SoftwareX 23: 101484 (2023) - Moritz Frahm, Thomas Dengiz, Philipp Zwickel, Heiko Maaß, Jörg Matthes, Veit Hagenmeyer:
Occupant-Oriented Demand Response with Room-Individual Building Control. CoRR abs/2301.03376 (2023) - Thomas Wolgast, Nils Wenninghoff, Stephan Balduin, Eric M. S. P. Veith, Bastian Fraune, Torben Woltjen, Astrid Nieße:
ANALYSE - Learning to Attack Cyber-Physical Energy Systems With Intelligent Agents. CoRR abs/2305.09476 (2023) - 2022
- Alexander D'Amour, Katherine A. Heller, Dan Moldovan, Ben Adlam, Babak Alipanahi, Alex Beutel, Christina Chen, Jonathan Deaton, Jacob Eisenstein, Matthew D. Hoffman, Farhad Hormozdiari, Neil Houlsby, Shaobo Hou, Ghassen Jerfel, Alan Karthikesalingam, Mario Lucic, Yi-An Ma, Cory Y. McLean, Diana Mincu, Akinori Mitani, Andrea Montanari, Zachary Nado, Vivek Natarajan, Christopher Nielson, Thomas F. Osborne, Rajiv Raman, Kim Ramasamy, Rory Sayres, Jessica Schrouff, Martin Seneviratne, Shannon Sequeira, Harini Suresh, Victor Veitch, Max Vladymyrov, Xuezhi Wang, Kellie Webster, Steve Yadlowsky, Taedong Yun, Xiaohua Zhai, D. Sculley:
Underspecification Presents Challenges for Credibility in Modern Machine Learning. J. Mach. Learn. Res. 23: 226:1-226:61 (2022) - Andrew Schultz, Saeed S. Alahmari, Joeseph Johnson, Thomas Veith, Zaid Siddiqui, Issam El-Naqa, Laura Heiser, Noemi Andor:
Image-based mapping of cells onto a cell cycle continuum for integration of single cell sequencing and live cell imaging. BigDataService 2022: 119-123 - Thomas Humphries, Rasoul Akhavan Mahdavi, Shannon Veitch, Florian Kerschbaum:
Selective MPC: Distributed Computation of Differentially Private Key-Value Statistics. CCS 2022: 1459-1472 - Eric M. S. P. Veith, Nils Wenninghoff, Stephan Balduin, Thomas Wolgast, Sebastian Lehnhoff:
Learning to Attack Powergrids with DERs. CoRR abs/2204.11352 (2022) - 2021
- Thomas Wolgast, Eric M. S. P. Veith, Astrid Nieße:
Towards reinforcement learning for vulnerability analysis in power-economic systems. Energy Inform. 4(S3) (2021) - Thomas M. Trantow, Ute C. Herzfeld, Veit Helm, Johan Nilsson:
Sensitivity of glacier elevation analysis and numerical modeling to CryoSat-2 SIRAL retracking techniques. Comput. Geosci. 146: 104610 (2021) - Antoine Monod, Julie Delon, Thomas Veit:
An Analysis and Implementation of the HDR+ Burst Denoising Method. Image Process. Line 11: 142-169 (2021) - Rafael Poppenborg, Johannes Ruf, Malte Chlosta, Jianlei Liu, Christian Hotz, Clemens Düpmeier, Thomas Kolb, Veit Hagenmeyer:
Energy hub gas: a multi-domain system modelling and co-simulation approach. MSCPES@CPSIoTWeek 2021: 12:1-12:7 - Thomas Wolgast, Eric M. S. P. Veith, Astrid Nieße:
Towards Reinforcement Learning for Vulnerability Detection in Power Systems and Markets: Poster. e-Energy 2021: 292-293 - Srinadh Bhojanapalli, Ayan Chakrabarti, Daniel Glasner, Daliang Li, Thomas Unterthiner, Andreas Veit:
Understanding Robustness of Transformers for Image Classification. ICCV 2021: 10211-10221 - Stephan Balduin, Eric M. S. P. Veith, Alexander Berezin, Sebastian Lehnhoff, Thomas Oberließen, Chris Kittl, Johannes Hiry, Christian Rehtanz, Giancarlo Torres-Villarreal, Sasiphong Leksawat, Andreas Kubis, Marc-Aurel Frankenbach:
Towards a Universally Applicable Neural State Estimation through Transfer Learning. ISGT-Europe 2021: 1-6 - Srinadh Bhojanapalli, Ayan Chakrabarti, Daniel Glasner, Daliang Li, Thomas Unterthiner, Andreas Veit:
Understanding Robustness of Transformers for Image Classification. CoRR abs/2103.14586 (2021) - Thomas Humphries, Rasoul Akhavan Mahdavi, Shannon Veitch, Florian Kerschbaum:
Selective MPC: Distributed Computation of Differentially Private Key Value Statistics. CoRR abs/2107.12407 (2021) - Antoine Monod, Julie Delon, Thomas Veit:
An Analysis and Implementation of the HDR+ Burst Denoising Method. CoRR abs/2110.09354 (2021) - 2020
- Susanne Sass, Timm Faulwasser, Dinah Elena Hollermann, Chrysoula Dimitra Kappatou, Dominique Sauer, Thomas Schütz, David Yang Shu, André Bardow, Lutz Gröll, Veit Hagenmeyer, Dirk Müller, Alexander Mitsos:
Model compendium, data, and optimization benchmarks for sector-coupled energy systems. Comput. Chem. Eng. 135: 106760 (2020) - Nilanjon Naskar, Martin F. Schneidereit, Florian Huber, Sabyasachi Chakrabortty, Lothar Veith, Markus Mezger, Lutz Kirste, Theo Fuchs, Thomas Diemant, Tanja Weil, R. Jürgen Behm, Klaus Thonke, Ferdinand Scholz:
Impact of Surface Chemistry and Doping Concentrations on Biofunctionalization of GaN/Ga‒In‒N Quantum Wells. Sensors 20(15): 4179 (2020) - Marcus Schmidt, Tobias Alt, Kevin Nolte, Thomas Jaitner:
Comment on "Hurdle Clearance Detection and Spatiotemporal Analysis in 400 Meters Hurdles Races Using Shoe-Mounted Magnetic and Inertial Sensor". Sensors 20(10): 2995 (2020) - Matias Tassano, Julie Delon, Thomas Veit:
FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow Estimation. CVPR 2020: 1351-1360 - Veit Frick, Thomas Grassauer, Fabian Beck, Martin Pinzger:
Generating Accurate and Compact Edit Scripts using Tree Differencing. SE 2020: 85-86 - Eric M. S. P. Veith, Stephan Balduin, Nils Wenninghoff, Martin Tröschel, Lars Fischer, Astrid Nieße, Thomas Wolgast, Richard Sethmann, Bastian Fraune, Torben Woltjen:
Analyzing Power Grid, ICT, and Market Without Domain Knowledge Using Distributed Artificial Intelligence. CoRR abs/2006.06074 (2020) - Alexander D'Amour, Katherine A. Heller, Dan Moldovan, Ben Adlam, Babak Alipanahi, Alex Beutel, Christina Chen, Jonathan Deaton, Jacob Eisenstein, Matthew D. Hoffman, Farhad Hormozdiari, Neil Houlsby, Shaobo Hou, Ghassen Jerfel, Alan Karthikesalingam, Mario Lucic, Yi-An Ma, Cory Y. McLean, Diana Mincu, Akinori Mitani, Andrea Montanari, Zachary Nado, Vivek Natarajan, Christopher Nielson, Thomas F. Osborne, Rajiv Raman, Kim Ramasamy, Rory Sayres, Jessica Schrouff, Martin Seneviratne, Shannon Sequeira, Harini Suresh, Victor Veitch, Max Vladymyrov, Xuezhi Wang, Kellie Webster, Steve Yadlowsky, Taedong Yun, Xiaohua Zhai, D. Sculley:
Underspecification Presents Challenges for Credibility in Modern Machine Learning. CoRR abs/2011.03395 (2020) - 2019
- Igor Konnov:
Edmund M. Clarke, Thomas A. Henzinger, Helmut Veith, and Roderick Bloem (eds): Handbook of model checking - Springer International Publishing AG, Cham, Switzerland, 2018. Formal Aspects Comput. 31(4): 455-456 (2019) - Matias Tassano, Julie Delon, Thomas Veit:
An Analysis and Implementation of the FFDNet Image Denoising Method. Image Process. Line 9: 1-25 (2019)
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