default search action
David Stutz
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [c13]Max Maria Losch, Mohamed Omran, David Stutz, Mario Fritz, Bernt Schiele:
On Adversarial Training without Perturbing all Examples. ICLR 2024 - [i21]Alireza Javanmardi, David Stutz, Eyke Hüllermeier:
Conformalized Credal Set Predictors. CoRR abs/2402.10723 (2024) - [i20]Khaled Saab, Tao Tu, Wei-Hung Weng, Ryutaro Tanno, David Stutz, Ellery Wulczyn, Fan Zhang, Tim Strother, Chunjong Park, Elahe Vedadi, Juanma Zambrano Chaves, Szu-Yeu Hu, Mike Schaekermann, Aishwarya Kamath, Yong Cheng, David G. T. Barrett, Cathy Cheung, Basil Mustafa, Anil Palepu, Daniel McDuff, Le Hou, Tomer Golany, Luyang Liu, Jean-Baptiste Alayrac, Neil Houlsby, Nenad Tomasev, Jan Freyberg, Charles Lau, Jonas Kemp, Jeremy Lai, Shekoofeh Azizi, Kimberly Kanada, SiWai Man, Kavita Kulkarni, Ruoxi Sun, Siamak Shakeri, Luheng He, Benjamin Caine, Albert Webson, Natasha Latysheva, Melvin Johnson, Philip Andrew Mansfield, Jian Lu, Ehud Rivlin, Jesper Anderson, Bradley Green, Renee Wong, Jonathan Krause, Jonathon Shlens, Ewa Dominowska, S. M. Ali Eslami, Katherine Chou, Claire Cui, Oriol Vinyals, Koray Kavukcuoglu, James Manyika, Jeff Dean, Demis Hassabis, Yossi Matias, Dale R. Webster, Joelle K. Barral, Greg Corrado, Christopher Semturs, S. Sara Mahdavi, Juraj Gottweis, Alan Karthikesalingam, Vivek Natarajan:
Capabilities of Gemini Models in Medicine. CoRR abs/2404.18416 (2024) - [i19]Yasin Abbasi-Yadkori, Ilja Kuzborskij, David Stutz, András György, Adam Fisch, Arnaud Doucet, Iuliya Beloshapka, Wei-Hung Weng, Yao-Yuan Yang, Csaba Szepesvári, Ali Taylan Cemgil, Nenad Tomasev:
Mitigating LLM Hallucinations via Conformal Abstention. CoRR abs/2405.01563 (2024) - [i18]Michele Caprio, David Stutz, Shuo Li, Arnaud Doucet:
Conformalized Credal Regions for Classification with Ambiguous Ground Truth. CoRR abs/2411.04852 (2024) - 2023
- [j4]David Stutz
, Nandhini Chandramoorthy, Matthias Hein, Bernt Schiele
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3632-3647 (2023) - [j3]David Stutz, Abhijit Guha Roy, Tatiana Matejovicova, Patricia Strachan, Ali Taylan Cemgil, Arnaud Doucet:
Conformal prediction under ambiguous ground truth. Trans. Mach. Learn. Res. 2023 (2023) - [c12]Yong Guo, David Stutz, Bernt Schiele:
Improving Robustness of Vision Transformers by Reducing Sensitivity to Patch Corruptions. CVPR 2023: 4108-4118 - [c11]Max Maria Losch, David Stutz
Certified Robust Models with Slack Control and Large Lipschitz Constants. DAGM 2023: 574-588 - [c10]Yong Guo, David Stutz, Bernt Schiele:
Robustifying Token Attention for Vision Transformers. ICCV 2023: 17511-17522 - [i17]Yong Guo, David Stutz, Bernt Schiele
Robustifying Token Attention for Vision Transformers. CoRR abs/2303.11126 (2023) - [i16]David Stutz, Ali Taylan Cemgil, Abhijit Guha Roy, Tatiana Matejovicova, Melih Barsbey, Patricia Strachan, Mike Schaekermann, Jan Freyberg, Rajeev V. Rikhye, Beverly Freeman, Javier Perez Matos, Umesh Telang, Dale R. Webster, Yuan Liu, Gregory S. Corrado, Yossi Matias, Pushmeet Kohli, Yun Liu, Arnaud Doucet, Alan Karthikesalingam:
Evaluating AI systems under uncertain ground truth: a case study in dermatology. CoRR abs/2307.02191 (2023) - [i15]David Stutz, Abhijit Guha Roy, Tatiana Matejovicova, Patricia Strachan, Ali Taylan Cemgil, Arnaud Doucet:
Conformal prediction under ambiguous ground truth. CoRR abs/2307.09302 (2023) - [i14]Leonard Berrada, Soham De, Judy Hanwen Shen, Jamie Hayes, Robert Stanforth, David Stutz, Pushmeet Kohli, Samuel L. Smith, Borja Balle:
Unlocking Accuracy and Fairness in Differentially Private Image Classification. CoRR abs/2308.10888 (2023) - [i13]Max Maria Losch, David Stutz, Bernt Schiele, Mario Fritz:
Certified Robust Models with Slack Control and Large Lipschitz Constants. CoRR abs/2309.06166 (2023) - 2022
- [b2]David Stutz:
Understanding and improving robustness and uncertainty estimation in deep learning. Saarland University, Saarbrücken, Germany, 2022 - [c9]Yong Guo
Improving Robustness by Enhancing Weak Subnets. ECCV (24) 2022: 320-338 - [c8]David Stutz
Learning Optimal Conformal Classifiers. ICLR 2022 - [i12]Yong Guo, David Stutz, Bernt Schiele:
Improving Corruption and Adversarial Robustness by Enhancing Weak Subnets. CoRR abs/2201.12765 (2022) - [i11]Nils Philipp Walter, David Stutz, Bernt Schiele
On Fragile Features and Batch Normalization in Adversarial Training. CoRR abs/2204.12393 (2022) - 2021
- [c7]David Stutz, Matthias Hein, Bernt Schiele
Relating Adversarially Robust Generalization to Flat Minima. ICCV 2021: 7787-7797 - [c6]David Stutz, Nandhini Chandramoorthy, Matthias Hein, Bernt Schiele
Bit Error Robustness for Energy-Efficient DNN Accelerators. MLSys 2021 - [i10]David Stutz
Relating Adversarially Robust Generalization to Flat Minima. CoRR abs/2104.04448 (2021) - [i9]David Stutz
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators. CoRR abs/2104.08323 (2021) - [i8]Iryna Korshunova, David Stutz
A Closer Look at the Adversarial Robustness of Information Bottleneck Models. CoRR abs/2107.05712 (2021) - [i7]David Stutz, Krishnamurthy Dvijotham, Ali Taylan Cemgil, Arnaud Doucet:
Learning Optimal Conformal Classifiers. CoRR abs/2110.09192 (2021) - 2020
- [j2]David Stutz
Learning 3D Shape Completion Under Weak Supervision. Int. J. Comput. Vis. 128(5): 1162-1181 (2020) - [c5]Sukrut Rao
Adversarial Training Against Location-Optimized Adversarial Patches. ECCV Workshops (5) 2020: 429-448 - [c4]David Stutz, Matthias Hein, Bernt Schiele
Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks. ICML 2020: 9155-9166 - [i6]Sukrut Rao
Adversarial Training against Location-Optimized Adversarial Patches. CoRR abs/2005.02313 (2020) - [i5]David Stutz
On Mitigating Random and Adversarial Bit Errors. CoRR abs/2006.13977 (2020)
2010 – 2019
- 2019
- [c3]David Stutz, Matthias Hein, Bernt Schiele
Disentangling Adversarial Robustness and Generalization. CVPR 2019: 6976-6987 - [i4]David Stutz
Confidence-Calibrated Adversarial Training: Towards Robust Models Generalizing Beyond the Attack Used During Training. CoRR abs/1910.06259 (2019) - 2018
- [j1]David Stutz, Alexander Hermans, Bastian Leibe
Superpixels: An evaluation of the state-of-the-art. Comput. Vis. Image Underst. 166: 1-27 (2018) - [c2]David Stutz, Andreas Geiger:
Learning 3D Shape Completion From Laser Scan Data With Weak Supervision. CVPR 2018: 1955-1964 - [i3]David Stutz, Andreas Geiger:
Learning 3D Shape Completion under Weak Supervision. CoRR abs/1805.07290 (2018) - [i2]David Stutz
Disentangling Adversarial Robustness and Generalization. CoRR abs/1812.00740 (2018) - 2016
- [i1]David Stutz, Alexander Hermans, Bastian Leibe:
Superpixels: An Evaluation of the State-of-the-Art. CoRR abs/1612.01601 (2016) - 2015
- [c1]David Stutz
Superpixel Segmentation: An Evaluation. GCPR 2015: 555-562
2000 – 2009
- 2003
- [b1]David Stutz, Ted Neward, Geoff Shilling:
Shared source CLI essentials - exploring Microsoft's Rotor and the ECMA CLI. O'Reilly 2003, ISBN 978-0-596-00351-7, pp. I-XVIII, 1-357
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-02 18:17 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: