default search action
Arno Blaas
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [i11]Arno Blaas, Adam Golinski, Andrew C. Miller, Luca Zappella, Jörn-Henrik Jacobsen, Christina Heinze-Deml:
Considerations for Distribution Shift Robustness of Diagnostic Models in Healthcare. CoRR abs/2410.19575 (2024) - [i10]Pau Rodríguez López, Arno Blaas, Michal Klein, Luca Zappella, Nicholas Apostoloff, Marco Cuturi, Xavier Suau:
Controlling Language and Diffusion Models by Transporting Activations. CoRR abs/2410.23054 (2024) - 2023
- [c9]Borja Rodríguez Gálvez, Arno Blaas, Pau Rodríguez, Adam Golinski, Xavier Suau, Jason Ramapuram, Dan Busbridge, Luca Zappella:
The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning. ICML 2023: 29143-29160 - [c8]Xavier Suau, Federico Danieli, T. Anderson Keller, Arno Blaas, Chen Huang, Jason Ramapuram, Dan Busbridge, Luca Zappella:
DUET: 2D Structured and Approximately Equivariant Representations. ICML 2023: 32749-32769 - [e2]Javier Antorán, Arno Blaas, Kelly Buchanan, Fan Feng, Vincent Fortuin, Sahra Ghalebikesabi, Andreas Kriegler, Ian Mason, David Rohde, Francisco J. R. Ruiz, Tobias Uelwer, Yubin Xie, Rui Yang:
Proceedings on "I Can't Believe It's Not Better: Failure Modes in the Age of Foundation Models" at NeurIPS 2023 Workshops, 16 December 2023, New Orleans, Louisiana, USA. Proceedings of Machine Learning Research 239, PMLR 2023 [contents] - [i9]Xavier Suau, Federico Danieli, T. Anderson Keller, Arno Blaas, Chen Huang, Jason Ramapuram, Dan Busbridge, Luca Zappella:
DUET: 2D Structured and Approximately Equivariant Representations. CoRR abs/2306.16058 (2023) - [i8]Borja Rodríguez Gálvez, Arno Blaas, Pau Rodríguez, Adam Golinski, Xavier Suau, Jason Ramapuram, Dan Busbridge, Luca Zappella:
The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning. CoRR abs/2307.10907 (2023) - [i7]Jonathan Crabbé, Pau Rodríguez, Vaishaal Shankar, Luca Zappella, Arno Blaas:
Robust multimodal models have outlier features and encode more concepts. CoRR abs/2310.13040 (2023) - 2022
- [j1]Andrea Patane, Arno Blaas, Luca Laurenti, Luca Cardelli, Stephen Roberts, Marta Kwiatkowska:
Adversarial Robustness Guarantees for Gaussian Processes. J. Mach. Learn. Res. 23: 146:1-146:55 (2022) - [e1]Javier Antorán, Arno Blaas, Fan Feng, Sahra Ghalebikesabi, Ian Mason, Melanie F. Pradier, David Rohde, Francisco J. R. Ruiz, Aaron Schein:
Proceedings on "I Can't Believe It's Not Better! - Understanding Deep Learning Through Empirical Falsification" at NeurIPS 2022 Workshops, 03 December 2022, New Orleans, Louisiana, USA. Proceedings of Machine Learning Research 187, PMLR 2022 [contents] - 2021
- [c7]Arno Blaas, Xavier Suau, Jason Ramapuram, Nicholas Apostoloff, Luca Zappella:
Challenges of Adversarial Image Augmentations. ICBINB@NeurIPS 2021: 9-14 - [c6]Samuel Budd, Arno Blaas, Adrienne Hoarfrost, Kia Khezeli
, Krittika D'Silva, Frank Soboczenski, Graham Mackintosh, Nicholas Chia, John Kalantari:
Prototyping CRISP: A Causal Relation and Inference Search Platform applied to Colorectal Cancer Data. LifeTech 2021: 517-521 - [c5]Xingchen Wan, Henry Kenlay, Robin Ru, Arno Blaas, Michael A. Osborne, Xiaowen Dong:
Adversarial Attacks on Graph Classifiers via Bayesian Optimisation. NeurIPS 2021: 6983-6996 - [i6]Arno Blaas, Stephen J. Roberts:
The Effect of Prior Lipschitz Continuity on the Adversarial Robustness of Bayesian Neural Networks. CoRR abs/2101.02689 (2021) - [i5]Andrea Patane, Arno Blaas, Luca Laurenti, Luca Cardelli, Stephen J. Roberts, Marta Kwiatkowska:
Adversarial Robustness Guarantees for Gaussian Processes. CoRR abs/2104.03180 (2021) - [i4]Kia Khezeli, Arno Blaas, Frank Soboczenski, Nicholas Chia, John Kalantari:
On Invariance Penalties for Risk Minimization. CoRR abs/2106.09777 (2021) - [i3]Xingchen Wan
Adversarial Attacks on Graph Classification via Bayesian Optimisation. CoRR abs/2111.02842 (2021) - [i2]Arno Blaas, Xavier Suau, Jason Ramapuram, Nicholas Apostoloff, Luca Zappella:
Challenges of Adversarial Image Augmentations. CoRR abs/2111.12427 (2021) - 2020
- [c4]Arno Blaas, Andrea Patane, Luca Laurenti, Luca Cardelli, Marta Kwiatkowska, Stephen J. Roberts:
Adversarial Robustness Guarantees for Classification with Gaussian Processes. AISTATS 2020: 3372-3382 - [c3]Binxin Ru, Adam D. Cobb, Arno Blaas, Yarin Gal:
BayesOpt Adversarial Attack. ICLR 2020
2010 – 2019
- 2019
- [c2]Arno Blaas, José María Manzano
Localised Kinky Inference. ECC 2019: 985-992 - [i1]Arno Blaas, Luca Laurenti, Andrea Patane, Luca Cardelli, Marta Kwiatkowska, Stephen J. Roberts:
Robustness Quantification for Classification with Gaussian Processes. CoRR abs/1905.11876 (2019) - 2018
- [c1]Arno Blaas, Adam D. Cobb, Jan-Peter Calliess, Stephen J. Roberts:
Scalable Bounding of Predictive Uncertainty in Regression Problems with SLAC. SUM 2018: 373-379
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 2024-12-01 00:13 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: