BibTeX records: Arno Blaas

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@inproceedings{DBLP:conf/icml/GalvezBRGSRBZ23,
  author       = {Borja Rodr{\'{\i}}guez G{\'{a}}lvez and
                  Arno Blaas and
                  Pau Rodr{\'{\i}}guez and
                  Adam Golinski and
                  Xavier Suau and
                  Jason Ramapuram and
                  Dan Busbridge and
                  Luca Zappella},
  editor       = {Andreas Krause and
                  Emma Brunskill and
                  Kyunghyun Cho and
                  Barbara Engelhardt and
                  Sivan Sabato and
                  Jonathan Scarlett},
  title        = {The Role of Entropy and Reconstruction in Multi-View Self-Supervised
                  Learning},
  booktitle    = {International Conference on Machine Learning, {ICML} 2023, 23-29 July
                  2023, Honolulu, Hawaii, {USA}},
  series       = {Proceedings of Machine Learning Research},
  volume       = {202},
  pages        = {29143--29160},
  publisher    = {{PMLR}},
  year         = {2023},
  url          = {https://proceedings.mlr.press/v202/rodri-guez-galvez23a.html},
  timestamp    = {Mon, 28 Aug 2023 17:23:08 +0200},
  biburl       = {https://dblp.org/rec/conf/icml/GalvezBRGSRBZ23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/SuauDKB0RBZ23,
  author       = {Xavier Suau and
                  Federico Danieli and
                  T. Anderson Keller and
                  Arno Blaas and
                  Chen Huang and
                  Jason Ramapuram and
                  Dan Busbridge and
                  Luca Zappella},
  editor       = {Andreas Krause and
                  Emma Brunskill and
                  Kyunghyun Cho and
                  Barbara Engelhardt and
                  Sivan Sabato and
                  Jonathan Scarlett},
  title        = {{DUET:} 2D Structured and Approximately Equivariant Representations},
  booktitle    = {International Conference on Machine Learning, {ICML} 2023, 23-29 July
                  2023, Honolulu, Hawaii, {USA}},
  series       = {Proceedings of Machine Learning Research},
  volume       = {202},
  pages        = {32749--32769},
  publisher    = {{PMLR}},
  year         = {2023},
  url          = {https://proceedings.mlr.press/v202/suau23a.html},
  timestamp    = {Mon, 28 Aug 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/icml/SuauDKB0RBZ23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2306-16058,
  author       = {Xavier Suau and
                  Federico Danieli and
                  T. Anderson Keller and
                  Arno Blaas and
                  Chen Huang and
                  Jason Ramapuram and
                  Dan Busbridge and
                  Luca Zappella},
  title        = {{DUET:} 2D Structured and Approximately Equivariant Representations},
  journal      = {CoRR},
  volume       = {abs/2306.16058},
  year         = {2023},
  url          = {https://doi.org/10.48550/arXiv.2306.16058},
  doi          = {10.48550/ARXIV.2306.16058},
  eprinttype    = {arXiv},
  eprint       = {2306.16058},
  timestamp    = {Fri, 30 Jun 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2306-16058.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2307-10907,
  author       = {Borja Rodr{\'{\i}}guez G{\'{a}}lvez and
                  Arno Blaas and
                  Pau Rodr{\'{\i}}guez and
                  Adam Golinski and
                  Xavier Suau and
                  Jason Ramapuram and
                  Dan Busbridge and
                  Luca Zappella},
  title        = {The Role of Entropy and Reconstruction in Multi-View Self-Supervised
                  Learning},
  journal      = {CoRR},
  volume       = {abs/2307.10907},
  year         = {2023},
  url          = {https://doi.org/10.48550/arXiv.2307.10907},
  doi          = {10.48550/ARXIV.2307.10907},
  eprinttype    = {arXiv},
  eprint       = {2307.10907},
  timestamp    = {Wed, 26 Jul 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2307-10907.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2310-13040,
  author       = {Jonathan Crabb{\'{e}} and
                  Pau Rodr{\'{\i}}guez and
                  Vaishaal Shankar and
                  Luca Zappella and
                  Arno Blaas},
  title        = {Robust multimodal models have outlier features and encode more concepts},
  journal      = {CoRR},
  volume       = {abs/2310.13040},
  year         = {2023},
  url          = {https://doi.org/10.48550/arXiv.2310.13040},
  doi          = {10.48550/ARXIV.2310.13040},
  eprinttype    = {arXiv},
  eprint       = {2310.13040},
  timestamp    = {Fri, 27 Oct 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2310-13040.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/PataneBLC0K22,
  author       = {Andrea Patane and
                  Arno Blaas and
                  Luca Laurenti and
                  Luca Cardelli and
                  Stephen Roberts and
                  Marta Kwiatkowska},
  title        = {Adversarial Robustness Guarantees for Gaussian Processes},
  journal      = {J. Mach. Learn. Res.},
  volume       = {23},
  pages        = {146:1--146:55},
  year         = {2022},
  url          = {http://jmlr.org/papers/v23/21-0382.html},
  timestamp    = {Wed, 07 Jun 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/jmlr/PataneBLC0K22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@proceedings{DBLP:conf/icbinb/2022,
  editor       = {Javier Antor{\'{a}}n and
                  Arno Blaas and
                  Fan Feng and
                  Sahra Ghalebikesabi and
                  Ian Mason and
                  Melanie F. Pradier and
                  David Rohde and
                  Francisco J. R. Ruiz and
                  Aaron Schein},
  title        = {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}},
  series       = {Proceedings of Machine Learning Research},
  volume       = {187},
  publisher    = {{PMLR}},
  year         = {2022},
  url          = {https://proceedings.mlr.press/v187/},
  timestamp    = {Wed, 09 Aug 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/icbinb/2022.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icbinb/BlaasSRAZ21,
  author       = {Arno Blaas and
                  Xavier Suau and
                  Jason Ramapuram and
                  Nicholas Apostoloff and
                  Luca Zappella},
  editor       = {Melanie F. Pradier and
                  Aaron Schein and
                  Stephanie L. Hyland and
                  Francisco J. R. Ruiz and
                  Jessica Zosa Forde},
  title        = {Challenges of Adversarial Image Augmentations},
  booktitle    = {I (Still) Can't Believe It's Not Better! Workshop at NeurIPS 2021,
                  Virtual Workshop, December 13, 2021},
  series       = {Proceedings of Machine Learning Research},
  volume       = {163},
  pages        = {9--14},
  publisher    = {{PMLR}},
  year         = {2021},
  url          = {https://proceedings.mlr.press/v163/blaas22a.html},
  timestamp    = {Thu, 14 Jul 2022 17:31:05 +0200},
  biburl       = {https://dblp.org/rec/conf/icbinb/BlaasSRAZ21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/lifetech/BuddBHKDSMCK21,
  author       = {Samuel Budd and
                  Arno Blaas and
                  Adrienne Hoarfrost and
                  Kia Khezeli and
                  Krittika D'Silva and
                  Frank Soboczenski and
                  Graham Mackintosh and
                  Nicholas Chia and
                  John Kalantari},
  title        = {Prototyping {CRISP:} {A} Causal Relation and Inference Search Platform
                  applied to Colorectal Cancer Data},
  booktitle    = {3rd {IEEE} Global Conference on Life Sciences and Technologies, LifeTech
                  2021, Nara, Japan, March 9-11, 2021},
  pages        = {517--521},
  publisher    = {{IEEE}},
  year         = {2021},
  url          = {https://doi.org/10.1109/LifeTech52111.2021.9391819},
  doi          = {10.1109/LIFETECH52111.2021.9391819},
  timestamp    = {Thu, 14 Oct 2021 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/lifetech/BuddBHKDSMCK21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/WanKRBOD21,
  author       = {Xingchen Wan and
                  Henry Kenlay and
                  Robin Ru and
                  Arno Blaas and
                  Michael A. Osborne and
                  Xiaowen Dong},
  editor       = {Marc'Aurelio Ranzato and
                  Alina Beygelzimer and
                  Yann N. Dauphin and
                  Percy Liang and
                  Jennifer Wortman Vaughan},
  title        = {Adversarial Attacks on Graph Classifiers via Bayesian Optimisation},
  booktitle    = {Advances in Neural Information Processing Systems 34: Annual Conference
                  on Neural Information Processing Systems 2021, NeurIPS 2021, December
                  6-14, 2021, virtual},
  pages        = {6983--6996},
  year         = {2021},
  url          = {https://proceedings.neurips.cc/paper/2021/hash/38811c5285e34e2e3319ab7d9f2cfa5b-Abstract.html},
  timestamp    = {Tue, 03 May 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/nips/WanKRBOD21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2101-02689,
  author       = {Arno Blaas and
                  Stephen J. Roberts},
  title        = {The Effect of Prior Lipschitz Continuity on the Adversarial Robustness
                  of Bayesian Neural Networks},
  journal      = {CoRR},
  volume       = {abs/2101.02689},
  year         = {2021},
  url          = {https://arxiv.org/abs/2101.02689},
  eprinttype    = {arXiv},
  eprint       = {2101.02689},
  timestamp    = {Sun, 24 Jan 2021 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2101-02689.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2104-03180,
  author       = {Andrea Patane and
                  Arno Blaas and
                  Luca Laurenti and
                  Luca Cardelli and
                  Stephen J. Roberts and
                  Marta Kwiatkowska},
  title        = {Adversarial Robustness Guarantees for Gaussian Processes},
  journal      = {CoRR},
  volume       = {abs/2104.03180},
  year         = {2021},
  url          = {https://arxiv.org/abs/2104.03180},
  eprinttype    = {arXiv},
  eprint       = {2104.03180},
  timestamp    = {Tue, 13 Apr 2021 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2104-03180.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2106-09777,
  author       = {Kia Khezeli and
                  Arno Blaas and
                  Frank Soboczenski and
                  Nicholas Chia and
                  John Kalantari},
  title        = {On Invariance Penalties for Risk Minimization},
  journal      = {CoRR},
  volume       = {abs/2106.09777},
  year         = {2021},
  url          = {https://arxiv.org/abs/2106.09777},
  eprinttype    = {arXiv},
  eprint       = {2106.09777},
  timestamp    = {Tue, 29 Jun 2021 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2106-09777.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2111-02842,
  author       = {Xingchen Wan and
                  Henry Kenlay and
                  Binxin Ru and
                  Arno Blaas and
                  Michael A. Osborne and
                  Xiaowen Dong},
  title        = {Adversarial Attacks on Graph Classification via Bayesian Optimisation},
  journal      = {CoRR},
  volume       = {abs/2111.02842},
  year         = {2021},
  url          = {https://arxiv.org/abs/2111.02842},
  eprinttype    = {arXiv},
  eprint       = {2111.02842},
  timestamp    = {Sun, 02 Oct 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2111-02842.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2111-12427,
  author       = {Arno Blaas and
                  Xavier Suau and
                  Jason Ramapuram and
                  Nicholas Apostoloff and
                  Luca Zappella},
  title        = {Challenges of Adversarial Image Augmentations},
  journal      = {CoRR},
  volume       = {abs/2111.12427},
  year         = {2021},
  url          = {https://arxiv.org/abs/2111.12427},
  eprinttype    = {arXiv},
  eprint       = {2111.12427},
  timestamp    = {Fri, 26 Nov 2021 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2111-12427.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/BlaasPLCKR20,
  author       = {Arno Blaas and
                  Andrea Patane and
                  Luca Laurenti and
                  Luca Cardelli and
                  Marta Kwiatkowska and
                  Stephen J. Roberts},
  editor       = {Silvia Chiappa and
                  Roberto Calandra},
  title        = {Adversarial Robustness Guarantees for Classification with Gaussian
                  Processes},
  booktitle    = {The 23rd International Conference on Artificial Intelligence and Statistics,
                  {AISTATS} 2020, 26-28 August 2020, Online [Palermo, Sicily, Italy]},
  series       = {Proceedings of Machine Learning Research},
  volume       = {108},
  pages        = {3372--3382},
  publisher    = {{PMLR}},
  year         = {2020},
  url          = {http://proceedings.mlr.press/v108/blaas20a.html},
  timestamp    = {Mon, 29 Jun 2020 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/aistats/BlaasPLCKR20.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/iclr/RuCBG20,
  author       = {Binxin Ru and
                  Adam D. Cobb and
                  Arno Blaas and
                  Yarin Gal},
  title        = {BayesOpt Adversarial Attack},
  booktitle    = {8th International Conference on Learning Representations, {ICLR} 2020,
                  Addis Ababa, Ethiopia, April 26-30, 2020},
  publisher    = {OpenReview.net},
  year         = {2020},
  url          = {https://openreview.net/forum?id=Hkem-lrtvH},
  timestamp    = {Thu, 07 May 2020 17:11:47 +0200},
  biburl       = {https://dblp.org/rec/conf/iclr/RuCBG20.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/eucc/BlaasMLC19,
  author       = {Arno Blaas and
                  Jos{\'{e}} Mar{\'{\i}}a Manzano and
                  Daniel Lim{\'{o}}n and
                  Jan Calliess},
  title        = {Localised Kinky Inference},
  booktitle    = {17th European Control Conference, {ECC} 2019, Naples, Italy, June
                  25-28, 2019},
  pages        = {985--992},
  publisher    = {{IEEE}},
  year         = {2019},
  url          = {https://doi.org/10.23919/ECC.2019.8796283},
  doi          = {10.23919/ECC.2019.8796283},
  timestamp    = {Thu, 11 Feb 2021 14:14:57 +0100},
  biburl       = {https://dblp.org/rec/conf/eucc/BlaasMLC19.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1905-11876,
  author       = {Arno Blaas and
                  Luca Laurenti and
                  Andrea Patane and
                  Luca Cardelli and
                  Marta Kwiatkowska and
                  Stephen J. Roberts},
  title        = {Robustness Quantification for Classification with Gaussian Processes},
  journal      = {CoRR},
  volume       = {abs/1905.11876},
  year         = {2019},
  url          = {http://arxiv.org/abs/1905.11876},
  eprinttype    = {arXiv},
  eprint       = {1905.11876},
  timestamp    = {Mon, 03 Jun 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-1905-11876.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/sum/BlaasCCR18,
  author       = {Arno Blaas and
                  Adam D. Cobb and
                  Jan{-}Peter Calliess and
                  Stephen J. Roberts},
  editor       = {Davide Ciucci and
                  Gabriella Pasi and
                  Barbara Vantaggi},
  title        = {Scalable Bounding of Predictive Uncertainty in Regression Problems
                  with {SLAC}},
  booktitle    = {Scalable Uncertainty Management - 12th International Conference, {SUM}
                  2018, Milan, Italy, October 3-5, 2018, Proceedings},
  series       = {Lecture Notes in Computer Science},
  volume       = {11142},
  pages        = {373--379},
  publisher    = {Springer},
  year         = {2018},
  url          = {https://doi.org/10.1007/978-3-030-00461-3\_27},
  doi          = {10.1007/978-3-030-00461-3\_27},
  timestamp    = {Tue, 14 May 2019 10:00:52 +0200},
  biburl       = {https://dblp.org/rec/conf/sum/BlaasCCR18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
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