Arno Blaas

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 19

Top Topics

Gaussian Processes

Top Venues

Publications

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)
Jonathan Crabbé, Pau Rodríguez, Vaishaal Shankar, Luca Zappella, Arno Blaas
Robust multimodal models have outlier features and encode more concepts. CoRR (2023)
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 (2023)
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)
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 (2023)
Andrea Patane, Arno Blaas, Luca Laurenti, Luca Cardelli, Stephen Roberts, Marta Kwiatkowska
Adversarial Robustness Guarantees for Gaussian Processes. J. Mach. Learn. Res. 23 (2022)
Xingchen Wan, Henry Kenlay, Binxin Ru, Arno Blaas, Michael A. Osborne, Xiaowen Dong
Adversarial Attacks on Graph Classification via Bayesian Optimisation. CoRR (2021)
Arno Blaas, Xavier Suau, Jason Ramapuram, Nicholas Apostoloff, Luca Zappella
Challenges of Adversarial Image Augmentations. ICBINB@NeurIPS (2021)
Kia Khezeli, Arno Blaas, Frank Soboczenski, Nicholas Chia, John Kalantari
On Invariance Penalties for Risk Minimization. CoRR (2021)
Xingchen Wan, Henry Kenlay, Robin Ru, Arno Blaas, Michael A. Osborne, Xiaowen Dong
Adversarial Attacks on Graph Classifiers via Bayesian Optimisation. NeurIPS (2021)
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)
Arno Blaas, Stephen J. Roberts
The Effect of Prior Lipschitz Continuity on the Adversarial Robustness of Bayesian Neural Networks. CoRR (2021)
Andrea Patane, Arno Blaas, Luca Laurenti, Luca Cardelli, Stephen J. Roberts, Marta Kwiatkowska
Adversarial Robustness Guarantees for Gaussian Processes. CoRR (2021)
Arno Blaas, Xavier Suau, Jason Ramapuram, Nicholas Apostoloff, Luca Zappella
Challenges of Adversarial Image Augmentations. CoRR (2021)
Arno Blaas, Andrea Patane, Luca Laurenti, Luca Cardelli, Marta Kwiatkowska, Stephen J. Roberts
Adversarial Robustness Guarantees for Classification with Gaussian Processes. AISTATS (2020)
Binxin Ru, Adam D. Cobb, Arno Blaas, Yarin Gal
BayesOpt Adversarial Attack. ICLR (2020)
Arno Blaas, Luca Laurenti, Andrea Patane, Luca Cardelli, Marta Kwiatkowska, Stephen J. Roberts
Robustness Quantification for Classification with Gaussian Processes. CoRR (2019)
Arno Blaas, José María Manzano, Daniel Limón, Jan Calliess
Localised Kinky Inference. ECC (2019)
Arno Blaas, Adam D. Cobb, Jan-Peter Calliess, Stephen J. Roberts
Scalable Bounding of Predictive Uncertainty in Regression Problems with SLAC. SUM (2018)