Arno Blaas

According to our database1, Arno Blaas authored at least 17 papers between 2018 and 2024.

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Bibliography

2024
Controlling Language and Diffusion Models by Transporting Activations.
CoRR, 2024

Considerations for Distribution Shift Robustness of Diagnostic Models in Healthcare.
CoRR, 2024

2023
Robust multimodal models have outlier features and encode more concepts.
CoRR, 2023

DUET: 2D Structured and Approximately Equivariant Representations.
Proceedings of the International Conference on Machine Learning, 2023

The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning.
Proceedings of the International Conference on Machine Learning, 2023

2022
Adversarial Robustness Guarantees for Gaussian Processes.
J. Mach. Learn. Res., 2022

2021
Adversarial Attacks on Graph Classification via Bayesian Optimisation.
CoRR, 2021

On Invariance Penalties for Risk Minimization.
CoRR, 2021

The Effect of Prior Lipschitz Continuity on the Adversarial Robustness of Bayesian Neural Networks.
CoRR, 2021

Adversarial Attacks on Graph Classifiers via Bayesian Optimisation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Prototyping CRISP: A Causal Relation and Inference Search Platform applied to Colorectal Cancer Data.
Proceedings of the 3rd IEEE Global Conference on Life Sciences and Technologies, 2021

Challenges of Adversarial Image Augmentations.
Proceedings of the I (Still) Can't Believe It's Not Better! Workshop at NeurIPS 2021, 2021

2020
BayesOpt Adversarial Attack.
Proceedings of the 8th International Conference on Learning Representations, 2020

Adversarial Robustness Guarantees for Classification with Gaussian Processes.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Robustness Quantification for Classification with Gaussian Processes.
CoRR, 2019

Localised Kinky Inference.
Proceedings of the 17th European Control Conference, 2019

2018
Scalable Bounding of Predictive Uncertainty in Regression Problems with SLAC.
Proceedings of the Scalable Uncertainty Management - 12th International Conference, 2018


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