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Arno Blaas
Observed names:
A. Blaas,
Blaas, Arno
Institutions:
ETH Zurich,
Apple (United States)
Observed institutions:
University of Cambridge,
ETH Zurich,
University of Oxford,
Apple (United States)
OpenAlex ID:
A5086300347
BayesOpt Adversarial Attack
2020
·
Binxin Ru
, Adam D. Cobb
, et al.
·
International Conference on Learning Representations
·
54
Adversarial Robustness Guarantees for Classification with Gaussian Processes
2019
·
Blaas, Arno
, Patane, Andrea
, et al.
·
arXiv (Cornell University)
·
17
PDF
Adversarial Robustness Guarantees for Classification with Gaussian Processes
2020
·
Blaas, Arno
, Laurenti, Luca
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
·
14
PDF
Prototyping CRISP: A Causal Relation and Inference Search Platform applied to Colorectal Cancer Data
2021
·
Samuel Budd
, Arno Blaas
, et al.
·
IEEE Global Conference on Life Sciences and Technologies (LifeTech)
·
10
Localised Kinky Inference
2019
·
A. Blaas
, J.M. Manzano
, et al.
·
European Control Conference (ECC)
·
8
Adversarial Attacks on Graph Classification via Bayesian Optimisation
2021
·
Wan, Xingchen
, Kenlay, Henry
, et al.
·
arXiv (Cornell University)
·
7
PDF
Robustness Quantification for Classification with Gaussian Processes.
2019
·
Arno Blaas
, Luca Laurenti
, et al.
·
arXiv (Cornell University)
·
6
Adversarial Attacks on Graph Classifiers via Bayesian Optimisation
2021
·
Xingchen Wan
, Henry Kenlay
, et al.
·
neural information processing systems
·
5
Adversarial Robustness Guarantees for Gaussian Processes
2021
·
Patane, Andrea
, Blaas, Arno
, et al.
·
arXiv (Cornell University)
·
4
PDF
Scalable Bounding of Predictive Uncertainty in Regression Problems with SLAC
2018
·
Arno Blaas
, Adam D. Cobb
, et al.
·
Lecture notes in computer science
·
3
LinEAS: End-to-end Learning of Activation Steering with a Distributional Loss
2025
·
Pau Rodriguez
, Michal Klein
, et al.
·
neural information processing systems
·
2
PDF
On Invariance Penalties for Risk Minimization
2021
·
Khezeli, Kia
, Blaas, Arno
, et al.
·
White Rose Research Online (University of Leeds, The University of Sheffield, University of York)
·
2
PDF
Revisiting Uncertainty Quantification Evaluation in Language Models: Spurious Interactions with Response Length Bias Results
2025
·
Andrea Santilli
, Adam Golinski
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
·
1
PDF
Considerations for Distribution Shift Robustness of Diagnostic Models in Healthcare
2024
·
Blaas, Arno
, Goliński, Adam
, et al.
·
arXiv (Cornell University)
·
1
PDF
The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning
2023
·
Rodríguez-Gálvez, Borja
, Blaas, Arno
, et al.
·
arXiv (Cornell University)
·
1
PDF
The Effect of Prior Lipschitz Continuity on the Adversarial Robustness of Bayesian Neural Networks
2021
·
Blaas, Arno
, Roberts, Stephen J.
·
arXiv (Cornell University)
·
1
PDF
Uncertainty Quantification for LLM Function-Calling
2026
·
Ye, Zihuiwen
, Aichberger, Lukas
, et al.
·
arXiv (Cornell University)
PDF
The Design Space of Tri-Modal Masked Diffusion Models
2026
·
Bethune, Louis
, Turrisi, Victor
, et al.
·
arXiv (Cornell University)
PDF
Sparse Autoencoders are Capable LLM Jailbreak Mitigators
2026
·
Assogba, Yannick
, Cortellazzi, Jacopo
, et al.
·
arXiv (Cornell University)
PDF
GenCtrl -- A Formal Controllability Toolkit for Generative Models
2026
·
Cheng, Emily
, Alonso, Carmen Amo
, et al.
·
arXiv (Cornell University)
PDF
On The Effectiveness-Fluency Trade-Off In LLM Conditioning: A Systematic Study
2026
·
Iuri Macocco
, Pau Rodriguez
, et al.
·
BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP)
PDF
SelfReflect: Can LLMs Communicate Their Internal Answer Distribution?
2025
·
Kirchhof, Michael
, Füger, Luca
, et al.
·
arXiv (Cornell University)
PDF
Controlling Language and Diffusion Models by Transporting Activations
2024
·
Rodriguez, Pau
, Blaas, Arno
, et al.
·
arXiv (Cornell University)
PDF
Interpreting CLIP: Insights on the Robustness to ImageNet Distribution Shifts
2023
·
Crabbé, Jonathan
, Rodríguez, Pau
, et al.
·
arXiv (Cornell University)
PDF
DUET: 2D Structured and Approximately Equivariant Representations
2023
·
Suau, Xavier
, Danieli, Federico
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
28
Citation count:
136
H-index:
6
I10-index:
4
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