Arno Blaas
8 papers · 2020–2025 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🗺️
Taxonomy Completionist
(16)
🐣
Hot Topic Early Bird
Top co-authors
Research topics
Machine Learning
(7)
Learning Types · Machine Learning
(6)
Artificial Intelligence
(5)
Deep Learning
(4)
Core AI
(4)
Core Methods
(3)
Optimization & Theory
(3)
Learning Types · Deep Learning
(2)
Architectures
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Learning Paradigms
(1)
Models
(1)
Keywords
multi-view self-supervised learning
(2)
multi-view learning
(2)
uncertainty quantification
(2)
adversarial robustness
(2)
self-supervised learning
(2)
adversarial attack
(2)
black-box attack
(2)
branch and bound
(2)
contrastive learning
(2)
mutual information
(1)
posterior estimation
(1)
bayesian optimization
(1)
gaussian process classification
(1)
diffusion model
(1)
language model
(1)
equivariant representation
(1)
robustness verification
(1)
classification probability
(1)
safety-critical application
(1)
prediction range
(1)
Papers
Controlling Language and Diffusion Models by Transporting Activations
ICLR 2025
Revisiting Uncertainty Quantification Evaluation in Language Models: Spurious Interactions with Response Length Bias Results
ACL 2025
DUET: 2D Structured and Approximately Equivariant Representations
ICML 2023
The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning
ICML 2023
Adversarial Robustness Guarantees for Gaussian Processes
JMLR 2022
Adversarial Attacks on Graph Classifiers via Bayesian Optimisation
NeurIPS 2021
Adversarial Robustness Guarantees for Classification with Gaussian Processes
AISTATS 2020
BayesOpt Adversarial Attack
ICLR 2020