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Anian Ruoss
Anian Ruoss
Google DeepMind
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Learning Certified Individually Fair Representations
A Ruoss, M Balunović, M Fischer, M Vechev
Advances in Neural Information Processing Systems 33, 2020
872020
Neural Networks and the Chomsky Hierarchy
G Delétang, A Ruoss, J Grau-Moya, T Genewein, LK Wenliang, E Catt, ...
International Conference on Learning Representations 11, 2023
712023
Language Modeling Is Compression
G Delétang, A Ruoss, PA Duquenne, E Catt, T Genewein, C Mattern, ...
International Conference on Learning Representations 12, 2024
342024
Randomized Positional Encodings Boost Length Generalization of Transformers
A Ruoss, G Delétang, T Genewein, J Grau-Moya, R Csordás, M Bennani, ...
61st Annual Meeting of the Association for Computational Linguistics, 2023
332023
Fair Normalizing Flows
M Balunović, A Ruoss, M Vechev
International Conference on Learning Representations 10, 2022
29*2022
Robustness Certification for Point Cloud Models
T Lorenz, A Ruoss, M Balunović, G Singh, M Vechev
IEEE/CVF International Conference on Computer Vision 18, 2021
262021
Efficient Certification of Spatial Robustness
A Ruoss, M Baader, M Balunović, M Vechev
AAAI Conference on Artificial Intelligence 35, 2021
222021
Latent Space Smoothing for Individually Fair Representations
M Peychev, A Ruoss, M Balunović, M Baader, M Vechev
European Conference on Computer Vision 17, 2022
112022
Memory-Based Meta-Learning on Non-Stationary Distributions
T Genewein, G Delétang, A Ruoss, LK Wenliang, E Catt, V Dutordoir, ...
International Conference on Machine Learning 40, 2023
52023
Grandmaster-Level Chess Without Search
A Ruoss, G Delétang, S Medapati, J Grau-Moya, LK Wenliang, E Catt, ...
arXiv preprint arXiv:2402.04494, 2024
32024
Beyond Bayes-optimality: meta-learning what you know you don't know
J Grau-Moya, G Delétang, M Kunesch, T Genewein, E Catt, K Li, A Ruoss, ...
arXiv preprint arXiv:2209.15618, 2022
22022
Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search
A Mehrabian, A Anand, H Kim, N Sonnerat, M Balog, G Comanici, ...
3rd Workshop on Mathematical Reasoning and AI at NeurIPS'23, 2023
12023
Evaluating Frontier Models for Dangerous Capabilities
M Phuong, M Aitchison, E Catt, S Cogan, A Kaskasoli, V Krakovna, ...
arXiv preprint arXiv:2403.13793, 2024
2024
Learning Universal Predictors
J Grau-Moya, T Genewein, M Hutter, L Orseau, G Delétang, E Catt, ...
arXiv preprint arXiv:2401.14953, 2024
2024
Distributional Bellman Operators over Mean Embeddings
LK Wenliang, G Déletang, M Aitchison, M Hutter, A Ruoss, A Gretton, ...
arXiv preprint arXiv:2312.07358, 2023
2023
ERAN User Manual
G Singh, M Balunovic, A Ruoss, C Müller, J Maurer, A Hoffmann, ...
2020
Evaluation of Adversarial Attack Methods on Neural Networks
A Ruoss
ETH Zurich, 2019
2019
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