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Anian Ruoss
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Randomized Positional Encodings Boost Length Generalization of Transformers


May 26, 2023
Anian Ruoss, Grégoire Delétang, Tim Genewein, Jordi Grau-Moya, Róbert Csordás, Mehdi Bennani, Shane Legg, Joel Veness

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Memory-Based Meta-Learning on Non-Stationary Distributions


Feb 06, 2023
Tim Genewein, Grégoire Delétang, Anian Ruoss, Li Kevin Wenliang, Elliot Catt, Vincent Dutordoir, Jordi Grau-Moya, Laurent Orseau, Marcus Hutter, Joel Veness

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Beyond Bayes-optimality: meta-learning what you know you don't know


Oct 12, 2022
Jordi Grau-Moya, Grégoire Delétang, Markus Kunesch, Tim Genewein, Elliot Catt, Kevin Li, Anian Ruoss, Chris Cundy, Joel Veness, Jane Wang, Marcus Hutter, Christopher Summerfield, Shane Legg, Pedro Ortega

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* 33 pages, 8 figures, technical report 
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Neural Networks and the Chomsky Hierarchy


Jul 05, 2022
Grégoire Delétang, Anian Ruoss, Jordi Grau-Moya, Tim Genewein, Li Kevin Wenliang, Elliot Catt, Marcus Hutter, Shane Legg, Pedro A. Ortega

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Latent Space Smoothing for Individually Fair Representations


Nov 26, 2021
Momchil Peychev, Anian Ruoss, Mislav Balunović, Maximilian Baader, Martin Vechev

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Fair Normalizing Flows


Jun 10, 2021
Mislav Balunović, Anian Ruoss, Martin Vechev

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Robustness Certification for Point Cloud Models


Mar 30, 2021
Tobias Lorenz, Anian Ruoss, Mislav Balunović, Gagandeep Singh, Martin Vechev

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Efficient Certification of Spatial Robustness


Sep 19, 2020
Anian Ruoss, Maximilian Baader, Mislav Balunović, Martin Vechev

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Learning Certified Individually Fair Representations


Feb 24, 2020
Anian Ruoss, Mislav Balunović, Marc Fischer, Martin Vechev

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