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| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ... arXiv preprint arXiv:2403.05530, 2024 | 108 | 2024 |
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| Grounded language learning fast and slow F Hill, O Tieleman, T Von Glehn, N Wong, H Merzic, S Clark arXiv preprint arXiv:2009.01719, 2020 | 79 | 2020 |
| Creating multimodal interactive agents with imitation and self-supervised learning DMIA Team, J Abramson, A Ahuja, A Brussee, F Carnevale, M Cassin, ... arXiv preprint arXiv:2112.03763, 2021 | 41 | 2021 |
| Polynomials and models of type theory T Von Glehn | 26 | 2015 |
| Improving multimodal interactive agents with reinforcement learning from human feedback J Abramson, A Ahuja, F Carnevale, P Georgiev, A Goldin, A Hung, ... arXiv preprint arXiv:2211.11602, 2022 | 24 | 2022 |
| Dialectica models of type theory SK Moss, T von Glehn Proceedings of the 33rd Annual ACM/IEEE Symposium on Logic in Computer …, 2018 | 17 | 2018 |
| Partially-static data as free extension of algebras J Yallop, T Von Glehn, O Kammar Proceedings of the ACM on Programming Languages 2 (ICFP), 1-30, 2018 | 16 | 2018 |
| Polynomials, fibrations and distributive laws T Von Glehn Theory and Applications of Categories 33 (36), 1111-1144, 2018 | 7 | 2018 |
| Categorical deep learning: An algebraic theory of architectures B Gavranović, P Lessard, A Dudzik, T von Glehn, JGM Araújo, ... arXiv preprint arXiv:2402.15332, 2024 | 5 | 2024 |
| Asynchronous algorithmic alignment with cocycles AJ Dudzik, T von Glehn, R Pascanu, P Veličković Learning on Graphs Conference, 3: 1-3: 17, 2024 | 3 | 2024 |
| Evaluating multimodal interactive agents J Abramson, A Ahuja, F Carnevale, P Georgiev, A Goldin, A Hung, ... arXiv preprint arXiv:2205.13274, 2022 | 3 | 2022 |
| Formalising Concepts as Grounded Abstractions S Clark, A Lerchner, T von Glehn, O Tieleman, R Tanburn, M Dashevskiy, ... arXiv preprint arXiv:2101.05125, 2021 | 1 | 2021 |
| Controlling interactive agents using multi-modal inputs JS Abramson, A Ahuja, FJ Carnevale, PI Georgiev, CC Hung, TP Lillicrap, ... US Patent App. 18/077,194, 2023 | | 2023 |
| Position: Categorical Deep Learning is an Algebraic Theory of All Architectures B Gavranović, P Lessard, AJ Dudzik, T von Glehn, JGM Araújo, ... Forty-first International Conference on Machine Learning, 0 | | |
