Understanding causality with large language models: Feasibility and opportunities C Zhang, S Bauer, P Bennett, J Gao, W Gong, A Hilmkil, J Jennings, C Ma, ... arXiv preprint arXiv:2304.05524, 2023 | 28 | 2023 |
Scaling federated learning for fine-tuning of large language models A Hilmkil, S Callh, M Barbieri, LR Sütfeld, EL Zec, O Mogren International Conference on Applications of Natural Language to Information …, 2021 | 24 | 2021 |
Towards machine learning on data from professional cyclists A Hilmkil, O Ivarsson, M Johansson, D Kuylenstierna, T van Erp arXiv preprint arXiv:1808.00198, 2018 | 19 | 2018 |
SHIBR—The Swedish historical birth records: A semi-annotated dataset A Cheddad, H Kusetogullari, A Hilmkil, L Sundin, A Yavariabdi, ... Neural Computing and Applications 33, 15863-15875, 2021 | 10 | 2021 |
Causal reasoning in the presence of latent confounders via neural admg learning M Ashman, C Ma, A Hilmkil, J Jennings, C Zhang arXiv preprint arXiv:2303.12703, 2023 | 7 | 2023 |
A causal AI suite for decision-making E Kiciman, EW Dillon, D Edge, A Foster, A Hilmkil, J Jennings, C Ma, ... NeurIPS 2022 Workshop on Causality for Real-world Impact, 2022 | 7 | 2022 |
Perceiving music quality with gans A Hilmkil, C Thomé, A Arpteg arXiv preprint arXiv:2006.06287, 2020 | 3 | 2020 |
The Essential Role of Causality in Foundation World Models for Embodied AI T Gupta, W Gong, C Ma, N Pawlowski, A Hilmkil, M Scetbon, A Famoti, ... arXiv preprint arXiv:2402.06665, 2024 | 2 | 2024 |
Learned Causal Method Prediction S Gupta, C Zhang, A Hilmkil arXiv preprint arXiv:2311.03989, 2023 | 1 | 2023 |
FiP: a Fixed-Point Approach for Causal Generative Modeling M Scetbon, J Jennings, A Hilmkil, C Zhang, C Ma arXiv preprint arXiv:2404.06969, 2024 | | 2024 |
Modelling causation in machine learning G Wenbo, C Zhang, N Pawlowski, J Jennings, K Fassio, M Defante, ... US Patent App. 17/936,347, 2024 | | 2024 |
Modelling causation in machine learning C Ma, C Zhang, M Ashman, M Defante, K Fassio, J Jennings, A Hilmkil US Patent App. 17/936,338, 2024 | | 2024 |
Towards Machine Learning on Data from Professional Cyclists O Ivarsson, A Hilmkil, M Johansson | | |