SHIBR—The Swedish Historical Birth Records: a semi-annotated dataset
Cheddad, Abbas, Kusetogullari, Hüseyin, Hilmkil, Agrin, Sundin, Lena, Yavariabdi, Amir, Aouache, Mustapha, Hall, Johan
Published in Neural computing & applications (01.11.2021)
Published in Neural computing & applications (01.11.2021)
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Journal Article
Zero-Shot Learning of Causal Models
Mahajan, Divyat, Gladrow, Jannes, Hilmkil, Agrin, Zhang, Cheng, Scetbon, Meyer
Year of Publication 08.10.2024
Year of Publication 08.10.2024
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Journal Article
FiP: a Fixed-Point Approach for Causal Generative Modeling
Scetbon, Meyer, Jennings, Joel, Hilmkil, Agrin, Zhang, Cheng, Ma, Chao
Year of Publication 10.04.2024
Year of Publication 10.04.2024
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Journal Article
Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning
Ashman, Matthew, Ma, Chao, Hilmkil, Agrin, Jennings, Joel, Zhang, Cheng
Year of Publication 22.03.2023
Year of Publication 22.03.2023
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Journal Article
Pyramid Vector Quantization for LLMs
van der Ouderaa, Tycho F. A, Croci, Maximilian L, Hilmkil, Agrin, Hensman, James
Year of Publication 22.10.2024
Year of Publication 22.10.2024
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Journal Article
Towards Causal Foundation Model: on Duality between Causal Inference and Attention
Zhang, Jiaqi, Jennings, Joel, Hilmkil, Agrin, Pawlowski, Nick, Zhang, Cheng, Ma, Chao
Year of Publication 01.10.2023
Year of Publication 01.10.2023
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Journal Article
Zero-Shot Learning of Causal Models
Mahajan, Divyat, Gladrow, Jannes, Agrin Hilmkil, Zhang, Cheng, Meyer Scetbon
Published in arXiv.org (08.10.2024)
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Published in arXiv.org (08.10.2024)
Paper
FiP: a Fixed-Point Approach for Causal Generative Modeling
Meyer Scetbon, Jennings, Joel, Agrin Hilmkil, Zhang, Cheng, Ma, Chao
Published in arXiv.org (14.04.2024)
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Published in arXiv.org (14.04.2024)
Paper
Understanding Causality with Large Language Models: Feasibility and Opportunities
Zhang, Cheng, Bauer, Stefan, Bennett, Paul, Gao, Jiangfeng, Gong, Wenbo, Hilmkil, Agrin, Jennings, Joel, Ma, Chao, Minka, Tom, Pawlowski, Nick, Vaughan, James
Year of Publication 11.04.2023
Year of Publication 11.04.2023
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Journal Article
The Essential Role of Causality in Foundation World Models for Embodied AI
Gupta, Tarun, Gong, Wenbo, Ma, Chao, Pawlowski, Nick, Hilmkil, Agrin, Scetbon, Meyer, Rigter, Marc, Famoti, Ade, Llorens, Ashley Juan, Gao, Jianfeng, Bauer, Stefan, Kragic, Danica, Schölkopf, Bernhard, Zhang, Cheng
Year of Publication 06.02.2024
Year of Publication 06.02.2024
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Journal Article
Scaling Federated Learning for Fine-tuning of Large Language Models
Hilmkil, Agrin, Callh, Sebastian, Barbieri, Matteo, Sütfeld, Leon René, Zec, Edvin Listo, Mogren, Olof
Year of Publication 01.02.2021
Year of Publication 01.02.2021
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Journal Article
Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning
Ashman, Matthew, Ma, Chao, Agrin Hilmkil, Jennings, Joel, Zhang, Cheng
Published in arXiv.org (22.03.2023)
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Published in arXiv.org (22.03.2023)
Paper
Pyramid Vector Quantization for LLMs
Tycho F A van der Ouderaa, Croci, Maximilian L, Agrin Hilmkil, Hensman, James
Published in arXiv.org (22.10.2024)
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Published in arXiv.org (22.10.2024)
Paper