Zobrazeno 1 - 10
of 6 544
pro vyhledávání: '"A, Willig"'
Autor:
Willig, Moritz, Tobiasch, Tim Nelson, Busch, Florian Peter, Seng, Jonas, Dhami, Devendra Singh, Kersting, Kristian
Most work on causality in machine learning assumes that causal relationships are driven by a constant underlying process. However, the flexibility of agents' actions or tipping points in the environmental process can change the qualitative dynamics o
Externí odkaz:
http://arxiv.org/abs/2410.13054
$\chi$SPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains
Autor:
Poonia, Harsh, Willig, Moritz, Yu, Zhongjie, Zečević, Matej, Kersting, Kristian, Dhami, Devendra Singh
Causal inference in hybrid domains, characterized by a mixture of discrete and continuous variables, presents a formidable challenge. We take a step towards this direction and propose Characteristic Interventional Sum-Product Network ($\chi$SPN) that
Externí odkaz:
http://arxiv.org/abs/2408.07545
Autor:
Pell, Samuel, Willig, Andreas
Recently, swarms or formations of drones have received increased interest both in the literature and in applications. To dynamically adapt to their operating environment, swarm members need to communicate wirelessly for control and coordination tasks
Externí odkaz:
http://arxiv.org/abs/2404.01570
Structural causal models (SCMs) are a powerful tool for understanding the complex causal relationships that underlie many real-world systems. As these systems grow in size, the number of variables and complexity of interactions between them does, too
Externí odkaz:
http://arxiv.org/abs/2310.08377
Publikováno v:
Transactions in Machine Learning Research (08/2023)
Some argue scale is all what is needed to achieve AI, covering even causal models. We make it clear that large language models (LLMs) cannot be causal and give reason onto why sometimes we might feel otherwise. To this end, we define and exemplify a
Externí odkaz:
http://arxiv.org/abs/2308.13067
Autor:
Matthieu Le Dorze, Romain Barthélémy, Olivier Lesieur, Gérard Audibert, Marie-Ange Azais, Dorothée Carpentier, Charles Cerf, Gaëlle Cheisson, Renaud Chouquer, Vincent Degos, Marion Fresco, Fabien Lambiotte, Emmanuelle Mercier, Jérôme Morel, Laurent Muller, Erika Parmentier-Decrucq, Sébastien Prin, Armine Rouhani, France Roussin, Jean-Christophe Venhard, Mathieu Willig, Catherine Vernay, Benjamin Chousterman, Nancy Kentish-Barnes, the CARE-M3 Research Group
Publikováno v:
BMC Medical Ethics, Vol 25, Iss 1, Pp 1-9 (2024)
Abstract Background The development of controlled donation after circulatory death (cDCD) is both important and challenging. The tension between end-of-life care and organ donation raises significant ethical issues for healthcare professionals in the
Externí odkaz:
https://doaj.org/article/19e190d2a1744e3393127e690ccf3bb6
Autor:
Band, Saurabh, Stechmann, Florian, Unnikrishnan, Malavika, Attarha, Shadi, Heinicke, Christiane, Willig, Andreas, Förster, Anna
Among the various required resources for this civilization, the habitat is one of the crucial resources to live on Mars. Such an extraterrestrial habitat is designed to provide a safe place to live during the initial missions. It is equipped with mon
Externí odkaz:
http://arxiv.org/abs/2305.08143
Publikováno v:
Revista Brasileira de Pesquisa em Educação em Ciências, Vol 24, Iss u, Pp 1-64 (2024)
Neste artigo, apresentamos um estudo empírico que tem como objetivo geral problematizar a tensão entre autonomia epistêmica e confiança na ciência, bem como os compromissos epistêmico-políticos de diferentes correntes sociológicas, partindo d
Externí odkaz:
https://doaj.org/article/81f8fa3760fd4de9993c69d383993b34
Publikováno v:
Methods in Ecology and Evolution, Vol 15, Iss 5, Pp 868-885 (2024)
Abstract Quantification of phenological patterns (e.g. migration, hibernation or reproduction) should involve statistical assessments of non‐uniform temporal patterns. Circular statistics (e.g. Rayleigh test or Hermans‐Rasson test) provide useful
Externí odkaz:
https://doaj.org/article/42e00959dcc3467a99c10e48b02ab066
This short paper discusses continually updated causal abstractions as a potential direction of future research. The key idea is to revise the existing level of causal abstraction to a different level of detail that is both consistent with the history
Externí odkaz:
http://arxiv.org/abs/2212.12575