Results 11 to 20 of about 451,043 (309)
On the Causality and K-Causality between Measures [PDF]
Universe, 2017 Drawing from the optimal transport theory adapted to the Lorentzian setting, we propose and study the extension of the Sorkin–Woolgar causal relation K + onto the space of Borel probability measures on a given spacetime.
Tomasz Miller
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Causal Reasoning and Large Language Models: Opening a New Frontier for Causality [PDF]
Trans. Mach. Learn. Res., 2023 The causal capabilities of large language models (LLMs) are a matter of significant debate, with critical implications for the use of LLMs in societally impactful domains such as medicine, science, law, and policy.
Emre Kıcıman +3 more
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Some Epistemological and Ontological Reflections on Concept of Causality: From Scientific Causality to Contextual Causality [PDF]
مجلة القراءة والمعرفة, 2022 This paper tries to present a critical analysis to the concept of scientific causality and the problems that it entails within scientific domain.
Mohamed S Hassan Engy H Abdel Hafez Hassan
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Causality Inspired Representation Learning for Domain Generalization [PDF]
Computer Vision and Pattern Recognition, 2022 Domain generalization (DG) is essentially an out-of-distribution problem, aiming to generalize the knowledge learned from multiple source domains to an unseen target domain. The mainstream is to leverage statistical models to model the dependence between
Fangrui Lv +6 more
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Granger Causality: A Review and Recent Advances [PDF]
Annual Review of Statistics and Its Application, 2021 Introduced more than a half-century ago, Granger causality has become a popular tool for analyzing time series data in many application domains, from economics and finance to genomics and neuroscience.
A. Shojaie, E. Fox
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Causal versions of maximum entropy and principle of insufficient reason
Journal of Causal Inference, 2021 The principle of insufficient reason (PIR) assigns equal probabilities to each alternative of a random experiment whenever there is no reason to prefer one over the other.
Janzing Dominik
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Thyroid hormone: sex-dependent role in nervous system regulation and disease
Biology of Sex Differences, 2021 Thyroid hormone (TH) regulates many functions including metabolism, cell differentiation, and nervous system development. Alteration of thyroid hormone level in the body can lead to nervous system-related problems linked to cognition, visual attention ...
Shounak Baksi, Ajay Pradhan
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IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 While most classical approaches to Granger causality detection assume linear dynamics, many interactions in real-world applications, like neuroscience and genomics, are inherently nonlinear.
Alex Tank +4 more
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Entropy, 2023 Universal Causality is a mathematical framework based on higher-order category theory, which generalizes previous approaches based on directed graphs and regular categories.
Sridhar Mahadevan
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Quantitative Causality, Causality-Aided Discovery, and Causal Machine Learning
Ocean-Land-Atmosphere Research, 2023 It has been said, arguably, that causality analysis should pave a promising way to interpretable deep learning and generalization. Incorporation of causality into artificial intelligence algorithms, however, is challenged with its vagueness, nonquantitativeness, computational inefficiency, etc.
Xin‐Zhong Liang +2 more
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