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https://research.google/blog/evaluating-and-enhancing-probabilistic-reasoning-in-language-models/ Evaluating and enhancing probabilistic reasoning in language models probabilistic reasoning evaluating enhancing language models https://openreview.net/forum?id=Z5IhldwKjTe&referrer=%5Bthe%20profile%20of%20Adam%20Arany%5D(%2Fprofile%3Fid%3D~Adam_Arany1) Weakly Supervised Knowledge Transfer with Probabilistic Logical Reasoning for Object Detection |... Training object detection models usually requires instance-level annotations, such as the positions and labels of all objects present in each image. Such... knowledge transfer logical reasoning supervised https://heurishealth.com/ HEURIS Health | Explainable Probabilistic Clinical Reasoning HEURIS is developing an explainable probabilistic clinical reasoning engine designed to reduce diagnostic error in frontline healthcare. health probabilistic clinical reasoning https://openreview.net/forum?id=OxlUWQ42xY&referrer=%5Bthe%20profile%20of%20Kostis%20Gourgoulias%5D(%2Fprofile%3Fid%3D~Kostis_Gourgoulias1) MultiVerse: Causal Reasoning using Importance Sampling in Probabilistic Programming | OpenReview We elaborate on using importance sampling for causal reasoning, in particular for counterfactual inference. We show how this can be implemented natively in... causal reasoning importance sampling probabilistic programming multiverse using https://anr.fr/Project-ANR-24-CE48-5521 Higher-Order Probabilistic and resource-aware Reasoning | ANR The digitalization of our societies comes with increasing risks in security and privacy. Formal methods based on logic initially developed for verification of... higher order probabilistic resource aware https://openreview.net/forum?id=XN6ZPINdSg COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits |... Conformal prediction has shown spurring performance in constructing statistically rigorous prediction sets for arbitrary black-box machine learning models,... conformal prediction colep robust learning reasoning https://aclanthology.org/2020.findings-emnlp.427/ Probabilistic Case-based Reasoning for Open-World Knowledge Graph Completion - ACL Anthology Rajarshi Das, Ameya Godbole, Nicholas Monath, Manzil Zaheer, Andrew McCallum. Findings of the Association for Computational Linguistics: EMNLP 2020. 2020. case based reasoning open world https://www.abebooks.co.uk/9780198524502/Bayesian-Rationality-Probabilistic-Approach-Human-0198524501/plp Bayesian Rationality: The probabilistic approach to human reasoning (Oxford Cognitive Science... Are people rational? This question was central to Greek thought; and has been at the heart of psychology and philosophy for millennia. This book provides a... bayesian rationality probabilistic approach https://deepai.org/publication/probabilistic-reasoning-in-the-description-logic-alcp-with-the-principle-of-maximum-entropy-full-version Probabilistic Reasoning in the Description Logic ALCP with the Principle of Maximum Entropy (Full... Jun 30, 2016 - 06/30/16 - A central question for knowledge representation is how to encode and handle uncertain knowledge adequately. We introduce the proba... principle of maximum entropy https://openreview.net/forum?id=rTz88hpGxc Probabilistic Abduction for Visual Abstract Reasoning via Learning Rules in Vector-symbolic... Abstract reasoning is a cornerstone of human intelligence, and replicating it with artificial intelligence (AI) presents an ongoing challenge. This study... probabilistic abduction visual abstract