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https://deepai.org/publication/scallop-a-language-for-neurosymbolic-programming Scallop: A Language for Neurosymbolic Programming | DeepAI Apr 10, 2023 - 04/10/23 - We present Scallop, a language which combines the benefits of deep learning and logical reasoning. Scallop enables users to write ... scallop language neurosymbolic programming deepai https://openreview.net/forum?id=baSjVYDlMc Neurosymbolic Association Rule Mining from Tabular Data | OpenReview Association Rule Mining (ARM) is the task of mining patterns among data features in the form of logical rules, with applications across a myriad of domains.... association rule mining tabular data neurosymbolic openreview https://www.ey.com/en_us/insights/strategy/neurosymbolic-ai-a-new-vision-for-exponential-growth Neurosymbolic AI: a new vision for exponential growth | EY - US Explore how neurosymbolic AI helps organizations make clearer decisions, unlock new value, and navigate complex business challenges with confidence. a new vision neurosymbolic ai exponential growth ey us https://www.weave.ai/ Weave.AI | Neurosymbolic AI That Transforms Enterprise Decision-Making weave ai neurosymbolic transforms enterprise https://openreview.net/forum?id=zIsnMqATI6 mULLER: A Modular Monad-Based Semantics of the Neurosymbolic ULLER Framework | OpenReview ULLER (Unified Language for LEarning and Reasoning) provides a single first-order logic (FOL) syntax, enabling its knowledge bases to be used directly across a... https://openreview.net/forum?id=S1gSrruVd4 On the Independence Assumption in Neurosymbolic Learning | OpenReview State-of-the-art neurosymbolic learning systems use probabilistic reasoning to guide neural networks towards predictions that conform to logical constraints.... on the independence assumption neurosymbolic learning https://openreview.net/forum?id=uO0oaNY9fC A Comparative Study of Neurosymbolic AI Approaches to Interpretable Logical Reasoning | OpenReview General logical reasoning, defined as the ability to reason deductively on domain-agnostic tasks, continues to be a challenge for large language models (LLMs).... comparative study neurosymbolic ai https://pmc.ncbi.nlm.nih.gov/articles/PMC12084822/ Neurosymbolic AI as an antithesis to scaling laws - PMC The recent progress in machine learning has shifted the trends in artificial intelligence (AI) toward an overreliance on increasing amounts of data, computing... neurosymbolic ai scaling laws antithesis pmc https://neo4j.com/event/386468/ Hamburg DS + ML Meetup - Neurosymbolic AI with LLMs and Knowledge Graphs - 2025-08-28 18:00:00 https://openreview.net/forum?id=chlTA9Cegc A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference | OpenReview We study the problem of combining neural networks with symbolic reasoning. Recently introduced frameworks for Probabilistic Neurosymbolic Learning (PNL), such... nesi scalable approximate method probabilistic https://neurosymbolic-ai-journal.com/ About Neurosymbolic Artificial Intelligence | Neurosymbolic Artificial Intelligence neurosymbolic artificial intelligence https://www.dagstuhl.de/seminars/seminar-calendar/seminar-details/26472 Dagstuhl Seminar 26472: Neurosymbolic Reasoning About Policies and Legal Texts policies and legal dagstuhl seminar neurosymbolic reasoning texts https://openreview.net/forum?id=giOus054WOy Neurosymbolic Deep Generative Models for Sequence Data with Relational Constraints | OpenReview We use program synthesis to extract a distribution of constraints over sequence data, and then synthesize data adhering to that distribution of constraints... deep generative models sequence data neurosymbolic https://www.mediapost.com/publications/article/407203/dentsu-invests-in-neurosymbolic-ai-platform.html?edition=139092 Dentsu Invests In Neurosymbolic AI Platform 07/08/2025 Dentsu Invests In Neurosymbolic AI Platform - 07/08/2025 neurosymbolic ai dentsu invests platform 07