neuro-symbolic ai

What Do Hebbian Learners Learn? Reduction Axioms for Iterated Hebbian Learning AAAI 2024 A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints NeurIPS 2023 Neuro-Symbolic Learning of Answer Set Programs from Raw Data IJCAI 2023 Neurosymbolic Reasoning and Learning with Restricted Boltzmann Machines AAAI 2023 Principled and Efficient Motif Finding for Structure Learning of Lifted Graphical Models AAAI 2023 Soft-Unification in Deep Probabilistic Logic NeurIPS 2023 Targeted Knowledge Infusion To Make Conversational AI Explainable and Safe AAAI 2023 Utterance Classification with Logical Neural Network: Explainable AI for Mental Disorder Diagnosis ACL 2023 Application of Neurosymbolic AI to Sequential Decision Making IJCAI 2022 Formalizing Consistency and Coherence of Representation Learning NeurIPS 2022 Injecting Logical Constraints into Neural Networks via Straight-Through Estimators ICML 2022 Logical Neural Networks for Knowledge Base Completion with Embeddings & Rules EMNLP 2022 Techniques for Symbol Grounding with SATNet NeurIPS 2021 From Statistical Relational to Neuro-Symbolic Artificial Intelligence IJCAI 2020 SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver ICML 2019