statistical relational learning

From Statistical Relational to Neuro-Symbolic Artificial Intelligence AAAI 2024 Counting and Sampling Models in First-Order Logic IJCAI 2023 Lifted Inference with Linear Order Axiom AAAI 2023 Principled and Efficient Motif Finding for Structure Learning of Lifted Graphical Models AAAI 2023 Relational Neural Markov Random Fields AISTATS 2022 Neural markov logic networks UAI 2021 A Complete Characterization of Projectivity for Statistical Relational Models IJCAI 2020 Complex Markov Logic Networks: Expressivity and Liftability UAI 2020 Tandem Inference: An Out-of-Core Streaming Algorithm for Very Large-Scale Relational Inference AAAI 2020 Xeggora: Exploiting Immune-to-Evidence Symmetries with Full Aggregation in Statistical Relational Models (Extended Abstract) IJCAI 2020 Cautious Rule-Based Collective Inference IJCAI 2019 Determining the Number of Latent Factors in Statistical Multi-Relational Learning JMLR 2019 Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs AAAI 2019 Lifted Hinge-Loss Markov Random Fields AAAI 2019 Quantum Embedding of Knowledge for Reasoning NeurIPS 2019 Efficient Weight Learning in High-Dimensional Untied MLNs AISTATS 2018 Induction of Interpretable Possibilistic Logic Theories from Relational Data IJCAI 2017 Logic Tensor Networks for Semantic Image Interpretation IJCAI 2017 Statistical Unfolded Logic Learning ACML 2015 Learning and Model-Checking Networks of I/O Automata ACML 2012 On Lifting the Gibbs Sampling Algorithm NeurIPS 2012 Slice Normalized Dynamic Markov Logic Networks NeurIPS 2012 Relational Learning with One Network: An Asymptotic Analysis AISTATS 2011 Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning NeurIPS 2010