Hinge-Loss Markov Random Fields and Probabilistic Soft Logic

17 May 2015

Stephen H. Bach

Matthias Broecheler

Bert Huang

Lise Getoor

TPM

AI4CE

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Papers citing "Hinge-Loss Markov Random Fields and Probabilistic Soft Logic"

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Title
Relational Reasoning Networks G. Marra Michelangelo Diligenti Francesco Giannini NAI 24 4 0 01 Jun 2021
Classifying Argumentative Relations Using Logical Mechanisms and Argumentation Schemes Yohan Jo Seo-Jin Bang Chris Reed Eduard H. Hovy 11 34 0 17 May 2021
Human Schema Curation via Causal Association Rule Mining Noah Weber Anton Belyy Nils Holzenberger Rachel Rudinger Benjamin Van Durme 14 0 0 18 Apr 2021
Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning Xuelu Chen Michael Boratko Muhao Chen S. Dasgupta Xiang Lorraine Li Andrew McCallum 18 45 0 09 Apr 2021
Modular Design Patterns for Hybrid Learning and Reasoning Systems: a taxonomy, patterns and use cases M. V. Bekkum M. D. Boer F. V. Harmelen André Meyer-Vitali A. T. Teije 14 68 0 23 Feb 2021
Randomized Deep Structured Prediction for Discourse-Level Processing Manuel Widmoser Maria Leonor Pacheco Jean Honorio Dan Goldwasser BDL 25 7 0 25 Jan 2021
Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference Yichao Zhou Yu Yan Rujun Han J. H. Caufield Kai-Wei Chang Yizhou Sun Peipei Ping Wei Wang NAI 11 42 0 16 Dec 2020
Neurosymbolic AI: The 3rd Wave Artur Garcez Luís C. Lamb NAI 57 288 0 10 Dec 2020
Contrastive Losses and Solution Caching for Predict-and-Optimize Maxime Mulamba Jayanta Mandi Michelangelo Diligenti M. Lombardi Víctor Bucarey Tias Guns 16 48 0 10 Nov 2020
Modeling Content and Context with Deep Relational Learning Maria Leonor Pacheco Dan Goldwasser NAI 33 34 0 20 Oct 2020
Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases G. Weikum Luna Dong Simon Razniewski Fabian M. Suchanek 16 125 0 24 Sep 2020
Neural Networks Enhancement with Logical Knowledge Alessandro Daniele Luciano Serafini NAI 19 3 0 13 Sep 2020
HyperFair: A Soft Approach to Integrating Fairness Criteria Charles Dickens Rishika Singh Lise Getoor 17 4 0 05 Sep 2020
Foundations of Reasoning with Uncertainty via Real-valued Logics Ronald Fagin Ryan Riegel Alexander G. Gray NAI LRM AI4CE 12 8 0 06 Aug 2020
Logical Neural Networks Ryan Riegel Alexander G. Gray F. Luus Naweed Khan Ndivhuwo Makondo ... S. Ikbal Hima P. Karanam S. Neelam Ankita Likhyani S. Srivastava NAI 6 147 0 23 Jun 2020
An Integer Linear Programming Framework for Mining Constraints from Data Tao Meng Kai-Wei Chang 8 6 0 18 Jun 2020
RelEx: A Model-Agnostic Relational Model Explainer Yue Zhang David DeFazio Arti Ramesh 8 104 0 30 May 2020
Learning and Reasoning for Robot Dialog and Navigation Tasks Keting Lu Shiqi Zhang Peter Stone Xiaoping Chen 6 5 0 20 May 2020
Exploring Probabilistic Soft Logic as a framework for integrating top-down and bottom-up processing of language in a task context Johannes Dellert 6 3 0 15 Apr 2020
OptTyper: Probabilistic Type Inference by Optimising Logical and Natural Constraints Irene Vlassi Pandi Earl T. Barr Andrew D. Gordon Charles Sutton 11 29 0 01 Apr 2020
Struct-MMSB: Mixed Membership Stochastic Blockmodels with Interpretable Structured Priors Yue Zhang Arti Ramesh 9 2 0 21 Feb 2020
Learning Fairness-aware Relational Structures Yue Zhang Arti Ramesh FaML 6 6 0 21 Feb 2020
Relational Neural Machines G. Marra Michelangelo Diligenti Francesco Giannini Marco Gori Marco Maggini NAI BDL 25 37 0 06 Feb 2020
Efficient Probabilistic Logic Reasoning with Graph Neural Networks Yuyu Zhang Xinshi Chen Yu’an Yang Arun Ramamurthy Bo-wen Li Yuan Qi Le Song AI4CE 10 110 0 29 Jan 2020
Estimating Aggregate Properties In Relational Networks With Unobserved Data Varun R. Embar S. Srinivasan Lise Getoor 9 0 0 16 Jan 2020
EGGS: A Flexible Approach to Relational Modeling of Social Network Spam Jonathan Brophy Daniel Lowd 10 3 0 14 Jan 2020
Joint Reasoning for Multi-Faceted Commonsense Knowledge Yohan Chalier Simon Razniewski G. Weikum LRM 12 25 0 13 Jan 2020
User Profiling Using Hinge-loss Markov Random Fields G. Farnadi Lise Getoor Marie-Francine Moens Martine De Cock 9 2 0 05 Jan 2020
srlearn: A Python Library for Gradient-Boosted Statistical Relational Models Alexander L. Hayes GP 6 1 0 17 Dec 2019
Deep Learning for Predicting Dynamic Uncertain Opinions in Network Data Xujiang Zhao F. Chen Jin-Hee Cho 7 14 0 12 Oct 2019
Deep Ordinal Regression for Pledge Specificity Prediction Shivashankar Subramanian Trevor Cohn Timothy Baldwin 6 7 0 31 Aug 2019
Neural Networks for Relational Data Navdeep Kaur Gautam Kunapuli Saket Joshi Kristian Kersting Sriraam Natarajan GNN NAI 6 7 0 28 Aug 2019
T-Norms Driven Loss Functions for Machine Learning G. Marra Francesco Giannini Michelangelo Diligenti Marco Maggini Marco Gori 19 13 0 26 Jul 2019
Probabilistic Approximate Logic and its Implementation in the Logical Imagination Engine Mark-Oliver Stehr Minyoung Kim C. Talcott M. Knapp A. Vertes 13 2 0 25 Jul 2019
Neural Probabilistic Logic Programming in DeepProbLog Robin Manhaeve Sebastijan Dumancic Angelika Kimmig T. Demeester Luc de Raedt NAI 13 538 0 18 Jul 2019
On the relation between Loss Functions and T-Norms Francesco Giannini G. Marra Michelangelo Diligenti Marco Maggini Marco Gori 15 7 0 18 Jul 2019
Integrating Knowledge and Reasoning in Image Understanding Somak Aditya Yezhou Yang Chitta Baral OCL 8 40 0 24 Jun 2019
NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language Leon Weber Pasquale Minervini Jannes Munchmeyer Ulf Leser Tim Rocktaschel NAI LRM 10 94 0 14 Jun 2019
Can Graph Neural Networks Help Logic Reasoning? Yuyu Zhang Xinshi Chen Yu’an Yang Arun Ramamurthy Bo Li Yuan Qi Le Song NAI AI4CE 11 13 0 05 Jun 2019
A Boxology of Design Patterns for Hybrid Learning and Reasoning Systems F. V. Harmelen A. T. Teije 6 67 0 29 May 2019
Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems Laura von Rueden S. Mayer Katharina Beckh B. Georgiev Sven Giesselbach ... Rajkumar Ramamurthy Michal Walczak Jochen Garcke Christian Bauckhage Jannis Schuecker 17 622 0 29 Mar 2019
LYRICS: a General Interface Layer to Integrate Logic Inference and Deep Learning G. Marra Francesco Giannini Michelangelo Diligenti Marco Gori AI4CE 16 11 0 18 Mar 2019
Knowledge Refinement via Rule Selection Phokion G. Kolaitis Lucian Popa Kun Qian 14 1 0 29 Jan 2019
Learning and Reasoning for Robot Sequential Decision Making under Uncertainty S. Amiri Mohammad Shokrolah Shirazi Shiqi Zhang LRM 19 23 0 16 Jan 2019
Integrating Learning and Reasoning with Deep Logic Models G. Marra Francesco Giannini Michelangelo Diligenti Marco Gori NAI 19 56 0 14 Jan 2019
Spatial Knowledge Distillation to aid Visual Reasoning Somak Aditya Rudra Saha Yezhou Yang Chitta Baral 19 14 0 10 Dec 2018
Embedding Uncertain Knowledge Graphs X. Chen Muhao Chen Weijia Shi Yizhou Sun C. Zaniolo 14 116 0 26 Nov 2018
Training Machine Learning Models by Regularizing their Explanations A. Ross FaML 10 0 0 29 Sep 2018
Robot Representation and Reasoning with Knowledge from Reinforcement Learning Keting Lu Shiqi Zhang Peter Stone Xiaoping Chen OffRL 11 18 0 28 Sep 2018
Uncertainty Aware AI ML: Why and How Lance M. Kaplan Federico Cerutti Murat Sensoy Alun D. Preece Paul Sullivan 6 20 0 20 Sep 2018