Semantic Probabilistic Layers for Neuro-Symbolic Learning

1 June 2022

Papers citing "Semantic Probabilistic Layers for Neuro-Symbolic Learning"

48 / 48 papers shown

Title
A Probabilistic Neuro-symbolic Layer for Algebraic Constraint Satisfaction Leander Kurscheidt Paolo Morettin Roberto Sebastiani Andrea Passerini Antonio Vergari 139 1 0 25 Mar 2025
Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens Samuele Bortolotti Emanuele Marconato Paolo Morettin Andrea Passerini Stefano Teso 159 5 0 16 Feb 2025
Neuro-Symbolic AI in 2024: A Systematic Review Brandon C. Colelough William Regli NAI 135 13 0 09 Jan 2025
Understanding the Logic of Direct Preference Alignment through Logic Kyle Richardson Vivek Srikumar Ashish Sabharwal 189 2 0 23 Dec 2024
What is the Relationship between Tensor Factorizations and Circuits (and How Can We Exploit it)? Lorenzo Loconte Antonio Mari G. Gala Robert Peharz Cassio de Campos Erik Quaeghebeur G. Vessio Antonio Vergari 86 12 0 12 Sep 2024
Sum of Squares Circuits Lorenzo Loconte Stefan Mengel Antonio Vergari TPM 115 9 0 21 Aug 2024
On the Relationship Between Monotone and Squared Probabilistic Circuits Benjie Wang Guy Van den Broeck TPM 89 7 0 01 Aug 2024
Error Detection and Constraint Recovery in Hierarchical Multi-Label Classification without Prior Knowledge Joshua Shay Kricheli Khoa Vo Aniruddha Datta Spencer Ozgur Paulo Shakarian 71 3 0 21 Jul 2024
Deep Learning with Logical Constraints Eleonora Giunchiglia Mihaela C. Stoian Thomas Lukasiewicz NAI AI4CE 80 62 0 01 May 2022
Efficient and Reliable Probabilistic Interactive Learning with Structured Outputs Stefano Teso Antonio Vergari TPM 24 2 0 17 Feb 2022
Neuro-Symbolic Entropy Regularization Kareem Ahmed Eric Wang Kai-Wei Chang Guy Van den Broeck 91 23 0 25 Jan 2022
GreaseLM: Graph REASoning Enhanced Language Models for Question Answering Xikun Zhang Antoine Bosselut Michihiro Yasunaga Hongyu Ren Percy Liang Christopher D. Manning J. Leskovec ReLM AI4MH LRM 78 231 0 21 Jan 2022
Lossless Compression with Probabilistic Circuits Hoang Trung-Dung Stephan Mandt Guy Van den Broeck TPM 66 22 0 23 Nov 2021
Solving Marginal MAP Exactly by Probabilistic Circuit Transformations YooJung Choi Tal Friedman Guy Van den Broeck TPM 63 12 0 08 Nov 2021
MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural Networks Nicholas Hoernle Rafael-Michael Karampatsis Vaishak Belle Y. Gal 78 60 0 02 Nov 2021
A Review of Some Techniques for Inclusion of Domain-Knowledge into Deep Neural Networks T. Dash Sharad Chitlangia Aditya Ahuja A. Srinivasan 66 133 0 21 Jul 2021
Tractable Regularization of Probabilistic Circuits Hoang Trung-Dung Guy Van den Broeck TPM 69 33 0 04 Jun 2021
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions Mathias Niepert Pasquale Minervini Luca Franceschi 62 87 0 03 Jun 2021
Neuro-Symbolic Artificial Intelligence: Current Trends Md Kamruzzaman Sarker Lu Zhou Aaron Eberhart Pascal Hitzler NAI 56 93 0 11 May 2021
Multi-Label Classification Neural Networks with Hard Logical Constraints Eleonora Giunchiglia Thomas Lukasiewicz AILaw 82 44 0 24 Mar 2021
Probabilistic Circuits for Variational Inference in Discrete Graphical Models Andy Shih Stefano Ermon TPM 53 22 0 22 Oct 2020
Coherent Hierarchical Multi-Label Classification Networks Eleonora Giunchiglia Thomas Lukasiewicz AILaw 192 97 0 20 Oct 2020
Fast and Accurate Neural CRF Constituency Parsing Yu Zhang Houquan Zhou Zhenghua Li 63 91 0 09 Aug 2020
Efficient Generation of Structured Objects with Constrained Adversarial Networks Luca Di Liello Pierfrancesco Ardino Jacopo Gobbi Paolo Morettin Stefano Teso Andrea Passerini GAN 65 32 0 26 Jul 2020
Handling Missing Data in Decision Trees: A Probabilistic Approach Pasha Khosravi Antonio Vergari YooJung Choi Yitao Liang Guy Van den Broeck TPM 36 30 0 29 Jun 2020
Joints in Random Forests Alvaro H. C. Correia Robert Peharz Cassio de Campos TPM 50 33 0 25 Jun 2020
Counterexample-Guided Learning of Monotonic Neural Networks Aishwarya Sivaraman G. Farnadi T. Millstein Guy Van den Broeck 57 53 0 16 Jun 2020
Efficient Second-Order TreeCRF for Neural Dependency Parsing Yu Zhang Zhenghua Li Min Zhang 47 105 0 03 May 2020
Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits Robert Peharz Steven Braun Antonio Vergari Karl Stelzner Alejandro Molina Martin Trapp Guy Van den Broeck Kristian Kersting Zoubin Ghahramani TPM 61 126 0 13 Apr 2020
Injecting Numerical Reasoning Skills into Language Models Mor Geva Ankit Gupta Jonathan Berant AIMat LRM 73 226 0 09 Apr 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 547 42,591 0 03 Dec 2019
On Tractable Computation of Expected Predictions M. A. V. Torres YooJung Choi Alexander Braun A. Borrmann Guy Van den Broeck FaML TPM 34 41 0 05 Oct 2019
Neural Probabilistic Logic Programming in DeepProbLog Robin Manhaeve Sebastijan Dumancic Angelika Kimmig T. Demeester Luc de Raedt NAI 97 561 0 18 Jul 2019
Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures Xiaoting Shao Alejandro Molina Antonio Vergari Karl Stelzner Robert Peharz Thomas Liebig Kristian Kersting BDL TPM 40 35 0 21 May 2019
MolGAN: An implicit generative model for small molecular graphs Nicola De Cao Thomas Kipf GNN GAN 179 930 0 30 May 2018
Explainable Prediction of Medical Codes from Clinical Text J. Mullenbach Sarah Wiegreffe J. Duke Jimeng Sun Jacob Eisenstein FAtt 88 574 0 15 Feb 2018
A Semantic Loss Function for Deep Learning with Symbolic Knowledge Jingyi Xu Zilu Zhang Tal Friedman Yitao Liang Guy Van den Broeck 99 453 0 29 Nov 2017
Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models Ashwin K. Vijayakumar Michael Cogswell Ramprasaath R. Selvaraju Q. Sun Stefan Lee David J. Crandall Dhruv Batra 91 555 0 07 Oct 2016
Visualizing and Understanding Sum-Product Networks Antonio Vergari Nicola Di Mauro F. Esposito FAtt AAML TPM 111 45 0 29 Aug 2016
Concrete Problems in AI Safety Dario Amodei C. Olah Jacob Steinhardt Paul Christiano John Schulman Dandelion Mané 244 2,404 0 21 Jun 2016
On the Latent Variable Interpretation in Sum-Product Networks Robert Peharz Robert Gens Franz Pernkopf Pedro M. Domingos TPM 32 132 0 22 Jan 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,510 0 10 Dec 2015
Implementing Efficient All Solutions SAT Solvers Takahisa Toda Takehide Soh 38 87 0 02 Oct 2015
Neural CRF Parsing Greg Durrett Dan Klein 47 128 0 13 Jul 2015
CRF Learning with CNN Features for Image Segmentation Fayao Liu Guosheng Lin Chunhua Shen SSeg 79 207 0 28 Mar 2015
Sum-Product Networks: A New Deep Architecture Hoifung Poon Pedro M. Domingos TPM 81 761 0 14 Feb 2012
A Knowledge Compilation Map Adnan Darwiche Pierre Marquis 96 953 0 09 Jun 2011
Learning Latent Tree Graphical Models M. Choi Vincent Y. F. Tan Anima Anandkumar A. Willsky 105 264 0 14 Sep 2010