Semantic Probabilistic Layers for Neuro-Symbolic Learning

1 June 2022

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

20 / 20 papers shown

Title
Scaling Probabilistic Circuits via Monarch Matrices Honghua Zhang Meihua Dang Benjie Wang Stefano Ermon Nanyun Peng Guy Van den Broeck TPM MoE 26 2 0 14 Jun 2025
TRIDENT: Temporally Restricted Inference via DFA-Enhanced Neural Traversal Vincenzo Collura Karim Tit Laura Bussi Eleonora Giunchiglia Maxime Cordy 49 0 0 11 Jun 2025
Neuro-Symbolic Query Compiler Yuyao Zhang Zhicheng Dou Xiaoxi Li Jiajie Jin Yongkang Wu Zhonghua Li Qi Ye Ji-Rong Wen NAI 90 0 0 17 May 2025
Semantic Probabilistic Control of Language Models Kareem Ahmed Catarina G Belém Padhraic Smyth Sameer Singh 113 1 0 04 May 2025
A Probabilistic Neuro-symbolic Layer for Algebraic Constraint Satisfaction Leander Kurscheidt Paolo Morettin Roberto Sebastiani Andrea Passerini Antonio Vergari 159 1 0 25 Mar 2025
Beyond the convexity assumption: Realistic tabular data generation under quantifier-free real linear constraints Mihaela C. Stoian Eleonora Giunchiglia 122 3 0 25 Feb 2025
Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens Samuele Bortolotti Emanuele Marconato Paolo Morettin Andrea Passerini Stefano Teso 167 5 0 16 Feb 2025
Neuro-Symbolic AI in 2024: A Systematic Review Brandon C. Colelough William Regli NAI 163 13 0 09 Jan 2025
Understanding the Logic of Direct Preference Alignment through Logic Kyle Richardson Vivek Srikumar Ashish Sabharwal 222 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 104 12 0 12 Sep 2024
Sum of Squares Circuits Lorenzo Loconte Stefan Mengel Antonio Vergari TPM 158 9 0 21 Aug 2024
On the Relationship Between Monotone and Squared Probabilistic Circuits Benjie Wang Guy Van den Broeck TPM 121 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 85 3 0 21 Jul 2024
A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints Kareem Ahmed Kai-Wei Chang Guy Van den Broeck 141 12 0 06 Dec 2023
A Unified Approach to Count-Based Weakly-Supervised Learning Vinay Shukla Zhe Zeng Kareem Ahmed Guy Van den Broeck SSL 100 6 0 22 Nov 2023
Collapsed Inference for Bayesian Deep Learning Zhe Zeng Guy Van den Broeck FedML BDL UQCV 126 9 0 16 Jun 2023
Machine Learning with Requirements: a Manifesto Eleonora Giunchiglia F. Imrie M. Schaar Thomas Lukasiewicz AI4TS OffRL VLM 71 7 0 07 Apr 2023
Bayesian Structure Scores for Probabilistic Circuits Yang Yang G. Gala Robert Peharz TPM 74 7 0 23 Feb 2023
A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference Emile van Krieken Thiviyan Thanapalasingam Jakub M. Tomczak F. V. Harmelen A. T. Teije 95 40 0 23 Dec 2022
SIMPLE: A Gradient Estimator for $k$ -Subset Sampling Kareem Ahmed Zhe Zeng Mathias Niepert Guy Van den Broeck BDL 136 27 0 04 Oct 2022