Logic Tensor Networks for Semantic Image Interpretation

24 May 2017

Papers citing "Logic Tensor Networks for Semantic Image Interpretation"

32 / 32 papers shown

Title
Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens Samuele Bortolotti Emanuele Marconato Paolo Morettin Andrea Passerini Stefano Teso 61 2 0 16 Feb 2025
Understanding the Logic of Direct Preference Alignment through Logic Kyle Richardson Vivek Srikumar Ashish Sabharwal 85 2 0 23 Dec 2024
Using Domain Knowledge to Guide Dialog Structure Induction via Neural Probabilistic Soft Logic Connor Pryor Quan Yuan J. Liu Mehran Kazemi Deepak Ramachandran Tania Bedrax-Weiss Lise Getoor 29 1 0 26 Mar 2024
Image Translation as Diffusion Visual Programmers Cheng Han James Liang Qifan Wang Majid Rabbani S. Dianat Raghuveer M. Rao Ying Nian Wu Dongfang Liu 29 8 0 18 Jan 2024
A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints Kareem Ahmed Kai-Wei Chang Guy Van den Broeck 28 10 0 06 Dec 2023
ProtoArgNet: Interpretable Image Classification with Super-Prototypes and Argumentation [Technical Report] Hamed Ayoobi Nico Potyka Francesca Toni 36 2 0 26 Nov 2023
Continual Reasoning: Non-Monotonic Reasoning in Neurosymbolic AI using Continual Learning Sofoklis Kyriakopoulos Artur Garcez NAI LRM 21 0 0 03 May 2023
Interval Logic Tensor Networks Samy Badreddine Gianluca Apriceno Andrea Passerini Luciano Serafini NAI 17 0 0 31 Mar 2023
Knowledge-augmented Deep Learning and Its Applications: A Survey Zijun Cui Tian Gao Kartik Talamadupula Qiang Ji 27 18 0 30 Nov 2022
ROAD-R: The Autonomous Driving Dataset with Logical Requirements Eleonora Giunchiglia Mihaela C. Stoian Salman Khan Fabio Cuzzolin Thomas Lukasiewicz AI4TS 44 31 0 04 Oct 2022
Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classification Adrien Bennetot Gianni Franchi Javier Del Ser Raja Chatila Natalia Díaz Rodríguez AAML 32 29 0 26 Sep 2022
Scalable Regularization of Scene Graph Generation Models using Symbolic Theories Davide Buffelli Efthymia Tsamoura 17 2 0 06 Sep 2022
Neuro-Symbolic Learning: Principles and Applications in Ophthalmology Muhammad Hassan Haifei Guan Aikaterini Melliou Yuqi Wang Qianhui Sun ... Qi Huang Jiefu Tan Qinwang Xing Peiwu Qin Dongmei Yu NAI 34 14 0 31 Jul 2022
PROTOtypical Logic Tensor Networks (PROTO-LTN) for Zero Shot Learning Simone Martone Francesco Manigrasso Lamberti Fabrizio Lia Morra 29 3 0 26 Jun 2022
NeuPSL: Neural Probabilistic Soft Logic Connor Pryor Charles Dickens Eriq Augustine Alon Albalak William Wang Lise Getoor NAI 10 33 0 27 May 2022
An Algebraic Approach to Learning and Grounding Johanna Björklund Adam Dahlgren Lindström F. Drewes 22 0 0 06 Apr 2022
Neuro-Symbolic Hierarchical Rule Induction Claire Glanois Xuening Feng Zhaohui Jiang Paul Weng Matthieu Zimmer Dong Li Wulong Liu NAI 33 22 0 26 Dec 2021
Faster-LTN: a neuro-symbolic, end-to-end object detection architecture Francesco Manigrasso Filomeno Davide Miro Lia Morra Fabrizio Lamberti ObjD 18 14 0 05 Jul 2021
DeepStochLog: Neural Stochastic Logic Programming Thomas Winters G. Marra Robin Manhaeve Luc de Raedt BDL NAI 21 61 0 23 Jun 2021
Relational Reasoning Networks G. Marra Michelangelo Diligenti Francesco Giannini NAI 29 4 0 01 Jun 2021
A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and Concepts Gesina Schwalbe Bettina Finzel XAI 26 184 0 15 May 2021
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case Natalia Díaz Rodríguez Alberto Lamas Jules Sanchez Gianni Franchi Ivan Donadello S. Tabik David Filliat P. Cruz Rosana Montes Francisco Herrera 49 77 0 24 Apr 2021
Multi-Label Classification Neural Networks with Hard Logical Constraints Eleonora Giunchiglia Thomas Lukasiewicz AILaw 23 42 0 24 Mar 2021
Neurosymbolic AI: The 3rd Wave Artur Garcez Luís C. Lamb NAI 65 292 0 10 Dec 2020
Modeling Content and Context with Deep Relational Learning Maria Leonor Pacheco Dan Goldwasser NAI 38 34 0 20 Oct 2020
Learning Reasoning Strategies in End-to-End Differentiable Proving Pasquale Minervini Sebastian Riedel Pontus Stenetorp Edward Grefenstette Tim Rocktaschel LRM 45 96 0 13 Jul 2020
Analyzing Differentiable Fuzzy Implications Emile van Krieken Erman Acar F. V. Harmelen AI4CE 18 29 0 04 Jun 2020
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot S. Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 37 6,110 0 22 Oct 2019
Neural Probabilistic Logic Programming in DeepProbLog Robin Manhaeve Sebastijan Dumancic Angelika Kimmig T. Demeester Luc de Raedt NAI 19 541 0 18 Jul 2019
Integrating Learning and Reasoning with Deep Logic Models G. Marra Francesco Giannini Michelangelo Diligenti Marco Gori NAI 24 56 0 14 Jan 2019
Ontology Reasoning with Deep Neural Networks Patrick Hohenecker Thomas Lukasiewicz NAI 17 81 0 24 Aug 2018
A Semantic Loss Function for Deep Learning with Symbolic Knowledge Jingyi Xu Zilu Zhang Tal Friedman Yitao Liang Guy Van den Broeck 33 445 0 29 Nov 2017