Title
Combining Abstract Argumentation and Machine Learning for Efficiently Analyzing Low-Level Process Event Streams Bettina Fazzinga Sergio Flesca F. Furfaro Luigi Pontieri Francesco Scala 31 0 0 09 May 2025
A Neuro-Symbolic Framework for Sequence Classification with Relational and Temporal Knowledge Luca Salvatore Lorello Marco Lippi S. Melacci 47 0 0 08 May 2025
Towards Responsible and Trustworthy Educational Data Mining: Comparing Symbolic, Sub-Symbolic, and Neural-Symbolic AI Methods Danial Hooshyar Eve Kikas Yeongwook Yang Gustav Šír Raija Hamalainen T. Karkkainen Roger Azevedo 64 1 0 01 Apr 2025
A Probabilistic Neuro-symbolic Layer for Algebraic Constraint Satisfaction Leander Kurscheidt Paolo Morettin Roberto Sebastiani Andrea Passerini Antonio Vergari 62 0 0 25 Mar 2025
Combinatorial Optimization via LLM-driven Iterated Fine-tuning Pranjal Awasthi Sreenivas Gollapudi Ravi Kumar Kamesh Munagala 70 0 0 10 Mar 2025
Advanced Weakly-Supervised Formula Exploration for Neuro-Symbolic Mathematical Reasoning Yuxuan Wu Hideki Nakayama NAI 58 1 0 02 Feb 2025
Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review Giovanni Ciatto Federico Sabbatini Andrea Agiollo Matteo Magnini Andrea Omicini 60 14 0 28 Jan 2025
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy Chen Wang Kaiyi Ji Junyi Geng Zhongqiang Ren Taimeng Fu ... Yi Du Qihang Li Yue Yang Xiao Lin Zhipeng Zhao SSL 97 9 0 28 Jan 2025
stl2vec: Semantic and Interpretable Vector Representation of Temporal Logic Gaia Saveri L. Nenzi Luca Bortolussi Jan Křetínský 46 0 0 23 May 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 31 1 0 26 Mar 2024
Simple and Effective Transfer Learning for Neuro-Symbolic Integration Alessandro Daniele Tommaso Campari Sagar Malhotra Luciano Serafini 29 1 0 21 Feb 2024
Operational Collective Intelligence of Humans and Machines Nikolos Gurney Fred Morstatter David Pynadath Adam Russell Gleb Satyukov AI4CE 30 0 0 16 Feb 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 34 8 0 18 Jan 2024
Convex and Bilevel Optimization for Neuro-Symbolic Inference and Learning Charles Dickens Changyu Gao Connor Pryor Stephen J. Wright Lise Getoor 44 3 0 17 Jan 2024
(Ir)rationality in AI: State of the Art, Research Challenges and Open Questions Olivia Macmillan-Scott Mirco Musolesi 42 1 0 28 Nov 2023
A Neural-Symbolic Approach Towards Identifying Grammatically Correct Sentences Nicos Isaak NAI 32 1 0 16 Jul 2023
Injecting Logical Constraints into Neural Networks via Straight-Through Estimators Zhun Yang Joohyung Lee Chi-youn Park 27 19 0 10 Jul 2023
A Knowledge Engineering Primer Agnieszka Lawrynowicz 27 0 0 26 May 2023
Continual Reasoning: Non-Monotonic Reasoning in Neurosymbolic AI using Continual Learning Sofoklis Kyriakopoulos Artur Garcez NAI LRM 26 0 0 03 May 2023
A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making Carlos Núnez-Molina Pablo Mesejo Juan Fernández-Olivares 36 3 0 20 Apr 2023
Neural Probabilistic Logic Programming in Discrete-Continuous Domains Lennert De Smet Pedro Zuidberg Dos Martires Robin Manhaeve G. Marra Angelika Kimmig Luc de Raedt NAI 21 20 0 08 Mar 2023
Knowledge-augmented Deep Learning and Its Applications: A Survey Zijun Cui Tian Gao Kartik Talamadupula Qiang Ji 46 18 0 30 Nov 2022
Deep Symbolic Learning: Discovering Symbols and Rules from Perceptions Alessandro Daniele Tommaso Campari Sagar Malhotra Luciano Serafini NAI 13 19 0 24 Aug 2022
PROTOtypical Logic Tensor Networks (PROTO-LTN) for Zero Shot Learning Simone Martone Francesco Manigrasso Lamberti Fabrizio Lia Morra 34 3 0 26 Jun 2022
Towards a Solution to Bongard Problems: A Causal Approach Salahedine Youssef Matej Zečević Devendra Singh Dhami Kristian Kersting 35 5 0 14 Jun 2022
NeuPSL: Neural Probabilistic Soft Logic Connor Pryor Charles Dickens Eriq Augustine Alon Albalak William Wang Lise Getoor NAI 21 33 0 27 May 2022
Is Neuro-Symbolic AI Meeting its Promise in Natural Language Processing? A Structured Review Kyle Hamilton Aparna Nayak Bojan Bozic Luca Longo NAI 31 57 0 24 Feb 2022
VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming Eleonora Misino G. Marra Emanuele Sansone 29 21 0 07 Feb 2022
Tractable Boolean and Arithmetic Circuits Adnan Darwiche TPM 41 12 0 07 Feb 2022
Generative Flow Networks for Discrete Probabilistic Modeling Dinghuai Zhang Nikolay Malkin Zichen Liu Alexandra Volokhova Aaron Courville Yoshua Bengio 27 103 0 03 Feb 2022
Deep Learning Methods for Abstract Visual Reasoning: A Survey on Raven's Progressive Matrices Mikolaj Malkiñski Jacek Mańdziuk 127 42 0 28 Jan 2022
Reasoning Like Program Executors Xinyu Pi Qian Liu Bei Chen Morteza Ziyadi Zeqi Lin Qiang Fu Yan Gao Jian-Guang Lou Weizhu Chen ReLM LRM 253 52 0 27 Jan 2022
Discrete and continuous representations and processing in deep learning: Looking forward Ruben Cartuyvels Graham Spinks Marie-Francine Moens OCL 35 20 0 04 Jan 2022
Automated Fact-Checking: A Survey Xia Zeng Amani S. Abumansour A. Zubiaga HILM 191 95 0 23 Sep 2021
From LSAT: The Progress and Challenges of Complex Reasoning Siyuan Wang Zhongkun Liu Wanjun Zhong Ming Zhou Zhongyu Wei Zhumin Chen Nan Duan ELM 33 44 0 02 Aug 2021
A Review of Some Techniques for Inclusion of Domain-Knowledge into Deep Neural Networks T. Dash Sharad Chitlangia Aditya Ahuja A. Srinivasan 40 127 0 21 Jul 2021
Faster-LTN: a neuro-symbolic, end-to-end object detection architecture Francesco Manigrasso Filomeno Davide Miro Lia Morra Fabrizio Lamberti ObjD 31 14 0 05 Jul 2021
Neuro-Symbolic Artificial Intelligence: Current Trends Md Kamruzzaman Sarker Lu Zhou Aaron Eberhart Pascal Hitzler NAI 27 87 0 11 May 2021
Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text Siyuan Wang Wanjun Zhong Duyu Tang Zhongyu Wei Zhihao Fan Daxin Jiang Ming Zhou Nan Duan NAI 31 70 0 08 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 Siham Tabik David Filliat P. Cruz Rosana Montes Francisco Herrera 54 77 0 24 Apr 2021
Incorporating Domain Knowledge into Deep Neural Networks T. Dash Sharad Chitlangia Aditya Ahuja A. Srinivasan AI4CE 24 9 0 27 Feb 2021
The DigitalTwin from an Artificial Intelligence Perspective Oliver Niggemann Alexander Diedrich C. Kuehnert Erik Pfannstiel Joshua Schraven 17 2 0 27 Oct 2020
Incorporating Symbolic Domain Knowledge into Graph Neural Networks T. Dash A. Srinivasan L. Vig NAI 33 25 0 23 Oct 2020
Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning Weili Nie Zhiding Yu Lei Mao Ankit B. Patel Yuke Zhu Anima Anandkumar VLM LRM 26 75 0 02 Oct 2020
VATLD: A Visual Analytics System to Assess, Understand and Improve Traffic Light Detection Liang Gou Lincan Zou Nanxiang Li M. Hofmann A. Shekar A. Wendt Liu Ren 36 60 0 27 Sep 2020
Facts as Experts: Adaptable and Interpretable Neural Memory over Symbolic Knowledge Pat Verga Haitian Sun Livio Baldini Soares William W. Cohen KELM 35 50 0 02 Jul 2020
Conversational Neuro-Symbolic Commonsense Reasoning Forough Arabshahi Jennifer Lee Mikayla Gawarecki Kathryn Mazaitis A. Azaria Tom Michael Mitchell LRM 27 48 0 17 Jun 2020
Analyzing Differentiable Fuzzy Implications Emile van Krieken Erman Acar F. V. Harmelen AI4CE 26 29 0 04 Jun 2020
Just Add Functions: A Neural-Symbolic Language Model David Demeter Doug Downey 13 11 0 11 Dec 2019
Completion Reasoning Emulation for the Description Logic EL+ Aaron Eberhart Monireh Ebrahimi Lu Zhou C. Shimizu Pascal Hitzler NAI 19 12 0 11 Dec 2019