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ORCID18th NeSy 2024: Barcelona, Spain - Part II
- Tarek R. Besold
, Artur d'Avila Garcez, Ernesto Jiménez-Ruiz, Roberto Confalonieri, Pranava Madhyastha, Benedikt Wagner:
Neural-Symbolic Learning and Reasoning - 18th International Conference, NeSy 2024, Barcelona, Spain, September 9-12, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14980, Springer 2024, ISBN 978-3-031-71169-5
NeSy 2024 Papers
- Maarten C. Stol, Alessandra Mileo:
IID Relaxation by Logical Expressivity: A Research Agenda for Fitting Logics to Neurosymbolic Requirements. 3-13 - Luca Piano, Francesco Manigrasso, Alessandro Sebastian Russo, Lia Morra:
Enhancing Neuro-Symbolic Integration with Focal Loss: A Study on Logic Tensor Networks. 14-23 - Zuzanna Gawrysiak, Agata Zywot, Agnieszka Lawrynowicz:
WineGraph: A Graph Representation for Food-Wine Pairing. 24-31 - Benjamin Duppe:
Logic Supervised Learning for Time Series - Continual Learning for Appliance Detection. 32-40 - Brandon Dave, Antrea Christou, Cogan Shimizu:
Towards Understanding the Impact of Graph Structure on Knowledge Graph Embeddings. 41-50 - Andrew Eells, Brandon Dave, Pascal Hitzler, Cogan Shimizu:
Commonsense Ontology Micropatterns. 51-59 - Hua Wei, Paulo Shakarian, Christian Lebiere, Bruce A. Draper, Nikhil Krishnaswamy, Sergei Nirenburg:
Metacognitive AI: Framework and the Case for a Neurosymbolic Approach. 60-67 - Paulo Vitor de Campos Souza, Gianluca Apriceno, Mauro Dragoni:
Enhancing Logical Tensor Networks: Integrating Uninorm-Based Fuzzy Operators for Complex Reasoning. 68-79 - Lucile Dierckx, Alexandre Dubray, Siegfried Nijssen:
Parameter Learning Using Approximate Model Counting. 80-88 - Yasir Ghunaim, Robert Hoehndorf:
Large-Scale Knowledge Integration for Enhanced Molecular Property Prediction. 89-97 - Kislay Raj, Alessandra Mileo:
Towards Understanding Graph Neural Networks: Functional-Semantic Activation Mapping. 98-106
NeSy 2024 XAI Special Track
- Abhilekha Dalal, Rushrukh Rayan, Adrita Barua, Eugene Y. Vasserman, Md. Kamruzzaman Sarker, Pascal Hitzler:
On the Value of Labeled Data and Symbolic Methods for Hidden Neuron Activation Analysis. 109-131 - Adrita Barua, Cara Leigh Widmer, Pascal Hitzler:
Concept Induction Using LLMs: A User Experiment for Assessment. 132-148 - Abhilekha Dalal, Rushrukh Rayan, Pascal Hitzler:
Error-Margin Analysis for Hidden Neuron Activation Labels. 149-164 - Diego Fraile-Parra, Vicent Costa, Pilar Dellunde:
LENs for Analyzing the Quality of Life of People with Intellectual Disability. 165-174 - Irene Ferfoglia, Gaia Saveri, Laura Nenzi, Luca Bortolussi:
ECATS: Explainable-by-Design Concept-Based Anomaly Detection for Time Series. 175-191 - Antoine Domingues, Nitisha Jain, Albert Meroño-Peñuela, Elena Simperl:
Bringing Back Semantics to Knowledge Graph Embeddings: An Interpretability Approach. 192-203
NeSy 2024 GenAI Special Track
- Daniel Enström, Viktor Kjellberg, Moa Johansson:
Reasoning in Transformers - Mitigating Spurious Correlations and Reasoning Shortcuts. 207-221 - Sudhir Agarwal, Anu Sreepathy:
TIC: Translate-Infer-Compile for Accurate "Text to Plan" Using LLMs and Logical Representations. 222-244 - Weizhi Tang, Vaishak Belle:
ToM-LM: Delegating Theory of Mind Reasoning to External Symbolic Executors in Large Language Models. 245-257 - Dagmara Panas, Sohan Seth, Vaishak Belle:
Can Large Language Models Put 2 and 2 Together? Probing for Entailed Arithmetical Relationships. 258-276 - Vasile Ionut-Remus Iga, Gheorghe Cosmin Silaghi:
Assessing LLMs Suitability for Knowledge Graph Completion. 277-290 - Priyesh Vakharia, Abigail Kufeldt, Max Meyers, Ian Lane, Leilani H. Gilpin:
ProSLM: A Prolog Synergized Language Model for explainable Domain Specific Knowledge Based Question Answering. 291-304 - Tanel Tammet, Priit Järv, Martin Verrev, Dirk Draheim:
Experiments with LLMs for Converting Language to Logic. 305-314 - Hossein Rajaby Faghihi, Aliakbar Nafar, Andrzej Uszok, Hamid R. Karimian, Parisa Kordjamshidi:
Prompt2DeModel: Declarative Neuro-Symbolic Modeling with Natural Language. 315-327 - Nicholas Rossetti, Massimiliano Tummolo, Alfonso Emilio Gerevini, Matteo Olivato, Luca Putelli, Ivan Serina:
Enhancing GPT-Based Planning Policies by Model-Based Plan Validation. 328-337
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