International Workshop on Trustworthiness and Reliability in Neurosymbolic AI will be held in the International Joint Conference in Neural Networks 2025 (IJCNN25)

Summary

Neurosymbolic AI is a new growing trend that has been able to merge the recent advances in AI through deep learning with logic and rule-based methods. The application of neurosymbolic AI seems to be spreading across many contexts, from image classification to Visual Question Answering. It has an expressive and semantic power that is not usually provided by classical deep learning. In addition, it has great potential in explainability, due to the logic-based methodologies that are a strong component of this context. These capabilities are only a starting point in XAI, they need to be explored in detail to facilitate the interpretability of whole models, in any part of them and not only in terms of the natural relationships that can be discovered. This workshop will focus on two main aspects:

1. Gives the possibility to extend the exploration of the explainability in multiple contexts, developing and adapting techniques that can be useful to relate classical deep learning approaches to their symbolic extensions. 

2. Opens to the possibility to extend the understanding of neurosymbolic models to a deep and not always analyzed aspect in AI, namely the Resilience of a methodology.
   
   

These two concepts lead to the trustworthiness and reliability of the new trend of Neurosymbolic AI, increasing the confidence of end-users in choosing and believing in these methodologies for computer-aided applications. 

Topics

Topics of interest include, but are not limited to:

• Soft Computing methodologies

• Symbolic and Neurosymbolic AI

• Logic and Rule-based methods

• AI methods for explainability, interpretrability and reliability 

• Resilient AI models

• From wide to task-specific methodologies 

• Machine Learning and Deep Learning based AI methodologies

• Data-driven decision-making

• Multimodal Learning strategies

• Scalability and optimization of intelligent systems

• Generative AI and applications

Program

The workshop will be held on July 5th, from 2:00 PM to 5:00 PM. It will include a standard paper presentation and a poster session.

Full program:

2:00PM - Keynote Invited Speaker: Riccardo Rizzo

2:40PM - Challenge results: Explainable AI for Educational Question-Answering

First Session:  Trustworthiness and Explanability for Reasoning (Chair Angelo Casolaro)
3:00PM - Speaking in Words, Thinking in Logic: A Dual-Process Framework in QA Systems (Remote)
3.20PM - Topology-Driven Explainable GNNs for Trojan Detection in Deep Learning

3:40PM - Break  20'

Second Session:  Explainability in Network Optimization (Chair Massimiliano Giordano Orsini)
4:00PM - Parallel Optimization of Quantized CNNs for Efficient GPU Inference
4:20PM -  Stability-aware Neuromorphic Computation

4:40PM - Announcements and  closing

Keynote Speaker

Riccardo Rizzo - ICAR CNR - Personal Page

Keynote

Title. Graph Neural Networks and Explainability
Abstract. Graph neural networks are algorithms capable of processing graph data, and, like many trained neural networks, are black boxes, making them difficult to debug or modify. Moreover, it is difficult for the researcher or the user to extract new knowledge from their predictions. This problem is more present in Graph Neural Networks due to the nature of their input, making the study of methods and algorithms that explain the processing mechanisms of graph neural networks an active field of research.

One of the most common explainability mechanisms involves observing the network's inputs to build a subgraph containing the characteristics useful for network prediction. But can we use some graph properties to speed up this process?

Biography

Riccardo Rizzo is a senior researcher at the Institute for High Performance Computing and Networking of the CNR. His research focuses on machine learning and applications to biomedical data analysis and genomic sequence analysis.

He was a visiting Professor at the University of Pittsburgh in 2001.

He has been a member of the program committees of many national and international conferences and is a member of the editorial board of the international journals BMC Bioinformatics, Frontiers in Genomics and Frontiers in Neuroinformatics. He is the author of more than 150 scientific articles, 33 of which in international journals such as "IEEE Transactions on Neural Networks", "Neural Computing and Applications", “Neural Processing Letters", “BMC Bioinformatics". He has participated in numerous national projects.

Instruction for Authors

Submissions must follow the IJCNN2025 rules (https://2025.ijcnn.org/authors/initial-author-instructions). Authors are invited to submit:

• Full papers, up to 8 pages

• Short papers, up to 4 pages

Short papers may also be presented in the poster session. Full and short papers will be published in the conference proceedings.

Submission must be made on CMT using the following link https://cmt3.research.microsoft.com/IJCNN2025/Track/3/Submission/Create

Important dates

Paper Submission Deadline – March 27, 2025 - deadline extension

Paper Acceptance Notification – April 15, 2025

Organizing Commitee

General Chairs

• Prof. Angelo Ciaramella - University of Naples Parthenope, Italy

• Prof. Le Hoang Son - Vietnam National University, Hanoi, Vietnam

• Prof. Emanuel Di Nardo - University of Naples Parthenope, Italy

Program Chairs

• Prof. Alessio Ferone - University of Naples Parthenope, Italy

• Prof. Antonio Maratea - University of Naples Parthenope, Italy

• Prof. Ihsan Ullah - Insight SFI Research Center for Data Analytics, University of Galway, Galway, Ireland

Technical Program Chairs

• Prof. Paola Barra - University of Naples Parthenope, Italy

• Dr. Lorenzo Di Rocco - Sapienza University of Rome, Italy

Challenge Chairs

• Prof. Quan Thanh Tho - Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology (HCMUT), Vietnam

• Prof. Nguyen Duc Anh - Department of IT and Economics, University of South Eastern Norway, Norway

• Prof. Fabien Baldacci - Université de Bordeaux, France

• Prof. Bui Hoai Thang - Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology (HCMUT), Vietnam

• Dr. Tran Thanh Tung - School of Computer Science and Engineering, Ho Chi Minh City International University, Vietnam

Challenge Technical Support Commitee

• Mr. Nguyen Song Thien Long - Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology (HCMUT), Vietnam

• Mr. Vo Hoang Nhat Khang - Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology (HCMUT), Vietnam

• Ms. Nguyen Hoang Anh Thu - Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology (HCMUT), Vietnam

• Mr. Nguyen Quang Duc - Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology (HCMUT), Vietnam

• Mr. Bui Cong Tuan - Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology (HCMUT), Vietnam

Program Commitee

• Prof. Florentin Smarandache - Emeritus Professor, University of New Mexico, 705 Gurley Ave., Gallup, NM 87301, USA

• Dr. Said Broumi - Laboratory of Information Processing, Faculty of Science Ben M'Sik, University Hassan II, Casablanca, Morocco

• Prof.Habil.Dr.Eng. Valentina Emilia Balas - "Aurel Vlaicu” University of Arad, 77 B-dul Revolutiei , 310130 Arad, Romania

• Dr. Rohit Sharma - ABES Engineering College, Ghaziabad 201009, India

• Prof. Tran Van Lang - Vietnam Academy of Science and Technology, Vietnam

• Prof. Ganeshsree Selvachandran - School of Business, Monash University Malaysia

• Prof. Raghvendra Kumar - Department of CSE, GIET University, Gunupur, India

• Prof. Vassilis C. Gerogiannis - Department of Digital Systems (Head of the Department), University of Thessaly, GR 41500, Larissa, Greece

• Prof. Hiep Xuan Huynh - Can Tho University, Can Tho, Vietnam

• Prof. Dr. Horacio González-Vélez - Professor of Computer Systems and Founding Head of The Cloud Competency Centre, National College of Ireland

• Dr. Nicola Bena - University of Milan, Italy

• Prof. David Taniar - Faculty of Information Technology, Monash University, Australia  

• Mr. Andrea Capone - University of Naples Federico II, Italy