Tutorials | IJCNN 2025

- Diffusion Models and Flows
  Organizer(s): Chieh-Hsin Lai, Bac Nguyen Cong, Yuki Mitsufuji, Stefano Ermon
  Time: 09:30 – 13:00
  Room: Leonardo
- Information Bottleneck Methods in Deep Learning
  Organizer(s): Jose C. Principe, Badong Chen, Shujian Yu
  Time: 09:30 – 13:00
  Room: Loyola
- Evolution of Neural Networks
  Organizer(s): Risto Miikkulainen
  Time: 09:30 – 11:00
  Room: Evolution of Neural Networks
- Understanding Memorization and Generalization in Transformer-based Large Language Models and beyond
  Organizer(s): Fabio Massimo Zanzotto, Elena Sofia Ruzzetti
  Time: 09:30 – 13:00
  Room: Caravaggio
- Towards Autonomous Machine Learning: Evolution of AutoML, Roles of Humans, and Related Topics
  Organizer(s): Bogdan Gabrys, Thanh Tung Khuat
  Time: 09:30 – 11:00
  Room: Alfieri
- Sustainable Deep Learning for Time-series: Reservoir Computing
  Organizer(s): Andrea Ceni, Peter Ford Dominey, Claudio Gallicchio, Xavier Hinaut, Gianluca Milano
  Time: 09:30 – 13:00
  Room: Belli
- Recently Advancement of Introducing Neural Diversity into Deep Learning
  Organizer(s): Feng-Lei Fan, Fei Wang, Jing-Xiao Liao, Xiaoge Zhang
  Time: 09:30 – 11:00
  Room: Marinetti
- AI-enabled mechanisms for 5G network management
  Organizer(s): Petia Georgieva
  Time: 09:30 – 11:00
  Room: Trilussa
- Distributed Learning: Challenges, Security, and Regulatory Compliance
  Organizer(s): Dipankar Dasgupta, Arunava Roy
  Time: 11:30 – 13:00
  Room: Giotto
- Emerging Trends in Automated Design of Neural Network Architectures
  Organizer(s): Nelishia Pillay, Ganesh Kumar Venayagamoorthy
  Time: 11:30 – 13:0
  Room: Alfieri
- Continual Learning for Anomaly Detection
  Organizer(s): Roberto Corizzo, Kamil Faber
  Time: 11:30 – 13:00
  Room: Marinetti
- Explainable AI (XAI) for Computer Vision – A Review of Existing Methods and a New Method to Decode CNN models
  Organizer(s): Asim Roy
  Time: 11:30 – 13:00
  Room: Trilussa
- Practical Guide to Training Flow-Based Generative Models
  Organizer(s): Scott H. Hawley
  Time: 14:00 – 15:30
  Room: Gregoriana
- Advances in Multimodal Models: Continual Learning and Trustworthiness
  Organizer(s): Dianzhi Yu, Xinni Zhang, Guanzhong Chen, Zhuo Wang, Yukun Zhang, Zenglin Xu, Irwin King
  Time: 14:00 – 17:30
  Room: Loyola
- Deep Learning for Graphs: an information propagation perspective
  Organizer(s): Davide Bacciu
  Time: 14:00 – 17:30
  Room: F007
- Large Language Models for AI Techniques Design: Exploring Challenges, Tools and Future Opportunities
  Organizer(s): Michal Pluhacek, Roman Senkerik, Niki van Stein
  Time: 14:00 – 15:30
  Room: C012
- Introduction to Quantum Machine Learning and Quantum Architecture Search
  Organizer(s): Jun Qi, Ying-Jer Kao, Samuel Yen-Chi Chen
  Time: 14:00 – 15:30
  Room: Trilussa
- Collaborative Learning and Optimization
  Organizer(s): Kai Qin, Nelishia Pillay
  Time: 14:00 – 15:30
  Room: Alfieri
- All You Need to Know About Image Quality and Image Similarity Metrics
  Organizer(s): Riza Velioglu, Robin Chan, Petra Bevandić, Barbara Hammer
  Time: 14:00 – 17:30
  Room: Belli
- Hands-on generative AI for image generation on Microcontrollers with Neural Processing Unit
  Organizer(s): Alberto Ancilotto, Elisabetta Farella, Danilo Pau
  Time: 14:00 – 15:30
  Room: Marinetti
- Introduction to Evolutionary Multi-Objective Optimization
  Organizer(s): Hisao Ishibuchi, Lie Meng Pang
  Time: 16:00 – 17:30
  Room: Alfieri
- Machine Learning Evaluation: Implementing Responsible and Reliable AI
  Organizer(s): Zois Boukouvalas, Nathalie Japkowicz
  Time: 16:00 – 17:30
  Room: Marinetti
- Evolutionary Quantum Neural Networks
  Organizer(s): Giovanni Acampora, Autilia Vitiello, Angela Chiatto
  Time: 16:00 – 17:30
  Room: Trilussa