Keynote speakers

Model Based Deep Learning: Applications to Imaging and Communications

The Journey of Humans and AI: Insights from AI in Robotics and AI in Finance

[intermediate/advanced] From Deep Learning and Transformers to AI Risks and Safety

[intermediate] Digital Twins and Generative AI for Personalised Medicine

[intermediate/advanced] Graph Transformers, Graph Generative Models and Large Language Models

[introductory] Machina Sapiens — Towards More General Forms of AI

[introductory] From Prototype to Production: Evaluation Strategies for Agentic Applications

[intermediate/advanced] Explainability in Machine Learning

[introductory/intermediate] Machine Learning at the Frontier of Astrophysics: Simulating the Universe

[intermediate/advanced] Real-Time Artificial Intelligence for Science and Engineering

[introductory/advanced] Efficient LLM Serving: Algorithms and Systems

[introductory/intermediate] Transformers for Image and Video Generation: Fundamentals, Design, and Innovations

[introductory/intermediate] Multimodal AI for Healthcare

[intermediate/advanced] Theory on Training Dynamics of Transformers

[intermediate/advanced] Harnessing Prior for Content Enhancement and Creation

[introductory/intermediate] Transforming Healthcare and Drug Development through Multimodal AI with LLMs and Generative AI Technologies

[intermediate] Test-Time Adaptation for Updating Models on New and Different Data

[intermediate] Low Rank Strikes Back in the Era of Large Language Models

[advanced] Large Language Models for User Behavior Modeling: Cross-Modal Interpretation, Preference Optimization, and Agentic Simulation

[intermediate/advanced] Multimodal Foundation Models for Graph-Structured Data: Framework and Scientific Applications