The 39th Annual AAAI Conference on Artificial Intelligence
February 25 – March 4, 2025 | Philadelphia, Pennsylvania, USA
AAAI-25 Tutorial and Lab Forum
Sponsored by the Association for the Advancement of Artificial Intelligence
February 25-26, 2025 | Philadelphia Convention Center | Philadelphia, PA USA
AAAI is pleased to present the AAAI-25 Tutorial and Lab Forum to be held Tuesday and Wednesday, February 25-26, 2025. The Tutorial and Lab Forum includes 43 Tutorials and 5 Labs covering a wide range of topics in artificial intelligence. Tutorials and Labs are Half Day (4 hours) or Quarter Day (1 Hour 45 Minutes). Registration for the program is open to all interested individuals and required to participate. Tutorial and Lab registration will be available as an add-on for AAAI-25 technical registrants as well.
What Is the Tutorial Forum?
The Tutorial Forum provides an opportunity for researchers and practitioners to spend time each year freely exploring exciting advances in disciplines outside their normal focus. We believe this type of forum is essential for the cross fertilization, cohesiveness, and vitality of the AI field. We all have a lot to learn from each other; the Tutorial Forum promotes the continuing education of each member of AAAI.
What is the Lab Forum?
In its beginning the AI field focused on proposing theories of computational intelligence, on designing formal models and algorithms, and on characterizing their behavior through analysis and experimentation. Today AI offers a powerful set of modeling tools and decision systems that are having a pervasive impact on a diverse set of real world applications. The purpose of the Lab Forum is to train members of AAAI in using these tools. Often, but not always, tutorials focus on formalisms and algorithms, while labs can focus on teaching methodologies for effectively applying AI tools and modeling frameworks. Labs are often most effectively taught using real world case studies. Also note that tutorials and labs are not exclusive, having tutorials and labs on the same topic can be a powerful combination.
For More Information
Inquiries concerning submissions and suggestions for the tutorial and lab forum may be directed to the forum co-chairs at aaai25tlchairs@aaai.org. All other inquiries should be directed to AAAI at aaai25@aaai.org.
AAAI-25 Tutorial and Lab Forum Co-Chairs
John P. Dickerson (arthur.ai)
Nicholas Mattei (Tulane University)
Tutorial and Lab Forum Schedule
Tuesday, February 25
8:30am-12:30pm
TH01: Bridging Inverse Reinforcement Learning and Large Language Model Alignment: Toward Safe and Human-Centric AI Systems – Room 119B
TH02: Building trustworthy ML: The role of label quality and availability – Room 119A
TH03: Fairness in AI/ML via Social Choice – Room 118C
TH04: Foundation Models meet Embodied Agents – Room 118A
TH05: Multi-modal Foundation Model for Scientific Discovery: With Applications in Chemistry, Material, and Biology – Room 117
TH06: Pre-trained Language Model with Limited Resources – Room 116
LH01: DAMAGeR: Deploying Automatic and Manual Approaches to GenAI Red-teaming – Room 120A
8:30am-10:15am
TQ01: Advancing Offline Reinforcement Learning: Essential Theories and Techniques for Algorithm Developers – Room 115C
TQ02: Unified Semi-Supervised Learning with Foundation Models – Room 115A
10:45am-12:30pm
LQ01: SOFAI Lab: A Hands-On Guide to Building Neurosymbolic Systems with Metacognitive Control – Room 115C
TQ03: Reinforcement Learning with Temporal Logic objectives and constraints – Room 115A
2:00pm-6:00pm
TH07: Concept-based Interpretable Deep Learning – Room 120A
TH08: Evaluating Large Language Models: Challenges and Methods – Room 119B
TH09: Foundation Models for Time Series Analysis: A Tutorial – Room 119A
TH10: Neurosymbolic AI for EGI: Explainable, Grounded, and Instructable Generations – Room 118C
2:00pm-3:45pm
Cancelled – TQ04: Deep Representation Learning for Tabular Data – Room 118A
TQ05: LLMs and Copyright Risks: Benchmarks and Mitigation Approaches – Room 117
TQ06: Physics-Inspired Geometric Pretraining for Molecule Representation – Room 116
4:15pm-6:00pm
TQ07: From Tensor Factorizations to Circuits (and Back) – Room 117
TQ08: KV Cache Compression for Efficient Long Context LLM Inference: Challenges, Trade-Offs, and Opportunities – Room 116
TQ09: Supervised Algorithmic Fairness in Distribution Shifts – Room 115C
LQ03: Developing explainable multimodal AI models with hands-on lab on the life-cycle of rare event prediction in manufacturing – Room 118A
Wednesday, February 26
8:30am-12:30pm
TH11: (Really) Using Counterfactuals to Explain AI Systems: Fundamentals, Methods, & User Studies for XAI – Room 120A
TH12: Advancing Brain-Computer Interfaces with Generative AI for Text, Vision, and Beyond – Room 119B
TH13: AI for Science in the Era of Large Language Models – Room 119A
TH14: Causal Representation Learning – Room 118C
TH15: Graph Neural Networks: Architectures, Fundamental Properties and Applications – Room 118A
TH16: Machine Learning for Protein Design – Room 117
TH17: The Lifecycle of Knowledge in Large Language Models: Memorization, Editing, and Beyond” – Room 116
TH18: Thinking with Functors — Category Theory for A(G)I – Room 115C
TH19: User-Driven Capability Assessment of Taskable AI Systems – Room 115A
8:30am-10:15am
TQ10: Artificial Intelligence Safety: From Reinforcement Learning to Foundation Models – Room 113C
TQ11: Hallucinations in Large Multimodal Models – Room 113A
10:45am-12:30pm
TQ12: Graph Machine Learning under Distribution Shifts: Adaptation, Generalization and Extension to LLM – Room 113A
LQ02: Continual Learning on Graphs: Challenges, Solutions, and Opportunities – Room 113C
2:00pm-6:00pm
TH20: AI Data Transparency: The Past, the Present, and Beyond – Room 120A
TH21: Data-driven Decision-making in Public Health and its Real-world Applications – Room 119B
TH22: Decision Intelligence for Two-sided Marketplaces – Room 119A
TH23: Inferential Machine Learning: Towards Human-collaborative Vision and Language Models – Room 118C
TH24: Machine Learning for Solvers – Room 118A
Cancelled – TH25: Model Reuse: Unlocking the Power of Pre-Trained Model Resources – Room 117
TH26: Symbolic Regression: Towards Interpretability and Automated Scientific Discovery – Room 116
TH27: Tutorial: Multimodal Artificial Intelligence in Healthcare – Room 115C
2:00pm-3:45pm
TQ13: Curriculum Learning in the Era of Large Language Models – Room 115A
TQ14: Hypergraph Neural Networks: An In-Depth and Step-by-Step Guide – Room 113C
TQ15: The Quest for A Science of Language Models – Room 113A
4:15pm-6:00pm
LQ04: Financial Inclusion through AI-Powered Document Understanding – Room 115A
TQ16: When Deep Learning Meets Polyhedral Theory: A Tutorial – – Room 113C
Additional Programming on February 25-26
AAAI is pleased to present the AAAI-25 Bridge Program. Bridges will be held Tuesday and Wednesday, February 25-26, 2025. The AAAI-25 bridge program includes 11 Bridges covering a wide range of topics in artificial intelligence. Bridges are one day unless otherwise noted in the individual descriptions. Registration for the program is open to all interested individuals and required to participate. Bridge registration will be available as an add-on for AAAI-25 technical registrants as well.
Tutorial and Lab Forum Connection to Collaborative Bridge Theme
New communities often emerge when two or more disciplines come together, in order to explore new opportunities and perspectives; today both are plentiful. The purpose of this year’s collaborative bridge theme is to help cultivate this process. Tutorials and labs act as catalysts for these bridges, they help to codify recent research results and tools and to present them to the research community in a timely fashion. Our goal for this year’s forum is to present to the community a diverse set of powerful formalisms, methods and tools that are representative of the diversity of AI as a whole.