Seminar
The TransferLab Seminar is a platform where researchers and engineers share and discuss recent advances in AI/ML, striking a balance between accessibility and mathematical depth.
We organize comprehensive talks on ML, RL, DL and statistics, emphasizing both theoretical understanding and practical implementation. These range from introductory overviews to recent developments - and are open to all interested individuals!
Each talk, lasting about 45min followed by around 15min discussion, focuses on a specific topic related to our ongoing series topics. To stay informed, follow the appliedAI Institute on LinkedIn. If you’re interested in presenting your work, contact us.
Upcoming Talks
Scheduled
LAVA: Data Valuation Without Pre-Specified Learning Algorithms -
Feiyang Kang (Virginia Tech)
Previous Talks
Done
RAGAR, Your Falsehood RADAR: RAG-Augmented Reasoning for Political Fact-Checking using Multimodal Large Language Models -
Mohammed Abdul Khaliq (University of Stuttgart)
Done
Second-Order Information and Applications -
Kristof Schröder (appliedAI Institute)
Done
Predictive, Scalable and Interpretable Knowledge Tracing on Structured Domains -
Álvaro Tejero-Cantero (University of Tübingen)
Done
Conditional Flow Matching: Simulation-Free Dynamic Optimal Transport -
Alex Tong (MILA)
Done
Mind the Gap: Methods and Applicability of Simulation-Based Inference -
Jan Teusen (appliedAI Institute)
Done
Studying LLMs with Influence Functions -
Fabio Peruzzo (appliedAI Initiative)