2025
Previous
Causal inference in high-dimensional exploratory experiments
Register always matters: analysis of LLM pretraining data through the lens of language variation
The unseen frontier: pushing the limits of LLM sparsity with surrogate-free ADMM
Explainable AI for time series - a signal processing approach
Evading AI systems
The role of the environment in the dynamics and evolution of microbial populations
From data to decisions: knowledge-driven ML in orthopedic surgery
Systems that learn and reason
On RL without Lock in Action
This seminar is part of the seminar series on the thematic focus of uncertainty quantification (Objective 4: Machine learning with quantified uncertainty).
Barotropic trends through Barents Sea opening for the period 1975-2021: The underlying physical processes explained using Artificial Intelligence
Restoring the Self: Personal LLMs as guardians of human identity and agency for people living with severe communication disorders