3 papers
cs.LG2025
Using LLMs for Late Multimodal Sensor Fusion for Activity Recognition
Ilker Demirel, Karan Thakkar, Benjamin Elizalde +7
Sensor data streams provide valuable information around activities and context for downstream applications, though integrating complementary information can be challenging. We show…
stat.ME2025
Uncovering Bias Mechanisms in Observational Studies
Ilker Demirel, Zeshan Hussain, Piersilvio De Bartolomeis +1
Observational studies are a key resource for causal inference but are often affected by systematic biases. Prior work has focused mainly on detecting these biases, via sensitivity…
cs.LG2025
Prediction-Powered Causal Inferences
Riccardo Cadei, Ilker Demirel, Piersilvio De Bartolomeis +4
In many scientific experiments, the data annotating cost constraints the pace for testing novel hypotheses. Yet, modern machine learning pipelines offer a promising solution, provi…