UQ4ML | COMETA Workshop on Uncertainty Quantification for Machine Learning

Session

Spotlight

UQ4ML/20250918/spot

Sep 18, 2025, 9:00 AM

Amphithéâtre Claude Bloch (IPhT) (CEA Paris-Saclay)

Conveners

Spotlight: Spotlight

• Harold Erbin

Spotlight: Talks

• Harold Erbin

49. Machine learning of biological sequences

Jorge Fernández de Cossío Díaz (CEA Paris-Saclay)

9/18/25, 9:00 AM

Keynote

Over the last decade machine learning has had tremendous impact on biological sequence data analysis. In this talk, I will begin by introducing general issues related to biological sequence modeling. I will then review a selection of recent works on this topic, including: i) generative models for sequence design, ii) sampling of evolutionary paths between natural sequences of different...

43. Interaction reconstruction in scintillator detectors for PET imaging - Deep Learning approach with uncertainty quantification

Geoffrey Daniel

9/18/25, 10:30 AM

Deep Learning and Uncertainty Quantification

Short-talk

Positron Emission Tomography (PET) is a medical imaging modality that is powerful to follow biological processes. Nevertheless, it is of importance to increase its sensitivity to improve the contrast on the PET images and to decrease the patient exposure to radiation. One promising way is the use of the Time-of-Flight (ToF) of coincident gamma ray photons to get a more precise information of...