Mariem Kthiri

Topic: Evaluation and improvement of robustness of Machine Learning Models - Theoretical background on OOD detection, Image-to-image transformation and Model uncertainty - Implementation and evaluation of baselines - Evaluation and comparison of different methods for OOD detection, Image-to-image transformation and Model uncertainty - Build up a pipeline for evaluating robustness (OOD detection) and improving it (Image-to-image transformation and Model uncertainty) using PyTorch framework

Topic: Learning the MMSE Estimator for Sparse Signal Recovery. - Theoretical background in compressive sensing and MMSE estimation, - Implementation of Orthogonal Matching Pursuit (OMP) in Julia, - Implementation and Fine-tuning of CNN in Julia using the TensorFlow framework, - Comparison between the performance of CNN and OMP.

Automation and Robotics