WHO WE ARE

PhD Fellows

Student

Title

Advisor

Institution

Yishai Oltchik

IODEL: I/O Efficient Deep Learning

ETH Zurich

Vincent Fortuin

Bridging the Gap between Deep Learning and Probabilistic Bodeling

ETH Zurich

Johannes von Oswald

Probabilistic Auxiliary Networks: Beyond Learning Single Wight Configurations in Deep Networks

ETH Zurich

Xiaying Wang

Near-Sensor Analytics and Machine Learning for Long-Term Wearable Biomedical Systems

ETH Zurich

Freyer Sverrisson

DeepSurf – a geometric deep learning approach to profile molecular surfaces for functional annotation and design

EPFL

Zuoyue Li

Scene Understanding for Dynamic Environments

ETH Zurich

Fabian Latorre

Robust Deep Learning with Generative Models

EPFL

Stephan Johannes Ihle

Unsupervised feature vector extraction using histogram matching, cycle-consistent Generative Adversarial Networks for bottom-up neuroscience

ETH Zurich

Juan Pablo Madrigal Cianci

Advanced Sampling techniques for data-rich Bayesian inverse problems with applications to seismology

EPFL

Jean-Baptiste Cordonnier

Unsupervised Learning for Accelerating industrial and Scientific Machine Learning Applications

EPFL

Clément Vignac

More with Less – Interpretable and Structured Data Science

EPFL