01/2023: as part of a master seminar @LMU we wrote a 230-pages overview book on multimodal learning with a bunch of motivated students, check
the online version
the .pdf on arxive
12/2022: had a great time at EMNLP and am graetful that our "CC-Top" paper recevied the
best paper award at the EvoNLP workshop
10/2022: our paper "CC-top: Constrained Clustering for Dynamic Topic Discovery" was accepted as an oral at
EMNLP's EvoNLP Workshop
, looking forward to the conference in December '22.
09/2022: spent an insightful week at the
MLOps Summer School at DTU
exchanging and working with academics and ml engineers on the current state of MLOps.
06/2022: looking forward to present our work on Robust Colon Tissue Cartography via Semi-supervision in the context of Histopathology at the
in September '22.
05/2022: had a great time presenting our work on Parkinson's Monitoring at
the annual summit of the European University Alliance for Global Health
04/2022: we had great discussions presenting our work on Deep Learning for Aluminum Sorting at the
conference in Aachen.
03/2022: check the arxive version of our paper on
Positive-Unlabeled Learning with Uncertainty-aware Pseudo-label Selection
which is currently under review.
11/2021: our work on
Deep Semi-supervised Learning for Time Series Classification
will appear at the ICMLA '21, find the code for the framework
10/2021: our follow-up work in the aftermath of the BEAT-PD challenge
can be found on medrxiv
09/2021: had a great start as a visiting researcher in
Zsolt Kira's RIPL Lab
08/2021: grateful for DAAD support of my stay a Georgia Tech.
03/2021: one of the students in our Manifold Learning Semionar did a great job implementing the Semi-supervised Local Linear Embedding, check it out
05/2020: our solution ranked 3/42 in the
BeatPD Challenge on Parkinson's Monitoring
12/2019: will present a follow up on our work at the
ML4H Workshop at NeurIPS 2019.
hit me up if you are there as well and find the extended abstract
11/2019: had a great time at the
07/2019: our paper on
Machine Learning in the context of Parkinson's
will appear at
05/2019: started my PhD within the
Fraunhofer ADA Center
Prof. Bernd Bischl