Jann Goschenhofer
- 05/2023: Our paper on Bayesian Pseudo-label Selection got accepted at UAI, great collaboration with the LMU Statistics Dpt., find the Arxive version here
- 04/2023: Gave a talk at the MunichNLP meetup, great community
- 04/2023: happy that our paper on Semi-constrained Clustering in collaboration with Prof. Zsolt Kira got accepted at IJCNN with work mostly done during my stay at Georgia Tech
- 03/2023: I submitted my PhD thesis, looking forward to the defense in July
- 02/2023: our collaborative work on Parkinson's Monitoring in a consortium led by Sage Bionetworks and the Michael J. Fox Foundation got published at PLOS Digital Health
- 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 and the .pdf on arxive.
- 12/2022: had a great time at EMNLP and am grateful 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 BMT 2022 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 in Paris.
- 04/2022: we had great discussions presenting our work on Deep Learning for Aluminum Sorting at the SBSC 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 here.
- 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 in Atlanta.
- 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 here.
- 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 here.
- 11/2019: had a great time at the MLSS 2019
- 07/2019: our paper on Machine Learning in the context of Parkinson's will appear at ECML 2019
- 05/2019: started my PhD within the Fraunhofer ADA Center supervised by Prof. Bernd Bischl