| Issue Date | Title | Involved Person(s) |
| 7-Aug-2023 | Bidisperse extension of the kissing number problem | Schneider, Johannes Josef; Barrow, David Anthony; Li, Jin; Weyland, Mathias; Flumini, Dandolo; Eggenberger Hotz, Peter; Füchslin, Rudolf Marcel |
| 15-Jun-2023 | Short-term density forecasting of low-voltage load using bernstein-polynomial normalizing flows | Arpogaus, Marcel; Voss, Marcus; Sick, Beate; Nigge-Uricher, Mark; Dürr, Oliver |
| 2023 | Mathematical expression recognition using a new deep neural model | Mirkazemy, Abolfazl; Adibi, Peyman; Ehsani, Seyed Mohhamad Saied; Darvishy, Alireza; Hutter, Hans-Peter |
| 27-Jan-2022 | Machine learning for mathematical modelling of Piezo hysteresis | Büchi, Roland |
| 2022 | Development of a diffusion-weighed mathematical model for intradermal drainage quantification | Kirsch, Christoph; Fehr, Daniel; Babity, Samuel; Polomska, Anna; Detmar, Michael; Bonmarin, Mathias; Brambilla, Davide |
| 2022 | Deep Gaussian mixture model : a novelty detection method for time series | Brunner, Stefan; Frischknecht-Gruber, Carmen; Reif, Monika Ulrike; Senn, Christoph |
| 30-Nov-2021 | Interpreting difference measures for social contact matrices : impact on the pandemic dynamics | Chehda Moreno, Nora; Weyland, Mathias; Smieszek, Timo; Füchslin, Rudolf Marcel; Krütli, Pius; Schneider, Johannes Josef; Scheidegger, Stephan |
| 16-Jun-2021 | Using difference detail curves to assess image quality of low contrast abdominal CT scans | Sommer, Christian; Özden, Ismail; Weyland, Mathias; Duran, Carolina; Lutters, Gerd; Scheidegger, Stephan |
| 2021 | Deep transformation models : tackling complex regression problems with neural network based transformation models | Sick, Beate; Hathorn, Torsten; Durr, Oliver |
| 23-Apr-2019 | Applied compositional data analysis | Templ, Matthias |
