Andras Formanek, from our lab, will present tomorrow 20th at #ICANN2024 (14:50, Aula Magna) on Model Based Clustering of Time Series Utilizing Expert ODEs.
Paper: link.springer.com/chapter/10…
Daniele Raimondi from our lab gave a highlight talk on the ballance of dataset size and model complexity in genome interpretation on #ECCB2024. You can read the original work at genomebiology.biomedcentral.…
Second talk is by Rosa Friesacher @RosaFriesi from @AstraZeneca and @KU_Leuven speaks about calibration of uncertainty for activity predictions in classification models using time-split validation experiments.
If you are curious how different #uncertainty estimation methods perform when they are tested on NN models trained on large scale industrial #pharma data, visit our poster in room A8 (AI4Science) from 16:15 #ICML2024 @RosaFriesi @adamgld Emma Svensson @AiddOne
Please join us today afternoon on #CVPR24 poster section, number 297. To hear about our CV method for extracting chemical knowledge from papers and patents.
It was a pleasure to have Igor Tetko from Helmholtz Munich presenting us a detailed review of challenges and Advanced ML solutions in Drug Discovery @AiddOne@AiChemist_DN
It was a pleasure to welcome @PTorrenPeraire in Leuven, where she gave a talk about her work on the effect of single-step retrosynthesis models on multi-step planning performance. @AiddOne
It was a pleasure to welcome @ana_sanchezf in Leuven, where she gave a talk about her work on Representation learning based on cell painting microscopy images. #AIDDOne
We present our work on optimal transport for domain adaptation in liquid biopsies today on #ISMBECCB2023, Poster B-310. If you are interested, join us!
Why additive models seem optimal in genetic risk modeling, while we expect nonlinear relationship? If you are interested check our poster at B-234 #ISMBECCB2023
AIDD project organized its fifth School at @AstraZeneca during the first week of July. The top scientists of the company and invited speaker provided excellent overview of the progress of AI to speed up drug discovery. Selected lectures will be posted at ai-dd.eu/lectures
ALT AIDD fellows including several PIs in front of the main entrance to the company in Mölndal, Sweden.