Here we collect all papers within the AIDD Project


Vall, Andreu, Yogesh Sabnis, Jiye Shi, Reiner Class, Sepp Hochreiter, and Günter Klambauer. 2021. “The Promise of AI for DILI Prediction.” Frontiers in Artificial Intelligence 4 (April): 638410.

Gauch, Martin, Frederik Kratzert, Daniel Klotz, Grey Nearing, Jimmy Lin, and Sepp Hochreiter. 2021. “Rainfall–runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network.” Hydrology and Earth System Sciences 25 (4): 2045–62.

Kim, Paul T., Robin Winter, and Djork-Arné Clevert. 2021. “Unsupervised Representation Learning for Proteochemometric Modeling.” International Journal of Molecular Sciences 22 (23).

Clevert, Djork-Arné, Tuan Le, Robin Winter, and Floriane Montanari. 2021. “Img2Mol - Accurate SMILES Recognition from Molecular Graphical Depictions.” Chemical Science 12 (42): 14174–81.


Widrich, M., B. Schäfl, M. Pavlovic, H. Ramsauer, L. Gruber, M. Holzleitner, J. Brandstetter, et al. 2020. “Modern Hopfield Networks and Attention for Immune Repertoire Classification.” In. Vol. 2020-December. Neural information processing systems foundation.