Using LSTMs for climate change assessment studies on droughts and floods. - Frederik Kratzert; Daniel Klotz; Johannes Brandstetter; Pieter-Jan Hoedt; Grey Nearing; Sepp Hochreiter (CoRR, 2019)

MC-LSTM: Mass-Conserving LSTM. - Pieter-Jan Hoedt; Frederik Kratzert; Daniel Klotz; Christina Halmich; Markus Holzleitner; Grey Nearing; Sepp Hochreiter; Günter Klambauer (ICML, 2021)

Principled Weight Initialisation for Input-Convex Neural Networks. - Pieter-Jan Hoedt; Günter Klambauer (NeurIPS, 2023)

HyperPCM: Robust Task-Conditioned Modeling of Drug-Target Interactions. - Emma Svensson; Pieter-Jan Hoedt; Sepp Hochreiter; Günter Klambauer (J. Chem. Inf. Model., 2024)

Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences. - Niklas Schmidinger; Lisa Schneckenreiter; Philipp Seidl; Johannes Schimunek; Pieter-Jan Hoedt; Johannes Brandstetter; Andreas Mayr; Sohvi Luukkonen; Sepp Hochreiter; Günter Klambauer (ICLR, 2025)