Pieter-Jan Hoedt

According to our database, Pieter-Jan Hoedt authored at least 6 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Effective Distillation to Hybrid xLSTM Architectures.

Lukas Hauzenberger, Niklas Schmidinger, Thomas Schmied, Anamaria-Roberta Hartl, David Stap, Pieter-Jan Hoedt, Maximilian Beck, Sebastian Böck, Günter Klambauer, Sepp Hochreiter

CoRR, March, 2026

2025

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

HyperPCM: Robust Task-Conditioned Modeling of Drug-Target Interactions.

Emma Svensson, Pieter-Jan Hoedt, Sepp Hochreiter, Günter Klambauer

J. Chem. Inf. Model., 2024

2023

Principled Weight Initialisation for Input-Convex Neural Networks.

Pieter-Jan Hoedt, Günter Klambauer

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

MC-LSTM: Mass-Conserving LSTM.

Pieter-Jan Hoedt, Frederik Kratzert, Daniel Klotz, Christina Halmich, Markus Holzleitner, Grey Nearing, Sepp Hochreiter, Günter Klambauer

Proceedings of the 38th International Conference on Machine Learning, 2021

2019

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