Pieter-Jan Hoedt

1. Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences
   2024/11/06 by Niklas Schmidinger, Lisa Schneckenreiter, Schmidinger, Niklas +18 · 2 voices · 8 citations
   Biochemistry, Genetics and Molecular Biology · #Machine Learning in Bioinformatics #Genomics and Phylogenetic Studies #Gene expression and cancer classification
2. MC-LSTM: Mass-Conserving LSTM
   2021/01/09 by Pieter-Jan Hoedt, Frederik Kratzert, Hoedt, Pieter-Jan +13 · 3 citations
   Computer Science · Environmental Science · #Anomaly Detection Techniques and Applications #Hydrological Forecasting Using AI #Generative Adversarial Networks and Image Synthesis
3. Principled Weight Initialisation for Input-Convex Neural Networks
   2023/12/19 by Pieter-Jan Hoedt, Hoedt, Pieter-Jan, Günter Klambauer +1 · 3 citations
   Materials Science · Computer Science · #Machine Learning in Materials Science #Adversarial Robustness in Machine Learning #Computational Drug Discovery Methods
4. Effective Distillation to Hybrid xLSTM Architectures
   2026/03/16 by Lukas Hauzenberger, Niklas Schmidinger, Thomas Schmied +7 · 2 voices · 1 citation
   #cs.LG