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Günter Klambauer

  1. Hopfield Networks is All You Need
    2020/07/16 by Hubert Ramsauer, Bernhard Schäfl, Ramsauer, Hubert +32 · 9 voices · 85 citations
    Neuroscience · Computer Science · #Cognitive Science and Education Research #Semantic Web and Ontologies
  2. Self-Normalizing Neural Networks
    2017/06/08 by Günter Klambauer, Thomas Unterthiner, Andreas Mayr +1 · 3 voices · 62 citations
    #cs.LG #stat.ML
  3. xLSTM: Extended Long Short-Term Memory
    2024/05/07 by Maximilian Beck, Beck, Maximilian, Korbinian Pöppel +17 · 10 voices · 81 citations
    Computer Science · #Topic Modeling
  4. Fréchet ChemNet Distance: A metric for generative models for molecules in drug discovery
    2018/03/26 by Kristina Preuer, Preuer, Kristina, Philipp Renz +7 · 26 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Computational Drug Discovery Methods #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Protein Structure and Dynamics #Quantitative Methods (q-bio.QM)
  5. TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning
    2025/05/29 by Andreas Auer, Patrick Podest, Auer, Andreas +9 · 2 voices · 30 citations
    Computer Science · Decision Sciences · Engineering · #Forecasting Techniques and Applications #Stock Market Forecasting Methods #Traffic Prediction and Management Techniques #cs.LG
  6. Towards Learning Universal, Regional, and Local Hydrological Behaviors\n via Machine-Learning Applied to Large-Sample Datasets
    2019/07/19 by Frederik Kratzert, Daniel Klotz, Kratzert, Frederik +9 · 15 citations
    Environmental Science · #FOS: Computer and information sciences #Flood Risk Assessment and Management #Hydrological Forecasting Using AI #Hydrology and Watershed Management Studies #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  7. CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP
    2021/10/21 by Andreas Fürst, Fürst, Andreas, Elisabeth Rumetshofer +19 · 6 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  8. Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language
    2023/03/06 by Philipp Seidl, Andreu Vall, Seidl, Philipp +5 · 1 voice · 5 citations
    Computer Science · Materials Science · #Computational Drug Discovery Methods #Machine Learning in Materials Science #cs.CL #cs.LG #q-bio.BM #stat.ML
  9. A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks
    2024/10/29 by Thomas Schmied, Thomas Adler, Schmied, Thomas +16 · 2 voices · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #cs.AI #cs.LG
  10. Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences
    2024/11/06 by Niklas Schmidinger, Schmidinger, Niklas, Lisa Schneckenreiter +18 · 2 voices · 5 citations
    Biochemistry, Genetics and Molecular Biology · #Machine Learning in Bioinformatics #Genomics and Phylogenetic Studies #Gene expression and cancer classification
  11. MC-LSTM: Mass-Conserving LSTM
    2021/01/09 by Pieter-Jan Hoedt, Hoedt, Pieter-Jan, Frederik Kratzert +13 · 3 citations
    Computer Science · Environmental Science · #Anomaly Detection Techniques and Applications #Hydrological Forecasting Using AI #Generative Adversarial Networks and Image Synthesis
  12. Context-enriched molecule representations improve few-shot drug discovery
    2023/04/24 by Johannes Schimunek, Schimunek, Johannes, Philipp Seidl +11 · 4 citations
    Computer Science · Materials Science · Biochemistry, Genetics and Molecular Biology · #Computational Drug Discovery Methods #Machine Learning in Materials Science #Protein Structure and Dynamics
  13. Principled Weight Initialisation for Input-Convex Neural Networks
    2023/12/19 by Pieter-Jan Hoedt, Günter Klambauer, Hoedt, Pieter-Jan +1 · 3 citations
    Materials Science · Computer Science · #Machine Learning in Materials Science #Adversarial Robustness in Machine Learning #Computational Drug Discovery Methods
  14. LaM-SLidE: Latent Space Modeling of Spatial Dynamical Systems via Linked Entities
    2025/02/17 by Florian Sestak, Artur Toshev, Sestak, Florian +9 · 2 voices · 2 citations
    #cs.LG #cs.AI
  15. TiRex-2: Generalizing TiRex to Multivariate Data and Streaming
    2026/07/01 by Patrick Podest, Marco Pichler, Elias Bürger +7 · 1 voice
    Computer Science · #cs.LG
  16. Effective Distillation to Hybrid xLSTM Architectures
    2026/03/16 by Lukas Hauzenberger, Niklas Schmidinger, Thomas Schmied +7 · 2 voices · 1 citation
    #cs.LG