Günter Klambauer
- 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
- Self-Normalizing Neural Networks
2017/06/08 by Günter Klambauer, Thomas Unterthiner, Andreas Mayr +1 · 3 voices · 62 citations
#cs.LG #stat.ML
- 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
- 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)
- 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
- 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)
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- Effective Distillation to Hybrid xLSTM Architectures
2026/03/16 by Lukas Hauzenberger, Niklas Schmidinger, Thomas Schmied +7 · 2 voices · 1 citation
#cs.LG