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Sepp Hochreiter

  1. Hopfield Networks is All You Need
    2020/07/16 by Hubert Ramsauer, Ramsauer, Hubert, Bernhard Schäfl +32 · 9 voices · 111 citations
    Neuroscience · Computer Science · #Cognitive Science and Education Research #Semantic Web and Ontologies
  2. Long Short-Term Memory
    1997/11/01 by Sepp Hochreiter, Jürgen Schmidhuber · 3537 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Neural Networks and Applications
  3. Self-Normalizing Neural Networks
    2017/06/08 by Günter Klambauer, Thomas Unterthiner, Andreas Mayr +1 · 3 voices · 85 citations
    #cs.LG #stat.ML
  4. xLSTM: Extended Long Short-Term Memory
    2024/05/07 by Maximilian Beck, Beck, Maximilian, Korbinian Pöppel +17 · 10 voices · 117 citations
    Computer Science · #Topic Modeling
  5. Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
    2015/11/23 by Djork-Arné Clevert, Thomas Unterthiner, Clevert, Djork-Arné +3 · 371 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications #Machine Learning and ELM
  6. Flat Minima
    1997/01/01 by Sepp Hochreiter, Jürgen Schmidhuber · 119 citations
    Engineering · #Advanced Numerical Analysis Techniques
  7. Fréchet ChemNet Distance: A metric for generative models for molecules in drug discovery
    2018/03/26 by Kristina Preuer, Philipp Renz, Preuer, Kristina +7 · 38 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)
  8. Vision-LSTM: xLSTM as Generic Vision Backbone
    2024/06/06 by Benedikt Alkin, Alkin, Benedikt, Maximilian Beck +8 · 2 voices · 13 citations
    Engineering · Earth and Planetary Sciences · #cs.CV #cs.AI #cs.LG
  9. TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning
    2025/05/29 by Andreas Auer, Auer, Andreas, Patrick Podest +9 · 2 voices · 33 citations
    Computer Science · Decision Sciences · Engineering · #Forecasting Techniques and Applications #Stock Market Forecasting Methods #Traffic Prediction and Management Techniques #cs.LG
  10. Towards Learning Universal, Regional, and Local Hydrological Behaviors\n via Machine-Learning Applied to Large-Sample Datasets
    2019/07/19 by Frederik Kratzert, Kratzert, Frederik, Daniel Klotz +9 · 20 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)
  11. RUDDER: Return Decomposition for Delayed Rewards
    2018/06/20 by Jose A. Arjona-Medina, Michael Gillhofer, Arjona-Medina, Jose A. +9 · 19 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Parallel Computing and Optimization Techniques #Reinforcement Learning in Robotics #Topic Modeling
  12. Improving Uncertainty Estimation through Semantically Diverse Language Generation
    2024/06/06 by Lukas Aichberger, Kajetan Schweighofer, Aichberger, Lukas +5 · 1 voice · 10 citations
    Computer Science · #Topic Modeling #cs.AI #cs.LG
  13. A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization
    2024/06/03 by Sebastian Sanokowski, Sepp Hochreiter, Sanokowski, Sebastian +3 · 18 citations
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences #Industrial Technology and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Manufacturing Process and Optimization #Neural Networks and Applications
  14. Conformal Prediction for Time Series with Modern Hopfield Networks
    2023/03/22 by Andreas Auer, Martin Gauch, Auer, Andreas +5 · 9 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computational Physics and Python Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Time Series Analysis and Forecasting
  15. Large Language Models Can Self-Improve At Web Agent Tasks
    2024/05/30 by Ajay Patel, Markus Hofmarcher, Patel, Ajay +9 · 13 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multi-Agent Systems and Negotiation #Natural Language Processing Techniques #Topic Modeling
  16. 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 · 5 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #cs.AI #cs.LG
  17. A Dataset Perspective on Offline Reinforcement Learning
    2021/11/08 by Kajetan Schweighofer, Andreas Radler, Schweighofer, Kajetan +13 · 6 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Reinforcement Learning in Robotics
  18. CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP
    2021/10/21 by Andreas Fürst, Elisabeth Rumetshofer, Fürst, Andreas +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
  19. 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 · 6 citations
    Computer Science · Materials Science · #Computational Drug Discovery Methods #Machine Learning in Materials Science #cs.CL #cs.LG #q-bio.BM #stat.ML
  20. Rethinking Uncertainty Estimation in LLMs: A Principled Single-Sequence Measure
    2024/12/19 by Lukas Aichberger, Aichberger, Lukas, Kajetan Schweighofer +3 · 3 voices · 5 citations
    Computer Science · #AI-based Problem Solving and Planning #Explainable Artificial Intelligence (XAI) #Topic Modeling #cs.LG
  21. 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 · 8 citations
    Biochemistry, Genetics and Molecular Biology · #Machine Learning in Bioinformatics #Genomics and Phylogenetic Studies #Gene expression and cancer classification
  22. Variational Annealing on Graphs for Combinatorial Optimization
    2023/11/23 by Sebastian Sanokowski, Sanokowski, Sebastian, Wilhelm Berghammer +5 · 7 citations
    Computer Science · #Advanced Multi-Objective Optimization Algorithms #Computational Drug Discovery Methods #Metaheuristic Optimization Algorithms Research
  23. Learning to Modulate pre-trained Models in RL
    2023/06/26 by Thomas Schmied, Markus Hofmarcher, Schmied, Thomas +7 · 6 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics
  24. Context-enriched molecule representations improve few-shot drug discovery
    2023/04/24 by Johannes Schimunek, Schimunek, Johannes, Philipp Seidl +11 · 6 citations
    Computer Science · Materials Science · Biochemistry, Genetics and Molecular Biology · #Computational Drug Discovery Methods #Machine Learning in Materials Science #Protein Structure and Dynamics
  25. Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields
    2017/08/29 by Thomas Unterthiner, Bernhard Nessler, Unterthiner, Thomas +11 · 3 citations
    Computer Science · #Advanced Image Processing Techniques #Computer Science and Game Theory (cs.GT) #Digital Media Forensic Detection #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  26. Rethinking Losses for Diffusion Bridge Samplers
    2025/06/12 by Sebastian Sanokowski, Sanokowski, Sebastian, Lukas Gruber +7 · 3 voices · 2 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Generative Adversarial Networks and Image Synthesis #Machine Learning in Healthcare #cs.AI #cs.LG #stat.ML
  27. Parameter Efficient Fine-tuning via Explained Variance Adaptation
    2024/10/09 by Fabian Paischer, Paischer, Fabian, Lukas Hauzenberger +9 · 10 citations
    Computer Science · #Advanced Vision and Imaging #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Speech and Audio Processing
  28. 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
  29. Introducing an Improved Information-Theoretic Measure of Predictive Uncertainty
    2023/11/14 by Kajetan Schweighofer, Lukas Aichberger, Schweighofer, Kajetan +5 · 5 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI)
  30. VN-EGNN: E(3)-Equivariant Graph Neural Networks with Virtual Nodes Enhance Protein Binding Site Identification
    2024/04/10 by Florian Sestak, Sestak, Florian, Lisa Schneckenreiter +9 · 6 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Artificial Intelligence (cs.AI) #Biomolecules (q-bio.BM) #Computational Drug Discovery Methods #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Bioinformatics #Protein Structure and Dynamics
  31. Boundary Graph Neural Networks for 3D Simulations
    2021/06/21 by Andreas Mayr, Sebastian Lehner, Mayr, Andreas +9 · 3 citations
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Computational Physics and Python Applications #FOS: Computer and information sciences #Image Processing and 3D Reconstruction #Lattice Boltzmann Simulation Studies #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  32. MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Representations
    2024/02/15 by Benedikt Alkin, Alkin, Benedikt, Lukas Miklautz +5 · 5 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning in Bioinformatics #Neural Networks and Applications
  33. On Information-Theoretic Measures of Predictive Uncertainty
    2024/10/14 by Kajetan Schweighofer, Schweighofer, Kajetan, Lukas Aichberger +5 · 7 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical and Computational Modeling
  34. Semantic HELM: A Human-Readable Memory for Reinforcement Learning
    2023/06/15 by Fabian Paischer, Paischer, Fabian, Thomas Adler +5 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Topic Modeling
  35. Retrieval-Augmented Decision Transformer: External Memory for In-context RL
    2024/10/09 by Thomas Schmied, Fabian Paischer, Schmied, Thomas +9 · 6 citations
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Context-Aware Activity Recognition Systems #FOS: Computer and information sciences #Intelligent Tutoring Systems and Adaptive Learning #Machine Learning (cs.LG) #Robotics and Automated Systems
  36. Geometry-Informed Neural Networks
    2024/02/21 by Arturs Bērziņš, Andreas Radler, Berzins, Arturs +8 · 3 citations
    Engineering · #Advanced Numerical Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Manufacturing Process and Optimization
  37. History Compression via Language Models in Reinforcement Learning
    2022/05/24 by Fabian Paischer, Thomas Adler, Paischer, Fabian +13 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Topic Modeling
  38. Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning
    2022/07/12 by Christian Steinparz, Steinparz, Christian, Thomas Schmied +13 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
  39. SymbolicAI: A framework for logic-based approaches combining generative models and solvers
    2024/02/01 by Marius-Constantin Dinu, Dinu, Marius-Constantin, Claudiu Leoveanu-Condrei +7 · 4 citations
    Computer Science · #AI-based Problem Solving and Planning #Advanced Database Systems and Queries #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Semantic Web and Ontologies #Software Engineering (cs.SE) #Symbolic Computation (cs.SC)
  40. Comparison Visual Instruction Tuning
    2024/06/13 by Wei Lin, M. Jehanzeb Mirza, Lin, Wei +11 · 3 citations
    Social Sciences · #Education and Technology Integration #Educational Environments and Student Outcomes
  41. Cross-Domain Few-Shot Learning by Representation Fusion
    2020/10/13 by Thomas Adler, J. Brandstetter, Adler, Thomas +13 · 1 citation
    Computer Science · Medicine · #COVID-19 diagnosis using AI #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM
  42. Uncertainty Estimation with Deep Learning for Rainfall-Runoff Modelling
    2020/12/15 by Daniel Klotz, Frederik Kratzert, Klotz, Daniel +11 · 1 citation
    Environmental Science · #86A05 #FOS: Computer and information sciences #FOS: Physical sciences #Flood Risk Assessment and Management #Geophysics (physics.geo-ph) #Hydrological Forecasting Using AI #Hydrology and Watershed Management Studies #J.2.5 #Machine Learning (cs.LG)
  43. Trusted Artificial Intelligence: Towards Certification of Machine Learning Applications
    2021/03/31 by Philip Matthias Winter, Winter, Philip Matthias, Sebastian K. Eder +12 · 1 citation
    Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #Ethics and Social Impacts of AI
  44. Hopular: Modern Hopfield Networks for Tabular Data
    2022/06/01 by Bernhard Schäfl, Lukas Gruber, Schäfl, Bernhard +5 · 1 voice
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.LG
  45. Unlocking the Working Memory of Large Language Models for Latent Reasoning
    2026/05/28 by Lukas Aichberger, Sepp Hochreiter · 2 voices
    Computer Science · #cs.CL #cs.AI
  46. 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
  47. Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget
    2023/04/20 by Johannes M. Lehner, Benedikt Alkin, Lehner, Johannes +9 · 1 citation
    Computer Science · Medicine · #Domain Adaptation and Few-Shot Learning #COVID-19 diagnosis using AI #Multimodal Machine Learning Applications
  48. Simplified priors for Object-Centric Learning
    2024/10/01 by Vihang Patil, Patil, Vihang, Andreas Radler +5 · 1 citation
    Computer Science · #Machine Learning and Algorithms
  49. The Disparate Benefits of Deep Ensembles
    2024/10/17 by Kajetan Schweighofer, Adrián Arnaiz-Rodríguez, Schweighofer, Kajetan +5 · 1 citation
    Physics and Astronomy · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Opinion Dynamics and Social Influence
  50. Effective Distillation to Hybrid xLSTM Architectures
    2026/03/16 by Lukas Hauzenberger, Niklas Schmidinger, Thomas Schmied +7 · 2 voices · 1 citation
    #cs.LG
  51. FlashRNN: I/O-Aware Optimization of Traditional RNNs on modern hardware
    2024/12/10 by Korbinian Pöppel, Pöppel, Korbinian, Maximilian Beck +3 · 1 voice · 1 citation
    Computer Science · Neuroscience · #Artificial Intelligence (cs.AI) #Brain Tumor Detection and Classification #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #cs.AI #cs.LG