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Jürgen Schmidhuber

  1. MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework
    2023/08/01 by Sirui Hong, Mingchen Zhuge, Hong, Sirui +27 · 3 voices · 324 citations
    Computer Science · #Multi-Agent Systems and Negotiation #Speech and dialogue systems #Natural Language Processing Techniques
  2. Long Short-Term Memory
    1997/11/01 by Sepp Hochreiter, Jürgen Schmidhuber · 1475 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Neural Networks and Applications
  3. World Models
    2018/03/27 by David Ha, Jürgen Schmidhuber · 7 voices · 178 citations
    #cs.LG #stat.ML
  4. Deep learning in neural networks: An overview
    2014/10/13 by Jürgen Schmidhuber · 327 citations
    Computer Science · #Neural Networks and Applications #Reinforcement Learning in Robotics #Domain Adaptation and Few-Shot Learning
  5. A Modern Self-Referential Weight Matrix That Learns to Modify Itself
    2022/02/11 by Kazuki Irie, Irie, Kazuki, Imanol Schlag +5 · 2 voices · 10 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Machine Learning and ELM #Neural Networks and Applications #cs.LG
  6. Mindstorms in Natural Language-Based Societies of Mind
    2023/05/26 by Mingchen Zhuge, Haozhe Liu, Zhuge, Mingchen +49 · 5 voices · 9 citations
    Computer Science · Social Sciences · #Language and cultural evolution #Multimodal Machine Learning Applications #Topic Modeling #cs.AI #cs.CL #cs.CV #cs.LG #cs.MA
  7. Highway Networks
    2015/05/03 by Rupesh Kumar Srivastava, Rupesh K. Srivastava, Srivastava, Rupesh Kumar +4 · 1 voice · 26 citations
    Computer Science · #Advanced Neural Network Applications #Stochastic Gradient Optimization Techniques #Adversarial Robustness in Machine Learning
  8. Flat Minima
    1997/01/01 by Sepp Hochreiter, Jürgen Schmidhuber · 81 citations
    Engineering · #Advanced Numerical Analysis Techniques
  9. Recurrent World Models Facilitate Policy Evolution
    2018/09/04 by David Ha, Ha, David, Jürgen Schmidhuber +1 · 130 citations
    Social Sciences · #FOS: Computer and information sciences #International Development and Aid #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  10. Learning to Forget: Continual Prediction with LSTM
    2000/10/01 by Felix A. Gers, Jürgen Schmidhuber, Fred Cummins · 66 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #Neural Networks and Applications
  11. On the Binding Problem in Artificial Neural Networks
    2020/12/09 by Klaus Greff, Sjoerd van Steenkiste, Greff, Klaus +3 · 3 voices · 16 citations
    Computer Science · Neuroscience · #Explainable Artificial Intelligence (XAI) #Neural Networks and Applications #Neural dynamics and brain function #cs.AI #cs.LG #cs.NE
  12. Meta Learning Backpropagation And Improving It
    2020/12/29 by Louis Kirsch, Jürgen Schmidhuber · 1 voice · 4 citations
    #cs.LG #cs.AI #cs.NE #stat.ML
  13. Neural Computers
    2026/04/07 by Mingchen Zhuge, Changsheng Zhao, Haozhe Liu +16 · 11 voices
    #cs.LG #cs.AI
  14. A Novel Connectionist System for Unconstrained Handwriting Recognition
    2009/03/09 by Alexander Graves, A. Graves, M. Liwicki +9 · 39 citations
    Computer Science · #Handwritten Text Recognition Techniques #Natural Language Processing Techniques #Hand Gesture Recognition Systems
  15. Framewise phoneme classification with bidirectional LSTM and other neural network architectures
    2005/07/01 by Alex Graves, Jürgen Schmidhuber · 16 citations
  16. Huxley-Gödel Machine: Human-Level Coding Agent Development by an Approximation of the Optimal Self-Improving Machine
    2025/10/24 by Wenyi Wang, Piotr Piękos, Wang, Wenyi +13 · 4 voices · 8 citations
    #cs.AI
  17. Language Agents as Optimizable Graphs
    2024/02/26 by Mingchen Zhuge, Wenyi Wang, Zhuge, Mingchen +9 · 13 citations
    Computer Science · #Natural Language Processing Techniques
  18. Going Beyond Linear Transformers with Recurrent Fast Weight Programmers
    2021/06/11 by Kazuki Irie, Imanol Schlag, Irie, Kazuki +5 · 8 citations
    Computer Science · #Artificial Intelligence in Games #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics
  19. Highway and Residual Networks learn Unrolled Iterative Estimation
    2016/12/22 by Klaus Greff, Rupesh K. Srivastava, Greff, Klaus +3 · 7 citations
    Computer Science · Decision Sciences · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #I.2.6 #I.5.1 #Machine Learning (cs.LG) #Machine Learning and Algorithms #Multidisciplinary Science and Engineering Research #Neural and Evolutionary Computing (cs.NE)
  20. MoEUT: Mixture-of-Experts Universal Transformers
    2024/05/25 by Róbert Csordás, Kazuki Irie, Csordás, Róbert +7 · 13 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Semantic Web and Ontologies
  21. Are Neural Nets Modular? Inspecting Functional Modularity Through\n Differentiable Weight Masks
    2020/10/05 by Róbert Csordás, Sjoerd van Steenkiste, Csordás, Róbert +3 · 6 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE) #Topic Modeling
  22. A Clockwork RNN
    2014/02/14 by Jan Koutník, Klaus Greff, Koutník, Jan +5 · 4 citations
    Computer Science · #Speech Recognition and Synthesis #Music and Audio Processing #Time Series Analysis and Forecasting
  23. Goldfish: Vision-Language Understanding of Arbitrarily Long Videos
    2024/07/17 by Kirolos Ataallah, Xiaoqian Shen, Ataallah, Kirolos +15 · 11 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  24. Training Agents using Upside-Down Reinforcement Learning
    2019/12/05 by Rupesh Kumar Srivastava, Pranav Shyam, Srivastava, Rupesh Kumar +7 · 5 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robotics (cs.RO)
  25. Recurrent Neural Processes
    2019/06/13 by Timon Willi, Jonathan Masci, Willi, Timon +5 · 1 voice · 1 citation
    Computer Science · Mathematics · #Artificial Intelligence in Games #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Topic Modeling #cs.LG #stat.ML
  26. Faster Diffusion via Temporal Attention Decomposition
    2024/04/03 by Haozhe Liu, Liu, Haozhe, Wentian Zhang +12 · 9 citations
    Computer Science · Medicine · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Radiomics and Machine Learning in Medical Imaging #Topic Modeling
  27. Improving Generalization in Meta Reinforcement Learning using Learned Objectives
    2019/10/09 by Louis Kirsch, Sjoerd van Steenkiste, Kirsch, Louis +3 · 6 citations
    Computer Science · #Adaptive Dynamic Programming Control #Artificial Intelligence (cs.AI) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #I.2.6 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #Reinforcement Learning in Robotics
  28. MarDini: Masked Autoregressive Diffusion for Video Generation at Scale
    2024/10/26 by Haozhe Liu, Liu, Haozhe, Liu, Shikun +26 · 11 citations
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Human Motion and Animation
  29. DeepScores -- A Dataset for Segmentation, Detection and Classification of Tiny Objects
    2018/03/27 by Lukas Tuggener, Ismail Elezi, Tuggener, Lukas +7 · 3 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Handwritten Text Recognition Techniques #Machine Learning (cs.LG) #Music and Audio Processing #Speech and Audio Processing
  30. Measuring Intelligence through Games
    2011/09/06 by Tom Schaul, Julian Togelius, Schaul, Tom +3 · 3 citations
    Computer Science · #Artificial Intelligence in Games #Computability, Logic, AI Algorithms #Evolutionary Algorithms and Applications
  31. The Benefits of Model-Based Generalization in Reinforcement Learning
    2022/11/04 by Kenny Young, Aditya Ramesh, Young, Kenny +5 · 4 citations
    Computer Science · Psychology · #Data Stream Mining Techniques #Mental Health Research Topics #Explainable Artificial Intelligence (XAI)
  32. SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention
    2023/12/13 by Róbert Csordás, Piotr Piękos, Csordás, Róbert +5 · 5 citations
    Engineering · Computer Science · #Ferroelectric and Negative Capacitance Devices #Parallel Computing and Optimization Techniques #Topic Modeling
  33. The Devil is in the Detail: Simple Tricks Improve Systematic\n Generalization of Transformers
    2021/08/26 by Róbert Csordás, Csordás, Róbert, Kazuki Irie +3 · 4 citations
    Computer Science · Physics and Astronomy · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE) #Topic Modeling
  34. Learning to Reason with Third-Order Tensor Products
    2018/11/29 by Imanol Schlag, Jürgen Schmidhuber, Schlag, Imanol +1 · 4 citations
    Computer Science · #Computational Physics and Python Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Neural and Evolutionary Computing (cs.NE) #Topic Modeling
  35. Metalearning Continual Learning Algorithms
    2023/12/01 by Kazuki Irie, Irie, Kazuki, Róbert Csordás +3 · 1 voice
    #cs.LG
  36. Binding via Reconstruction Clustering
    2015/11/19 by Klaus Greff, Rupesh K. Srivastava, Greff, Klaus +3 · 2 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Generative Adversarial Networks and Image Synthesis #Cell Image Analysis Techniques #Image and Signal Denoising Methods
  37. Multimodal similarity-preserving hashing
    2012/07/06 by Jonathan Masci, Michael M. Bronstein, Masci, Jonathan +5 · 1 citation
    Computer Science · #Advanced Image and Video Retrieval Techniques #Video Analysis and Summarization #Image Retrieval and Classification Techniques
  38. Are Disentangled Representations Helpful for Abstract Visual Reasoning?
    2019/05/29 by Sjoerd van Steenkiste, van Steenkiste, Sjoerd, Francesco Locatello +5 · 2 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Data Visualization and Analytics #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #I.2.6 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #Software Engineering Research
  39. Practical Computational Power of Linear Transformers and Their Recurrent and Self-Referential Extensions
    2023/10/24 by Kazuki Irie, Irie, Kazuki, Róbert Csordás +3 · 2 citations
    Computer Science · Engineering · #Advanced Neural Network Applications #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Neural Networks and Applications
  40. Efficient Rotation Invariance in Deep Neural Networks through Artificial Mental Rotation
    2023/11/14 by Lukas Tuggener, Tuggener, Lukas, Thilo Stadelmann +3 · 2 citations
    Engineering · Social Sciences · #Spatial Cognition and Navigation #Historical Geography and Cartography #Robotics and Sensor-Based Localization
  41. Reward-Weighted Regression Converges to a Global Optimum
    2021/07/19 by Miroslav Štrupl, Francesco Faccio, Štrupl, Miroslav +7 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · #68T05 #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Gene Regulatory Network Analysis #I.2.6 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Receptor Mechanisms and Signaling #Reinforcement Learning in Robotics
  42. Mixture of Sparse Attention: Content-Based Learnable Sparse Attention via Expert-Choice Routing
    2025/05/01 by Piotr Piękos, Piękos, Piotr, Róbert Csordás +3 · 4 citations
    Computer Science · #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Topic Modeling
  43. Accelerating Neural Self-Improvement via Bootstrapping
    2023/05/02 by Kazuki Irie, Jürgen Schmidhuber, Irie, Kazuki +1 · 1 voice
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling #cs.LG
  44. All You Need Is Supervised Learning: From Imitation Learning to Meta-RL With Upside Down RL
    2022/02/24 by Kai Arulkumaran, Dylan R. Ashley, Arulkumaran, Kai +5 · 1 citation
    Decision Sciences · Computer Science · #Auction Theory and Applications #Reinforcement Learning in Robotics
  45. Upside-Down Reinforcement Learning Can Diverge in Stochastic Environments With Episodic Resets
    2022/05/13 by Miroslav Štrupl, Štrupl, Miroslav, Francesco Faccio +7 · 1 citation
    Computer Science · #68T05 #Advanced Multi-Objective Optimization Algorithms #Artificial Intelligence (cs.AI) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #I.2.6 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
  46. Curious Causality-Seeking Agents Learn Meta Causal World
    2025/06/29 by Zhiyu Zhao, Haoxuan Li, Zhao, Zhiyu +11 · 2 citations
    Computer Science · #Advanced Graph Neural Networks #Applications (stat.AP) #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics
  47. Measuring In-Context Computation Complexity via Hidden State Prediction
    2025/03/17 by Vincent Herrmann, Róbert Csordás, Herrmann, Vincent +3 · 2 voices · 2 citations
    #cs.LG
  48. Decoupling the "What" and "Where" With Polar Coordinate Positional Embeddings
    2025/09/05 by Anand Gopalakrishnan, Robert Csordás, Gopalakrishnan, Anand +6 · 1 voice · 2 citations
    Computer Science · Social Sciences · #Geographic Information Systems Studies #Speech and dialogue systems #cs.AI #cs.CL #cs.LG
  49. Highway Value Iteration Networks
    2024/06/05 by Yuhui Wang, Wang, Yuhui, Weida Li +7 · 1 citation
    Computer Science · Engineering · #Advanced Database Systems and Queries #Traffic Prediction and Management Techniques
  50. Hybrid Advantage Estimation with Unified Critic for VLM Agentic Reinforcement Learning
    2026/07/26 by Wenxuan Zhang, Yuhui Wang, Donggang Jia +5
    #cs.AI
  51. SciDiagramEdit: Learning to Edit Scientific Diagrams from Paper Revisions
    2026/07/16 by Yasheng Sun, Zezi Zeng, Yifan Yang +4
    #cs.CL #cs.AI
  52. Self-State Attacks on Self-Hosted AI Agents: How Far Can OS Defenses Go?
    2026/07/20 by Yimeng Chen, Nathanaël Denis, Roberto Di Pietro +1
    #cs.CR #cs.AI #cs.CL #cs.MA
  53. CORAL: Learning Amyloid Fibril Ligand Docking with Cooperative Binding Rewards
    2026/07/19 by Yasheng Sun, Bohan Li, Youqi Tao +1
    #cs.LG