Schmidhuber, Jürgen
King Abdullah University of Science and Technology
33 papers on CoChatORCID 0000-0002-1468-6758
Most cited papers
- Verified
Mindstorms in Natural Language-Based Societies of Mind
Zhuge, M., Liu, H., Faccio, F., Ashley, D. R., Csordás, R., Gopalakrishnan, A., Hamdi, A., Hammoud, H. A. A. K., Herrmann, V., Irie, K., et al. (2025) · Computational Visual Media
Multimodal Machine Learning ApplicationsMulti-Agent Systems and Negotiation
Cited by 24
- Verified
Meta Learning Backpropagation And Improving It
Kirsch, L., & Schmidhuber, J. (2020) · arXiv
Neural Networks and ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 19
- Verified
Going Beyond Linear Transformers with Recurrent Fast Weight Programmers
Irie, K., Schlag, I., Csordás, R., & Schmidhuber, J. (2021) · arXiv
Topic ModelingNeural Networks and Applications
Cited by 14
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The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns via Spotlights of Attention
Irie, K., Csordás, R., & Schmidhuber, J. (2022) · arXiv
Explainable Artificial Intelligence (XAI)Domain Adaptation and Few-Shot Learning
Cited by 6
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Agent-as-a-Judge: Evaluate Agents with Agents
Zhuge, M., Zhao, C., Ashley, D., Wang, W., Khizbullin, D., Xiong, Y., Liu, Z., Chang, E., Krishnamoorthi, R., Tian, Y., et al. (2024) · arXiv
Software Engineering ResearchAI-based Problem Solving and Planning
Cited by 5
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Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules
Irie, K., Faccio, F., & Schmidhuber, J. (2022) · arXiv
Neural Networks and ApplicationsNumerical Solvers for Ordinary Differential Equations
Cited by 5
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Language Agents as Optimizable Graphs
Zhuge, M., Wang, W., Kirsch, L., Faccio, F., Khizbullin, D., & Schmidhuber, J. (2024) · arXiv
Natural Language Processing TechniquesTopic Modeling
Cited by 3
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Practical Computational Power of Linear Transformers and Their Recurrent and Self-Referential Extensions
Irie, K., Csordás, R., & Schmidhuber, J. (2023) · arXiv
semigroups and automata theoryNeural Networks and Applications
Cited by 3
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MarDini: Masked Autoregressive Diffusion for Video Generation at Scale
Liu, H., Liu, S., Zhou, Z., Xu, M., Xie, Y., Han, X., Pérez, J. C., Liu, D., Kahatapitiya, K., Jia, M., et al. (2024) · arXiv
Generative Adversarial Networks and Image SynthesisAdvanced Image Processing Techniques
Cited by 1
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