Jürgen Schmidhuber

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 164

Top Venues

Technical University Munich, Germany (PHD)

Education History

Technical University Munich, Germany

PHD

Publications

Kazuki Irie, Anand Gopalakrishnan, Jürgen Schmidhuber
Exploring the Promise and Limits of Real-Time Recurrent Learning. ICLR (2024)
Vincent Herrmann, Francesco Faccio, Jürgen Schmidhuber
Learning Useful Representations of Recurrent Neural Network Weight Matrices. CoRR (2024)
Wentian Zhang, Haozhe Liu, Jinheng Xie, Francesco Faccio, Mike Zheng Shou, Jürgen Schmidhuber
Cross-Attention Makes Inference Cumbersome in Text-to-Image Diffusion Models. CoRR (2024)
Yuhui Wang, Qingyuan Wu, Weida Li, Dylan R. Ashley, Francesco Faccio, Chao Huang, Jürgen Schmidhuber
Scaling Value Iteration Networks to 5000 Layers for Extreme Long-Term Planning. CoRR (2024)
Aditya A. Ramesh, Kenny Young, Louis Kirsch, Jürgen Schmidhuber
Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning. CoRR (2024)
Róbert Csordás, Kazuki Irie, Jürgen Schmidhuber, Christopher Potts, Christopher D. Manning
MoEUT: Mixture-of-Experts Universal Transformers. CoRR (2024)
Kirolos Ataallah, Xiaoqian Shen, Eslam Abdelrahman, Essam Sleiman, Mingchen Zhuge, Jian Ding, Deyao Zhu, Jürgen Schmidhuber, Mohamed Elhoseiny
Goldfish: Vision-Language Understanding of Arbitrarily Long Videos. CoRR (2024)
Mohannad Alhakami, Dylan R. Ashley, Joel Dunham, Francesco Faccio, Eric Feron, Jürgen Schmidhuber
Towards a Robust Soft Baby Robot With Rich Interaction Ability for Advanced Machine Learning Algorithms. CoRR (2024)
Renzo Caballero, Piotr Piekos, Eric Feron, Jürgen Schmidhuber
Utilizing a Malfunctioning 3D Printer by Modeling Its Dynamics with Machine Learning. ICRA (2024)
Yuhui Wang, Weida Li, Francesco Faccio, Qingyuan Wu, Jürgen Schmidhuber
Highway Value Iteration Networks. CoRR (2024)
Mingchen Zhuge, Wenyi Wang, Louis Kirsch, Francesco Faccio, Dmitrii Khizbullin, Jürgen Schmidhuber
Language Agents as Optimizable Graphs. CoRR (2024)
Anand Gopalakrishnan, Aleksandar Stanic, Jürgen Schmidhuber, Michael Curtis Mozer
Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery. CoRR (2024)
Sirui Hong, Mingchen Zhuge, Jonathan Chen, Xiawu Zheng, Yuheng Cheng, Jinlin Wang, Ceyao Zhang, Zili Wang, Steven Ka Shing Yau, Zijuan Lin, Liyang Zhou, Chenyu Ran, Lingfeng Xiao, Chenglin Wu, Jürgen Schmidhuber
MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework. ICLR (2024)
Lukas Tuggener, Raphael Emberger, Adhiraj Ghosh, Pascal Sager, Yvan Putra Satyawan, Javier A. Montoya-Zegarra, Simon Goldschagg, Florian Seibold, Urs Gut, Philipp Ackermann, Jürgen Schmidhuber, Thilo Stadelmann
Real World Music Object Recognition. Trans. Int. Soc. Music. Inf. Retr. 7 (1) (2024)
Haozhe Liu, Wentian Zhang, Bing Li, Bernard Ghanem, Jürgen Schmidhuber
Lazy Layers to Make Fine-Tuned Diffusion Models More Traceable. CoRR (2024)
Aleksandar Stanic, Yujin Tang, David Ha, Jürgen Schmidhuber
Learning to Generalize With Object-Centric Agents in the Open World Survival Game Crafter. IEEE Trans. Games 16 (2) (2024)
Mikhail Andronov, Natalia Andronova, Michael Wand, Jürgen Schmidhuber, Djork-Arné Clevert
Accelerating the inference of string generation-based chemical reaction models for industrial applications. CoRR (2024)
Xiuying Chen, Tairan Wang, Taicheng Guo, Kehan Guo, Juexiao Zhou, Haoyang Li, Mingchen Zhuge, Jürgen Schmidhuber, Xin Gao, Xiangliang Zhang
ScholarChemQA: Unveiling the Power of Language Models in Chemical Research Question Answering. CoRR (2024)
Yuhui Wang, Miroslav Strupl, Francesco Faccio, Qingyuan Wu, Haozhe Liu, Michal Grudzien, Xiaoyang Tan, Jürgen Schmidhuber
Highway Reinforcement Learning. CoRR (2024)
Vincent Herrmann, Louis Kirsch, Jürgen Schmidhuber
Learning One Abstract Bit at a Time Through Self-invented Experiments Encoded as Neural Networks. IWAI (2023)
Kazuki Irie, Jürgen Schmidhuber
Accelerating Neural Self-Improvement via Bootstrapping. CoRR (2023)
Joonsu Gha, Vincent Herrmann, Benjamin Grewe, Jürgen Schmidhuber, Anand Gopalakrishnan
Unsupervised Musical Object Discovery from Audio. CoRR (2023)
Kazuki Irie, Róbert Csordás, Jürgen Schmidhuber
Topological Neural Discrete Representation Learning à la Kohonen. CoRR (2023)
Kazuki Irie, Róbert Csordás, Jürgen Schmidhuber
Practical Computational Power of Linear Transformers and Their Recurrent and Self-Referential Extensions. EMNLP (2023)
Aleksandar Stanic, Anand Gopalakrishnan, Kazuki Irie, Jürgen Schmidhuber
Contrastive Training of Complex-Valued Autoencoders for Object Discovery. NeurIPS (2023)
Francesco Faccio, Vincent Herrmann, Aditya Ramesh, Louis Kirsch, Jürgen Schmidhuber
Goal-Conditioned Generators of Deep Policies. AAAI (2023)
Róbert Csordás, Piotr Piekos, Kazuki Irie, Jürgen Schmidhuber
SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention. CoRR (2023)
Haozhe Liu, Mingchen Zhuge, Bing Li, Yuhui Wang, Francesco Faccio, Bernard Ghanem, Jürgen Schmidhuber
Learning to Identify Critical States for Reinforcement Learning from Videos. CoRR (2023)
Róbert Csordás, Kazuki Irie, Jürgen Schmidhuber
Approximating Two-Layer Feedforward Networks for Efficient Transformers. CoRR (2023)
Anand Gopalakrishnan, Kazuki Irie, Jürgen Schmidhuber, Sjoerd van Steenkiste
Unsupervised Learning of Temporal Abstractions With Slot-Based Transformers. Neural Comput. 35 (4) (2023)
Kazuki Irie, Róbert Csordás, Jürgen Schmidhuber
Practical Computational Power of Linear Transformers and Their Recurrent and Self-Referential Extensions. CoRR (2023)
Imanol Schlag, Sainbayar Sukhbaatar, Asli Celikyilmaz, Wen-tau Yih, Jason Weston, Jürgen Schmidhuber, Xian Li
Large Language Model Programs. CoRR (2023)
Lukas Tuggener, Thilo Stadelmann, Jürgen Schmidhuber
Efficient Rotation Invariance in Deep Neural Networks through Artificial Mental Rotation. CoRR (2023)
Kazuki Irie, Anand Gopalakrishnan, Jürgen Schmidhuber
Exploring the Promise and Limits of Real-Time Recurrent Learning. CoRR (2023)
Róbert Csordás, Kazuki Irie, Jürgen Schmidhuber
Approximating Two-Layer Feedforward Networks for Efficient Transformers. EMNLP (Findings) (2023)
Mingchen Zhuge, Haozhe Liu, Francesco Faccio, Dylan R. Ashley, Róbert Csordás, Anand Gopalakrishnan, Abdullah Hamdi, Hasan Abed Al Kader Hammoud, Vincent Herrmann, Kazuki Irie, Louis Kirsch, Bing Li, Guohao Li, Shuming Liu, Jinjie Mai, Piotr Piekos, Aditya Ramesh, Imanol Schlag, Weimin Shi, Aleksandar Stanic, Wenyi Wang, Yuhui Wang, Mengmeng Xu, Deng-Ping Fan, Bernard Ghanem, Jürgen Schmidhuber
Mindstorms in Natural Language-Based Societies of Mind. CoRR (2023)
Kazuki Irie, Róbert Csordás, Jürgen Schmidhuber
Automating Continual Learning. CoRR (2023)
Aleksandar Stanic, Dylan R. Ashley, Oleg Serikov, Louis Kirsch, Francesco Faccio, Jürgen Schmidhuber, Thomas Hofmann, Imanol Schlag
The Languini Kitchen: Enabling Language Modelling Research at Different Scales of Compute. CoRR (2023)
Haozhe Liu, Mingchen Zhuge, Bing Li, Yuhui Wang, Francesco Faccio, Bernard Ghanem, Jürgen Schmidhuber
Learning to Identify Critical States for Reinforcement Learning from Videos. ICCV (2023)
Kenny John Young, Aditya Ramesh, Louis Kirsch, Jürgen Schmidhuber
The Benefits of Model-Based Generalization in Reinforcement Learning. ICML (2023)
Aleksandar Stanic, Anand Gopalakrishnan, Kazuki Irie, Jürgen Schmidhuber
Contrastive Training of Complex-Valued Autoencoders for Object Discovery. CoRR (2023)
Kazuki Irie, Jürgen Schmidhuber
Images as Weight Matrices: Sequential Image Generation Through Synaptic Learning Rules. ICLR (2023)
Deyao Zhu, Yuhui Wang, Jürgen Schmidhuber, Mohamed Elhoseiny
Guiding Online Reinforcement Learning with Action-Free Offline Pretraining. CoRR (2023)
Francesco Faccio, Vincent Herrmann, Aditya Ramesh, Louis Kirsch, Jürgen Schmidhuber
Goal-Conditioned Generators of Deep Policies. CoRR (2022)
Dylan R. Ashley, Vincent Herrmann, Zachary Friggstad, Jürgen Schmidhuber
On Narrative Information and the Distillation of Stories. CoRR (2022)
Kenny Young, Aditya Ramesh, Louis Kirsch, Jürgen Schmidhuber
The Benefits of Model-Based Generalization in Reinforcement Learning. CoRR (2022)
Kazuki Irie, Róbert Csordás, Jürgen Schmidhuber
The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns via Spotlights of Attention. CoRR (2022)
Louis Kirsch, Jürgen Schmidhuber
Eliminating Meta Optimization Through Self-Referential Meta Learning. CoRR (2022)
Róbert Csordás, Kazuki Irie, Jürgen Schmidhuber
CTL++: Evaluating Generalization on Never-Seen Compositional Patterns of Known Functions, and Compatibility of Neural Representations. EMNLP (2022)
Aleksandar Stanic, Yujin Tang, David Ha, Jürgen Schmidhuber
Learning to Generalize with Object-centric Agents in the Open World Survival Game Crafter. CoRR (2022)
Vincent Herrmann, Louis Kirsch, Jürgen Schmidhuber
Learning One Abstract Bit at a Time Through Self-Invented Experiments Encoded as Neural Networks. CoRR (2022)
Kai Arulkumaran, Dylan R. Ashley, Jürgen Schmidhuber, Rupesh Kumar Srivastava
All You Need Is Supervised Learning: From Imitation Learning to Meta-RL With Upside Down RL. CoRR (2022)
Aditya Ramesh, Paulo E. Rauber, Michelangelo Conserva, Jürgen Schmidhuber
Recurrent Neural-Linear Posterior Sampling for Nonstationary Contextual Bandits. Neural Comput. 34 (11) (2022)
Anand Gopalakrishnan, Kazuki Irie, Jürgen Schmidhuber, Sjoerd van Steenkiste
Unsupervised Learning of Temporal Abstractions with Slot-based Transformers. CoRR (2022)
Kazuki Irie, Francesco Faccio, Jürgen Schmidhuber
Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules. CoRR (2022)
Kazuki Irie, Francesco Faccio, Jürgen Schmidhuber
Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules. NeurIPS (2022)
Miroslav Strupl, Francesco Faccio, Dylan R. Ashley, Jürgen Schmidhuber, Rupesh Kumar Srivastava
Upside-Down Reinforcement Learning Can Diverge in Stochastic Environments With Episodic Resets. CoRR (2022)
Róbert Csordás, Kazuki Irie, Jürgen Schmidhuber
CTL++: Evaluating Generalization on Never-Seen Compositional Patterns of Known Functions, and Compatibility of Neural Representations. CoRR (2022)
Lukas Tuggener, Jürgen Schmidhuber, Thilo Stadelmann
Is it enough to optimize CNN architectures on ImageNet? Frontiers Comput. Sci. 4 (2022)
Kazuki Irie, Róbert Csordás, Jürgen Schmidhuber
The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns via Spotlights of Attention. ICML (2022)
Francesco Faccio, Aditya Ramesh, Vincent Herrmann, Jean Harb, Jürgen Schmidhuber
General Policy Evaluation and Improvement by Learning to Identify Few But Crucial States. CoRR (2022)
Aditya Ramesh, Louis Kirsch, Sjoerd van Steenkiste, Jürgen Schmidhuber
Exploring through Random Curiosity with General Value Functions. NeurIPS (2022)
Kazuki Irie, Imanol Schlag, Róbert Csordás, Jürgen Schmidhuber
A Modern Self-Referential Weight Matrix That Learns to Modify Itself. ICML (2022)
Kazuki Irie, Imanol Schlag, Róbert Csordás, Jürgen Schmidhuber
A Modern Self-Referential Weight Matrix That Learns to Modify Itself. CoRR (2022)
Dylan R. Ashley, Kai Arulkumaran, Jürgen Schmidhuber, Rupesh Kumar Srivastava
Learning Relative Return Policies With Upside-Down Reinforcement Learning. CoRR (2022)
Michael Wand, Morten B. Kristoffersen, Andreas W. Franzke, Jürgen Schmidhuber
Analysis of Neural Network Based Proportional Myoelectric Hand Prosthesis Control. IEEE Trans. Biomed. Eng. 69 (7) (2022)
Aditya Ramesh, Louis Kirsch, Sjoerd van Steenkiste, Jürgen Schmidhuber
Exploring through Random Curiosity with General Value Functions. CoRR (2022)
Jürgen Schmidhuber
Annotated History of Modern AI and Deep Learning. CoRR (2022)
Róbert Csordás, Kazuki Irie, Jürgen Schmidhuber
The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization. ICLR (2022)
Noor Sajid, Francesco Faccio, Lancelot Da Costa, Thomas Parr, Jürgen Schmidhuber, Karl J. Friston
Bayesian Brains and the Rényi Divergence. Neural Comput. 34 (4) (2022)
Miroslav Strupl, Francesco Faccio, Dylan R. Ashley, Rupesh Kumar Srivastava, Jürgen Schmidhuber
Reward-Weighted Regression Converges to a Global Optimum. AAAI (2022)
Kazuki Irie, Jürgen Schmidhuber
Learning to Control Rapidly Changing Synaptic Connections: An Alternative Type of Memory in Sequence Processing Artificial Neural Networks. CoRR (2022)
Kazuki Irie, Jürgen Schmidhuber
Images as Weight Matrices: Sequential Image Generation Through Synaptic Learning Rules. CoRR (2022)
Aleksandar Stanic, Sjoerd van Steenkiste, Jürgen Schmidhuber
Hierarchical Relational Inference. AAAI (2021)
Ðorðe Miladinovic, Aleksandar Stanic, Stefan Bauer, Jürgen Schmidhuber, Joachim M. Buhmann
Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling. ICLR (2021)
Kazuki Irie, Jürgen Schmidhuber
Training and Generating Neural Networks in Compressed Weight Space. CoRR (2021)
Róbert Csordás, Sjoerd van Steenkiste, Jürgen Schmidhuber
Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks. ICLR (2021)
Róbert Csordás, Kazuki Irie, Jürgen Schmidhuber
The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization. CoRR (2021)
Miroslav Strupl, Francesco Faccio, Dylan R. Ashley, Rupesh Kumar Srivastava, Jürgen Schmidhuber
Reward-Weighted Regression Converges to a Global Optimum. CoRR (2021)
Imanol Schlag, Kazuki Irie, Jürgen Schmidhuber
Linear Transformers Are Secretly Fast Weight Programmers. ICML (2021)
Louis Kirsch, Jürgen Schmidhuber
Meta Learning Backpropagation And Improving It. NeurIPS (2021)
Róbert Csordás, Kazuki Irie, Jürgen Schmidhuber
The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers. EMNLP (1) (2021)
Krsto Prorokovic, Michael Wand, Jürgen Schmidhuber
Improving Stateful Premise Selection with Transformers. CICM (2021)
Kazuki Irie, Imanol Schlag, Róbert Csordás, Jürgen Schmidhuber
Improving Baselines in the Wild. CoRR (2021)
Paulo E. Rauber, Avinash Ummadisingu, Filipe Mutz, Jürgen Schmidhuber
Reinforcement Learning in Sparse-Reward Environments With Hindsight Policy Gradients. Neural Comput. 33 (6) (2021)
Lukas Tuggener, Jürgen Schmidhuber, Thilo Stadelmann
Is it Enough to Optimize CNN Architectures on ImageNet? CoRR (2021)
Anand Gopalakrishnan, Sjoerd van Steenkiste, Jürgen Schmidhuber
Unsupervised Object Keypoint Learning using Local Spatial Predictability. ICLR (2021)
Kazuki Irie, Imanol Schlag, Róbert Csordás, Jürgen Schmidhuber
Going Beyond Linear Transformers with Recurrent Fast Weight Programmers. CoRR (2021)
Noor Sajid, Francesco Faccio, Lancelot Da Costa, Thomas Parr, Jürgen Schmidhuber, Karl J. Friston
Bayesian brains and the Rényi divergence. CoRR (2021)
Kazuki Irie, Imanol Schlag, Róbert Csordás, Jürgen Schmidhuber
Going Beyond Linear Transformers with Recurrent Fast Weight Programmers. NeurIPS (2021)
Róbert Csordás, Kazuki Irie, Jürgen Schmidhuber
The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers. CoRR (2021)
Djordje Miladinovic, Aleksandar Stanic, Stefan Bauer, Jürgen Schmidhuber, Joachim M. Buhmann
Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling. CoRR (2021)
Imanol Schlag, Kazuki Irie, Jürgen Schmidhuber
Linear Transformers Are Secretly Fast Weight Memory Systems. CoRR (2021)
Imanol Schlag, Tsendsuren Munkhdalai, Jürgen Schmidhuber
Learning Associative Inference Using Fast Weight Memory. ICLR (2021)
Ariel Ruiz-Garcia, Jürgen Schmidhuber, Vasile Palade, Clive Cheong Took, Danilo P. Mandic
Deep neural network representation and Generative Adversarial Learning. Neural Networks 139 (2021)
Francesco Faccio, Louis Kirsch, Jürgen Schmidhuber
Parameter-Based Value Functions. ICLR (2021)
Dylan R. Ashley, Vincent Herrmann, Zachary Friggstad, Kory W. Mathewson, Jürgen Schmidhuber
Automatic Embedding of Stories Into Collections of Independent Media. CoRR (2021)
Imanol Schlag, Tsendsuren Munkhdalai, Jürgen Schmidhuber
Learning Associative Inference Using Fast Weight Memory. CoRR (2020)
Sjoerd van Steenkiste, Karol Kurach, Jürgen Schmidhuber, Sylvain Gelly
Investigating object compositionality in Generative Adversarial Networks. Neural Networks 130 (2020)
Matteo Riva, Michael Wand, Jürgen Schmidhuber
Motion Dynamics Improve Speaker-Independent Lipreading. ICASSP (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jürgen Schmidhuber