← Authors

Jürgen Schmidhuber

65 papers · 2002–2025 · 11 conferences · across top CS/AI conferences

Achievements

🗺️ Taxonomy Completionist (11) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (11) 🐝 Cross-Pollinator (12) 🏃 Academic Marathon (23) 🌈 Renaissance Researcher (6) 🌉 Interdisciplinary Bridge 🏠 Conference Loyalist (21) 🌟 Keyword Trendsetter Combo (3) 🤝 Dynamic Duo (13) 👑 Triple Crown 🧬 Topic Evolution 🏆 Keyword Champion 🏆 Grand Slam 🌱 Topic Pioneer 🔬 Deep Specialist (14) 🚀 Conference Pioneer 🔥 Unstoppable (14) ⚡ Prolific Year (12) ❓ The Questioner (2) 💎 Century Club (65) 🗃️ Keyword Collector (205) 📈 Trend Setter

Conferences

NIPS (21) ICML (15) ICLR (12) INTERSPEECH (4) AAAI (3) EMNLP (3) JMLR (3) CVPR (1) ECCV (1) ICCV (1) IJCAI (1)

Top co-authors

Kazuki Irie (13) Róbert Csordás (10) Francesco Faccio (9) Louis Kirsch (7) Sjoerd van Steenkiste (7) Mingchen Zhuge (6) Imanol Schlag (5) Yuhui Wang (5) Qingyuan Wu (4) Michael Wand (4)

Research topics

Computer Vision (1)

Keywords

recurrent neural network (9) neural network (7) reinforcement learning (5) unsupervised learning (5) representation learning (4) language model (4) language modeling (4) long short-term memory (3) image segmentation (3) mixture of expert (3) deep neural network (3) fast weight programmer (3) convolutional neural network (2) continual learning (2) biomedical imaging (2) gradient descent (2) sequence learning (2) image classification (2) deep learning (2) feature learning (2)

Papers

Beyond Outlining: Heterogeneous Recursive Planning for Adaptive Long-form Writing with Language Models EMNLP 2025
Agent-as-a-Judge: Evaluate Agents with Agents ICML 2025
Directly Forecasting Belief for Reinforcement Learning with Delays ICML 2025
Scaling Value Iteration Networks to 5000 Layers for Extreme Long-Term Planning ICML 2025
Fairness Overfitting in Machine Learning: An Information-Theoretic Perspective ICML 2025
Measuring In-Context Computation Complexity via Hidden State Prediction ICML 2025
FACTS: A Factored State-Space Framework for World Modelling ICLR 2025
Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning ICML 2024
MoEUT: Mixture-of-Experts Universal Transformers NIPS 2024
SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention NIPS 2024
Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery NIPS 2024
Tune-An-Ellipse: CLIP Has Potential to Find What You Want CVPR 2024
Goldfish: Vision-Language Understanding of Arbitrarily Long Videos ECCV 2024
Exploring the Promise and Limits of Real-Time Recurrent Learning ICLR 2024
MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework ICLR 2024
Learning Useful Representations of Recurrent Neural Network Weight Matrices ICML 2024
Highway Value Iteration Networks ICML 2024
Boosting Reinforcement Learning with Strongly Delayed Feedback Through Auxiliary Short Delays ICML 2024
GPTSwarm: Language Agents as Optimizable Graphs ICML 2024
Images as Weight Matrices: Sequential Image Generation Through Synaptic Learning Rules ICLR 2023
The Benefits of Model-Based Generalization in Reinforcement Learning ICML 2023
Goal-Conditioned Generators of Deep Policies AAAI 2023
Contrastive Training of Complex-Valued Autoencoders for Object Discovery NIPS 2023
Practical Computational Power of Linear Transformers and Their Recurrent and Self-Referential Extensions EMNLP 2023
Approximating Two-Layer Feedforward Networks for Efficient Transformers EMNLP 2023
Learning to Identify Critical States for Reinforcement Learning from Videos ICCV 2023
A Modern Self-Referential Weight Matrix That Learns to Modify Itself ICML 2022
Reward-Weighted Regression Converges to a Global Optimum AAAI 2022
The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns via Spotlights of Attention ICML 2022
Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules NIPS 2022
The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization ICLR 2022
Exploring through Random Curiosity with General Value Functions NIPS 2022
Linear Transformers Are Secretly Fast Weight Programmers ICML 2021
Learning Associative Inference Using Fast Weight Memory ICLR 2021
Parameter-Based Value Functions ICLR 2021
Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks ICLR 2021
Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling ICLR 2021
Unsupervised Object Keypoint Learning using Local Spatial Predictability ICLR 2021
Going Beyond Linear Transformers with Recurrent Fast Weight Programmers NIPS 2021
Hierarchical Relational Inference AAAI 2021
Meta Learning Backpropagation And Improving It NIPS 2021
Fusion Architectures for Word-Based Audiovisual Speech Recognition INTERSPEECH 2020
Hindsight policy gradients ICLR 2019
Are Disentangled Representations Helpful for Abstract Visual Reasoning? NIPS 2019
Learning to Reason with Third Order Tensor Products NIPS 2018
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions ICLR 2018
Domain-Adversarial Training for Session Independent EMG-based Speech Recognition INTERSPEECH 2018
Recurrent World Models Facilitate Policy Evolution NIPS 2018
Improving Speaker-Independent Lipreading with Domain-Adversarial Training INTERSPEECH 2017
Neural Expectation Maximization NIPS 2017
Recurrent Highway Networks ICML 2017
Tagger: Deep Unsupervised Perceptual Grouping NIPS 2016
Deep Neural Network Frontend for Continuous EMG-Based Speech Recognition INTERSPEECH 2016
Training Very Deep Networks NIPS 2015
Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation NIPS 2015
Deep Networks with Internal Selective Attention through Feedback Connections NIPS 2014
Natural Evolution Strategies JMLR 2014
Compete to Compute NIPS 2013
Upper Confidence Weighted Learning for Efficient Exploration in Multiclass Prediction with Binary Feedback IJCAI 2013
Deep Neural Networks Segment Neuronal Membranes in Electron Microscopy Images NIPS 2012
Improving the Asymptotic Performance of Markov Chain Monte-Carlo by Inserting Vortices NIPS 2010
Accelerated Neural Evolution through Cooperatively Coevolved Synapses JMLR 2008
Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks NIPS 2008
Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks NIPS 2007
Learning Precise Timing with LSTM Recurrent Networks JMLR 2002