| 2025 | EMNLP | Beyond Outlining: Heterogeneous Recursive Planning for Adaptive Long-form Writing with Language Models. | Ruibin Xiong, Yimeng Chen, Dmitrii Khizbullin, Mingchen Zhuge, Jrgen Schmidhuber |
| 2025 | ICLR | FACTS: A Factored State-Space Framework for World Modelling. | Nanbo Li, Firas Laakom, Yucheng Xu, Wenyi Wang, Jrgen Schmidhuber |
| 2025 | ICML | Scaling Value Iteration Networks to 5000 Layers for Extreme Long-Term Planning. | Yuhui Wang, Qingyuan Wu, Dylan R. Ashley, Francesco Faccio, Weida Li, Chao Huang, Jrgen Schmidhuber |
| 2025 | ICML | Measuring In-Context Computation Complexity via Hidden State Prediction. | Vincent Herrmann, Rbert Csords, Jrgen Schmidhuber |
| 2025 | ICML | Fairness Overfitting in Machine Learning: An Information-Theoretic Perspective. | Firas Laakom, Haobo Chen, Jrgen Schmidhuber, Yuheng Bu |
| 2025 | ICML | Directly Forecasting Belief for Reinforcement Learning with Delays. | Qingyuan Wu, Yuhui Wang, Simon Sinong Zhan, Yixuan Wang, Chung-Wei Lin, Chen Lv, Qi Zhu, Jrgen Schmidhuber, Chao Huang |
| 2025 | ICML | Agent-as-a-Judge: Evaluate Agents with Agents. | Mingchen Zhuge, Changsheng Zhao, Dylan R. Ashley, Wenyi Wang, Dmitrii Khizbullin, Yunyang Xiong, Zechun Liu, Ernie Chang, Raghuraman Krishnamoorthi, Yuandong Tian, Yangyang Shi, Vikas Chandra, Jrgen Schmidhuber |
| 2025 | IROS | Towards an Extremely Robust Baby Robot With Rich Interaction Ability for Advanced Machine Learning Algorithms. | Mohannad Alhakami, Dylan R. Ashley, Joel Dunham, Yanning Dai, Francesco Faccio, Eric Feron, Jrgen Schmidhuber |
| 2025 | WWW | Falling Walls, WWW, Modern AI, and the Future of the Universe. | Jrgen Schmidhuber |
| 2024 | CVPR | Tune-an-Ellipse: CLIP Has Potential to Find what you Want. | Jinheng Xie, Songhe Deng, Bing Li, Haozhe Liu, Yawen Huang, Yefeng Zheng, Jrgen Schmidhuber, Bernard Ghanem, Linlin Shen, Mike Zheng Shou |
| 2024 | DATA | Past, Present, Future, and Far Future of AI. | Jrgen Schmidhuber |
| 2024 | ECCV | Goldfish: Vision-Language Understanding of Arbitrarily Long Videos. | Kirolos Ataallah, Xiaoqian Shen, Eslam Abdelrahman, Essam Sleiman, Mingchen Zhuge, Jian Ding, Deyao Zhu, Jrgen Schmidhuber, Mohamed Elhoseiny |
| 2024 | ICANN | Curating Reagents in Chemical Reaction Data with an Interactive Reagent Space Map. | Mikhail Andronov, Natalia Andronova, Michael Wand, Jrgen Schmidhuber, Djork-Arn Clevert |
| 2024 | ICANN | Self-organising Neural Discrete Representation Learning la Kohonen. | Kazuki Irie, Rbert Csords, Jrgen Schmidhuber |
| 2024 | ICLR | MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework. | 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, Jrgen Schmidhuber |
| 2024 | ICLR | Exploring the Promise and Limits of Real-Time Recurrent Learning. | Kazuki Irie, Anand Gopalakrishnan, Jrgen Schmidhuber |
| 2024 | ICML | Learning Useful Representations of Recurrent Neural Network Weight Matrices. | Vincent Herrmann, Francesco Faccio, Jrgen Schmidhuber |
| 2024 | ICML | Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning. | Aditya A. Ramesh, Kenny John Young, Louis Kirsch, Jrgen Schmidhuber |
| 2024 | ICML | Highway Value Iteration Networks. | Yuhui Wang, Weida Li, Francesco Faccio, Qingyuan Wu, Jrgen Schmidhuber |
| 2024 | ICML | Boosting Reinforcement Learning with Strongly Delayed Feedback Through Auxiliary Short Delays. | Qingyuan Wu, Simon Sinong Zhan, Yixuan Wang, Yuhui Wang, Chung-Wei Lin, Chen Lv, Qi Zhu, Jrgen Schmidhuber, Chao Huang |
| 2024 | ICML | GPTSwarm: Language Agents as Optimizable Graphs. | Mingchen Zhuge, Wenyi Wang, Louis Kirsch, Francesco Faccio, Dmitrii Khizbullin, Jrgen Schmidhuber |
| 2024 | ICRA | Utilizing a Malfunctioning 3D Printer by Modeling Its Dynamics with Machine Learning. | Renzo Caballero, Piotr Piekos, Eric Feron, Jrgen Schmidhuber |
| 2024 | ICSoft | Past, Present, Future, and Far Future of AI. | Jrgen Schmidhuber |
| 2023 | AAAI | Goal-Conditioned Generators of Deep Policies. | Francesco Faccio, Vincent Herrmann, Aditya A. Ramesh, Louis Kirsch, Jrgen Schmidhuber |
| 2023 | EMNLP | Approximating Two-Layer Feedforward Networks for Efficient Transformers. | Rbert Csords, Kazuki Irie, Jrgen Schmidhuber |
| 2023 | EMNLP | Practical Computational Power of Linear Transformers and Their Recurrent and Self-Referential Extensions. | Kazuki Irie, Rbert Csords, Jrgen Schmidhuber |
| 2023 | ICCV | Learning to Identify Critical States for Reinforcement Learning from Videos. | Haozhe Liu, Mingchen Zhuge, Bing Li, Yuhui Wang, Francesco Faccio, Bernard Ghanem, Jrgen Schmidhuber |
| 2023 | ICLR | Images as Weight Matrices: Sequential Image Generation Through Synaptic Learning Rules. | Kazuki Irie, Jrgen Schmidhuber |
| 2023 | ICML | The Benefits of Model-Based Generalization in Reinforcement Learning. | Kenny John Young, Aditya A. Ramesh, Louis Kirsch, Jrgen Schmidhuber |
| 2022 | AAAI | Reward-Weighted Regression Converges to a Global Optimum. | Miroslav Strupl, Francesco Faccio, Dylan R. Ashley, Rupesh Kumar Srivastava, Jrgen Schmidhuber |
| 2022 | EMNLP | CTL++: Evaluating Generalization on Never-Seen Compositional Patterns of Known Functions, and Compatibility of Neural Representations. | Rbert Csords, Kazuki Irie, Jrgen Schmidhuber |
| 2022 | ICLR | The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization. | Rbert Csords, Kazuki Irie, Jrgen Schmidhuber |
| 2022 | ICML | The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns via Spotlights of Attention. | Kazuki Irie, Rbert Csords, Jrgen Schmidhuber |
| 2022 | ICML | A Modern Self-Referential Weight Matrix That Learns to Modify Itself. | Kazuki Irie, Imanol Schlag, Rbert Csords, Jrgen Schmidhuber |
| 2021 | AAAI | Hierarchical Relational Inference. | Aleksandar Stanic, Sjoerd van Steenkiste, Jrgen Schmidhuber |
| 2021 | EMNLP | The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers. | Rbert Csords, Kazuki Irie, Jrgen Schmidhuber |
| 2021 | ICLR | Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks. | Rbert Csords, Sjoerd van Steenkiste, Jrgen Schmidhuber |
| 2021 | ICLR | Parameter-Based Value Functions. | Francesco Faccio, Louis Kirsch, Jrgen Schmidhuber |
| 2021 | ICLR | Unsupervised Object Keypoint Learning using Local Spatial Predictability. | Anand Gopalakrishnan, Sjoerd van Steenkiste, Jrgen Schmidhuber |
| 2021 | ICLR | Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling. | ore Miladinovic, Aleksandar Stanic, Stefan Bauer, Jrgen Schmidhuber, Joachim M. Buhmann |
| 2021 | ICLR | Learning Associative Inference Using Fast Weight Memory. | Imanol Schlag, Tsendsuren Munkhdalai, Jrgen Schmidhuber |
| 2021 | ICML | Linear Transformers Are Secretly Fast Weight Programmers. | Imanol Schlag, Kazuki Irie, Jrgen Schmidhuber |
| 2020 | ICASSP | Motion Dynamics Improve Speaker-Independent Lipreading. | Matteo Riva, Michael Wand, Jrgen Schmidhuber |
| 2020 | ICLR | Improving Generalization in Meta Reinforcement Learning using Learned Objectives. | Louis Kirsch, Sjoerd van Steenkiste, Jrgen Schmidhuber |
| 2020 | ICPR | The DeepScoresV2 Dataset and Benchmark for Music Object Detection. | Lukas Tuggener, Yvan Putra Satyawan, Alexander Pacha, Jrgen Schmidhuber, Thilo Stadelmann |
| 2020 | Interspeech | Fusion Architectures for Word-Based Audiovisual Speech Recognition. | Michael Wand, Jrgen Schmidhuber |
| 2019 | ICLR | Improving Differentiable Neural Computers Through Memory Masking, De-allocation, and Link Distribution Sharpness Control. | Rbert Csords, Jrgen Schmidhuber |
| 2019 | ICLR | Hindsight policy gradients. | Paulo E. Rauber, Avinash Ummadisingu, Filipe Mutz, Jrgen Schmidhuber |
| 2018 | ICASSP | Investigations on End- to-End Audiovisual Fusion. | Michael Wand, Jrgen Schmidhuber, Ngoc Thang Vu |
| 2018 | ICLR | Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions. | Sjoerd van Steenkiste, Michael Chang, Klaus Greff, Jrgen Schmidhuber |
| 2018 | ICPR | DeepScores-A Dataset for Segmentation, Detection and Classification of Tiny Objects. | Lukas Tuggener, Ismail Elezi, Jrgen Schmidhuber, Marcello Pelillo, Thilo Stadelmann |
| 2018 | Interspeech | Domain-Adversarial Training for Session Independent EMG-based Speech Recognition. | Michael Wand, Tanja Schultz, Jrgen Schmidhuber |
| 2017 | ICLR | Highway and Residual Networks learn Unrolled Iterative Estimation. | Klaus Greff, Rupesh Kumar Srivastava, Jrgen Schmidhuber |
| 2017 | ICLR | Neural Expectation Maximization. | Klaus Greff, Sjoerd van Steenkiste, Jrgen Schmidhuber |
| 2017 | ICML | Recurrent Highway Networks. | Julian Georg Zilly, Rupesh Kumar Srivastava, Jan Koutnk, Jrgen Schmidhuber |
| 2017 | Interspeech | Improving Speaker-Independent Lipreading with Domain-Adversarial Training. | Michael Wand, Jrgen Schmidhuber |
| 2016 | GECCO | A Wavelet-based Encoding for Neuroevolution. | Sjoerd van Steenkiste, Jan Koutnk, Kurt Driessens, Jrgen Schmidhuber |
| 2016 | ICASSP | Lipreading with long short-term memory. | Michael Wand, Jan Koutnk, Jrgen Schmidhuber |
| 2016 | Interspeech | Deep Neural Network Frontend for Continuous EMG-Based Speech Recognition. | Michael Wand, Jrgen Schmidhuber |
| 2014 | GECCO | Evolving deep unsupervised convolutional networks for vision-based reinforcement learning. | Jan Koutnk, Jrgen Schmidhuber, Faustino J. Gomez |
| 2014 | HRI | Human-robot cooperation: fast, interactive learning from binary feedback. | Jawad Nagi, Hung Quoc Ngo, Jrgen Schmidhuber, Luca Maria Gambardella, Gianni A. Di Caro |
| 2014 | ICINCO | Reactive Reaching and Grasping on a Humanoid - Towards Closing the Action-Perception Loop on the iCub. | Jrgen Leitner, Mikhail Frank, Alexander Frster, Jrgen Schmidhuber |
| 2014 | ICML | A Clockwork RNN. | Jan Koutnk, Klaus Greff, Faustino J. Gomez, Jrgen Schmidhuber |
| 2014 | IJCNN | Explore to see, learn to perceive, get the actions for free: SKILLABILITY. | Varun Raj Kompella, Marijn F. Stollenga, Matthew D. Luciw, Jrgen Schmidhuber |
| 2014 | IJCNN | Improving robot vision models for object detection through interaction. | Jrgen Leitner, Alexander Frster, Jrgen Schmidhuber |
| 2014 | MICCAI | Candidate Sampling for Neuron Reconstruction from Anisotropic Electron Microscopy Volumes. | Jan Funke, Julien N. P. Martel, Stephan Gerhard, Bjrn Andres, Dan C. Ciresan, Alessandro Giusti, Luca Maria Gambardella, Jrgen Schmidhuber, Hanspeter Pfister, Albert Cardona, Matthew Cook |
| 2013 | CEC | Humanoid learns to detect its own hands. | Jrgen Leitner, Simon Harding, Mikhail Frank, Alexander Frster, Jrgen Schmidhuber |
| 2013 | FDG | Evolving large-scale neural networks for vision-based TORCS. | Jan Koutnk, Giuseppe Cuccu, Jrgen Schmidhuber, Faustino J. Gomez |
| 2013 | GECCO | Evolving large-scale neural networks for vision-based reinforcement learning. | Jan Koutnk, Giuseppe Cuccu, Jrgen Schmidhuber, Faustino J. Gomez |
| 2013 | GECCO | A linear time natural evolution strategy for non-separable functions. | Yi Sun, Tom Schaul, Faustino J. Gomez, Jrgen Schmidhuber |
| 2013 | ICIP | Fast image scanning with deep max-pooling convolutional neural networks. | Alessandro Giusti, Dan C. Ciresan, Jonathan Masci, Luca Maria Gambardella, Jrgen Schmidhuber |
| 2013 | ICIP | A fast learning algorithm for image segmentation with max-pooling convolutional networks. | Jonathan Masci, Alessandro Giusti, Dan C. Ciresan, Gabriel Fricout, Jrgen Schmidhuber |
| 2013 | IJCAI | Upper Confidence Weighted Learning for Efficient Exploration in Multiclass Prediction with Binary Feedback. | Hung Quoc Ngo, Matthew David Luciw, Ngo Anh Vien, Jrgen Schmidhuber |
| 2013 | IJCNN | Artificial neural networks for spatial perception: Towards visual object localisation in humanoid robots. | Jrgen Leitner, Simon Harding, Mikhail Frank, Alexander Frster, Jrgen Schmidhuber |
| 2013 | IJCNN | Multi-scale pyramidal pooling network for generic steel defect classification. | Jonathan Masci, Ueli Meier, Gabriel Fricout, Jrgen Schmidhuber |
| 2013 | IROS | Task-relevant roadmaps: A framework for humanoid motion planning. | Marijn F. Stollenga, Leo Pape, Mikhail Frank, Jrgen Leitner, Alexander Frster, Jrgen Schmidhuber |
| 2013 | ISMM | A Learning Framework for Morphological Operators Using Counter-Harmonic Mean. | Jonathan Masci, Jess Angulo, Jrgen Schmidhuber |
| 2013 | MICCAI | Mitosis Detection in Breast Cancer Histology Images with Deep Neural Networks. | Dan C. Ciresan, Alessandro Giusti, Luca Maria Gambardella, Jrgen Schmidhuber |
| 2012 | CVPR | Multi-column deep neural networks for image classification. | Dan C. Ciresan, Ueli Meier, Jrgen Schmidhuber |
| 2012 | GECCO | Complexity search for compressed neural networks. | Faustino J. Gomez, Jan Koutnk, Jrgen Schmidhuber |
| 2012 | GECCO | MT-CGP: mixed type cartesian genetic programming. | Simon Harding, Vincent Graziano, Jrgen Leitner, Jrgen Schmidhuber |
| 2012 | GECCO | Generalized compressed network search. | Rupesh Kumar Srivastava, Jrgen Schmidhuber, Faustino J. Gomez |
| 2012 | ICAART | Reflexive Collision Response with Virtual Skin - Roadmap Planning Meets Reinforcement Learning. | Mikhail Frank, Alexander Frster, Jrgen Schmidhuber |
| 2012 | ICANN | Low Complexity Proto-Value Function Learning from Sensory Observations with Incremental Slow Feature Analysis. | Matthew D. Luciw, Jrgen Schmidhuber |
| 2012 | ICINCO | The Modular Behavioral Environment for Humanoids and other Robots (MoBeE). | Mikhail Frank, Jrgen Leitner, Marijn F. Stollenga, Simon Harding, Alexander Frster, Jrgen Schmidhuber |
| 2012 | ICML | On the Size of the Online Kernel Sparsification Dictionary. | Yi Sun, Faustino J. Gomez, Jrgen Schmidhuber |
| 2012 | IJCNN | Transfer learning for Latin and Chinese characters with Deep Neural Networks. | Dan Claudiu Ciresan, Ueli Meier, Jrgen Schmidhuber |
| 2012 | IJCNN | Steel defect classification with Max-Pooling Convolutional Neural Networks. | Jonathan Masci, Ueli Meier, Dan C. Ciresan, Jrgen Schmidhuber, Gabriel Fricout |
| 2012 | IJCNN | Learning skills from play: Artificial curiosity on a Katana robot arm. | Hung Quoc Ngo, Matthew D. Luciw, Alexander Frster, Jrgen Schmidhuber |
| 2012 | IROS | Transferring spatial perception between robots operating in a shared workspace. | Jrgen Leitner, Simon Harding, Mikhail Frank, Alexander Frster, Jrgen Schmidhuber |
| 2012 | PPSN | Compressed Network Complexity Search. | Faustino J. Gomez, Jan Koutnk, Jrgen Schmidhuber |
| 2012 | PPSN | Generalized Compressed Network Search. | Rupesh Kumar Srivastava, Jrgen Schmidhuber, Faustino J. Gomez |
| 2012 | RO-MAN | Incremental learning using partial feedback for gesture-based human-swarm interaction. | Jawad Nagi, Hung Quoc Ngo, Alessandro Giusti, Luca Maria Gambardella, Jrgen Schmidhuber, Gianni A. Di Caro |
| 2011 | AAAI | Lifelong Credit Assignment with the Success-Story Algorithm. | Jrgen Schmidhuber |
| 2011 | CEC | Curiosity-driven optimization. | Tom Schaul, Yi Sun, Daan Wierstra, Faustino J. Gomez, Jrgen Schmidhuber |
| 2011 | GECCO | High dimensions and heavy tails for natural evolution strategies. | Tom Schaul, Tobias Glasmachers, Jrgen Schmidhuber |
| 2011 | ICANN | Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction. | Jonathan Masci, Ueli Meier, Dan C. Ciresan, Jrgen Schmidhuber |
| 2011 | ICDAR | Convolutional Neural Network Committees for Handwritten Character Classification. | Dan Claudiu Ciresan, Ueli Meier, Luca Maria Gambardella, Jrgen Schmidhuber |
| 2011 | ICDAR | Better Digit Recognition with a Committee of Simple Neural Nets. | Ueli Meier, Dan Claudiu Ciresan, Luca Maria Gambardella, Jrgen Schmidhuber |
| 2011 | ICML | Incremental Basis Construction from Temporal Difference Error. | Yi Sun, Faustino J. Gomez, Mark B. Ring, Jrgen Schmidhuber |
| 2011 | IJCAI | Flexible, High Performance Convolutional Neural Networks for Image Classification. | Dan Claudiu Ciresan, Ueli Meier, Jonathan Masci, Luca Maria Gambardella, Jrgen Schmidhuber |
| 2011 | IJCAI | Incremental Slow Feature Analysis. | Varun Raj Kompella, Matthew D. Luciw, Jrgen Schmidhuber |
| 2011 | IJCNN | A committee of neural networks for traffic sign classification. | Dan C. Ciresan, Ueli Meier, Jonathan Masci, Jrgen Schmidhuber |
| 2011 | IJCNN | Modular deep belief networks that do not forget. | Leo Pape, Faustino J. Gomez, Juergen Ring, Jrgen Schmidhuber |
| 2010 | BMVC | Robust Texture Recognition Using Credal Classifiers. | Giorgio Corani, Alessandro Giusti, Davide Migliore, Jrgen Schmidhuber |
| 2010 | CCS | Modeling attacks on physical unclonable functions. | Ulrich Rhrmair, Frank Sehnke, Jan Slter, Gideon Dror, Srinivas Devadas, Jrgen Schmidhuber |
| 2010 | GECCO | Exponential natural evolution strategies. | Tobias Glasmachers, Tom Schaul, Yi Sun, Daan Wierstra, Jrgen Schmidhuber |
| 2010 | GECCO | Evolving neural networks in compressed weight space. | Jan Koutnk, Faustino J. Gomez, Jrgen Schmidhuber |
| 2010 | ICANN | Multi-Dimensional Deep Memory Atari-Go Players for Parameter Exploring Policy Gradients. | Mandy Grttner, Frank Sehnke, Tom Schaul, Jrgen Schmidhuber |
| 2010 | ICANN | Policy Gradients for Cryptanalysis. | Frank Sehnke, Christian Osendorfer, Jan Slter, Jrgen Schmidhuber, Ulrich Rhrmair |
| 2010 | ICMLA | Multimodal Parameter-exploring Policy Gradients. | Frank Sehnke, Alex Graves, Christian Osendorfer, Jrgen Schmidhuber |
| 2010 | PPSN | A Natural Evolution Strategy for Multi-objective Optimization. | Tobias Glasmachers, Tom Schaul, Jrgen Schmidhuber |
| 2009 | CEC | Robust player imitation using multiobjective evolution. | Niels van Hoorn, Julian Togelius, Daan Wierstra, Jrgen Schmidhuber |
| 2009 | GECCO | Efficient natural evolution strategies. | Yi Sun, Daan Wierstra, Tom Schaul, Jrgen Schmidhuber |
| 2009 | ICANN | Evolving Memory Cell Structures for Sequence Learning. | Justin Bayer, Daan Wierstra, Julian Togelius, Jrgen Schmidhuber |
| 2009 | ICANN | Measuring and Optimizing Behavioral Complexity for Evolutionary Reinforcement Learning. | Faustino J. Gomez, Julian Togelius, Jrgen Schmidhuber |
| 2009 | ICANN | Scalable Neural Networks for Board Games. | Tom Schaul, Jrgen Schmidhuber |
| 2009 | ICANN | An EM Based Training Algorithm for Recurrent Neural Networks. | Jan Unkelbach, Yi Sun, Jrgen Schmidhuber |
| 2009 | ICML | Stochastic search using the natural gradient. | Yi Sun, Daan Wierstra, Tom Schaul, Jrgen Schmidhuber |
| 2008 | CEC | Learning what to ignore: Memetic climbing in topology and weight space. | Julian Togelius, Faustino J. Gomez, Jrgen Schmidhuber |
| 2008 | CEC | Natural Evolution Strategies. | Daan Wierstra, Tom Schaul, Jan Peters, Jrgen Schmidhuber |
| 2008 | DCAI | Towards Distributed Algorithm Portfolios. | Matteo Gagliolo, Jrgen Schmidhuber |
| 2008 | ICANN | Policy Gradients with Parameter-Based Exploration for Control. | Frank Sehnke, Christian Osendorfer, Thomas Rckstie, Alex Graves, Jan Peters, Jrgen Schmidhuber |
| 2008 | ICANN | Episodic Reinforcement Learning by Logistic Reward-Weighted Regression. | Daan Wierstra, Tom Schaul, Jan Peters, Jrgen Schmidhuber |
| 2008 | KES | Driven by Compression Progress. | Jrgen Schmidhuber |
| 2008 | PPSN | Countering Poisonous Inputs with Memetic Neuroevolution. | Julian Togelius, Tom Schaul, Jrgen Schmidhuber, Faustino J. Gomez |
| 2008 | PPSN | Fitness Expectation Maximization. | Daan Wierstra, Tom Schaul, Jan Peters, Jrgen Schmidhuber |
| 2007 | ALT | Simple Algorithmic Principles of Discovery, Subjective Beauty, Selective Attention, Curiosity and Creativity. | Jrgen Schmidhuber |
| 2007 | DIS | Simple Algorithmic Principles of Discovery, Subjective Beauty, Selective Attention, Curiosity & Creativity. | Jrgen Schmidhuber |
| 2007 | ESANN | RNN-based Learning of Compact Maps for Efficient Robot Localization. | Alexander Frster, Alex Graves, Jrgen Schmidhuber |
| 2007 | ICANN | An Application of Recurrent Neural Networks to Discriminative Keyword Spotting. | Santiago Fernndez, Alex Graves, Jrgen Schmidhuber |
| 2007 | ICANN | Multi-dimensional Recurrent Neural Networks. | Alex Graves, Santiago Fernndez, Jrgen Schmidhuber |
| 2007 | ICANN | Solving Deep Memory POMDPs with Recurrent Policy Gradients. | Daan Wierstra, Alexander Frster, Jan Peters, Jrgen Schmidhuber |
| 2007 | IJCAI | Sequence Labelling in Structured Domains with Hierarchical Recurrent Neural Networks. | Santiago Fernndez, Alex Graves, Jrgen Schmidhuber |
| 2007 | IJCAI | Learning Restart Strategies. | Matteo Gagliolo, Jrgen Schmidhuber |
| 2006 | CiE | Prefix-Like Complexities and Computability in the Limit. | Alexey V. Chernov, Jrgen Schmidhuber |
| 2006 | CP | Impact of Censored Sampling on the Performance of Restart Strategies. | Matteo Gagliolo, Jrgen Schmidhuber |
| 2006 | ESANN | Evolino for recurrent support vector machines. | Jrgen Schmidhuber, Matteo Gagliolo, Daan Wierstra, Faustino J. Gomez |
| 2006 | IAS | Metric State Space Reinforcement Learning for a Vision-Capable Mobile Robot. | Viktor Zhumatiy, Faustino J. Gomez, Marcus Hutter, Jrgen Schmidhuber |
| 2006 | ICML | Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks. | Alex Graves, Santiago Fernndez, Faustino J. Gomez, Jrgen Schmidhuber |
| 2006 | ICRA | Quasi-online Reinforcement Learning for Robots. | Bram Bakker, Viktor Zhumatiy, Gabriel Gruener, Jrgen Schmidhuber |
| 2006 | IROS | A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks. | Hermann Georg Mayer, Faustino J. Gomez, Daan Wierstra, Istvan Nagy, Alois C. Knoll, Jrgen Schmidhuber |
| 2006 | ISAIM | Dynamic Algorithm Portfolios. | Matteo Gagliolo, Jrgen Schmidhuber |
| 2005 | AAMAS | Gdel Machines: Towards a Technical Justification of Consciousness. | Jrgen Schmidhuber |
| 2005 | GECCO | Co-evolving recurrent neurons learn deep memory POMDPs. | Faustino J. Gomez, Jrgen Schmidhuber |
| 2005 | GECCO | Modeling systems with internal state using evolino. | Daan Wierstra, Faustino J. Gomez, Jrgen Schmidhuber |
| 2005 | ICANN | Classifying Unprompted Speech by Retraining LSTM Nets. | Nicole Beringer, Alex Graves, Florian Schiel, Jrgen Schmidhuber |
| 2005 | ICANN | A Neural Network Model for Inter-problem Adaptive Online Time Allocation. | Matteo Gagliolo, Jrgen Schmidhuber |
| 2005 | ICANN | Fast Color-Based Object Recognition Independent of Position and Orientation. | Martijn van de Giessen, Jrgen Schmidhuber |
| 2005 | ICANN | Evolving Modular Fast-Weight Networks for Control. | Faustino J. Gomez, Jrgen Schmidhuber |
| 2005 | ICANN | Bidirectional LSTM Networks for Improved Phoneme Classification and Recognition. | Alex Graves, Santiago Fernndez, Jrgen Schmidhuber |
| 2005 | ICANN | Completely Self-referential Optimal Reinforcement Learners. | Jrgen Schmidhuber |
| 2005 | IJCAI | Evolino: Hybrid Neuroevolution/Optimal Linear Search for Sequence Learning. | Jrgen Schmidhuber, Daan Wierstra, Faustino J. Gomez |
| 2005 | IJCNN | Framewise phoneme classification with bidirectional LSTM networks. | Alex Graves, Jrgen Schmidhuber |
| 2003 | IROS | A robot that reinforcement-learns to identify and memorize important previous observations. | Bram Bakker, Viktor Zhumatiy, Gabriel Gruener, Jrgen Schmidhuber |
| 2002 | COLT | The Speed Prior: A New Simplicity Measure Yielding Near-Optimal Computable Predictions. | Jrgen Schmidhuber |
| 2002 | ESANN | DEKF-LSTM. | Felix A. Gers, Juan Antonio Prez-Ortiz, Douglas Eck, Jrgen Schmidhuber |
| 2002 | ICANN | Learning the Long-Term Structure of the Blues. | Douglas Eck, Jrgen Schmidhuber |
| 2002 | ICANN | Learning Context Sensitive Languages with LSTM Trained with Kalman Filters. | Felix A. Gers, Juan Antonio Prez-Ortiz, Douglas Eck, Jrgen Schmidhuber |
| 2002 | ICANN | Improving Long-Term Online Prediction with Decoupled Extended Kalman Filters. | Juan Antonio Prez-Ortiz, Jrgen Schmidhuber, Felix A. Gers, Douglas Eck |
| 2002 | IROS | Reinforcement learning in partially observable mobile robot domains using unsupervised event extraction. | Bram Bakker, Fredrik Linker, Jrgen Schmidhuber |
| 2001 | ICANN | Applying LSTM to Time Series Predictable through Time-Window Approaches. | Felix A. Gers, Douglas Eck, Jrgen Schmidhuber |
| 2001 | ICANN | Unsupervised Learning in LSTM Recurrent Neural Networks. | Magdalena Klapper-Rybicka, Nicol N. Schraudolph, Jrgen Schmidhuber |
| 2001 | ICANN | Market-Based Reinforcement Learning in Partially Observable Worlds. | Ivo Kwee, Marcus Hutter, Jrgen Schmidhuber |
| 2001 | ICANN | Active Learning with Adaptive Grids. | Michele Milano, Jrgen Schmidhuber, Petros Koumoutsakos |
| 2000 | CEC | Evolving strategies for active flow control. | Michele Milano, Petros Koumoutsakos, Xavier Giannakopoulos, Jrgen Schmidhuber |
| 2000 | IJCNN | Recurrent Nets that Time and Count. | Felix A. Gers, Jrgen Schmidhuber |
| 2000 | IJCNN | Neural Processing of Complex Continual Input Streams. | Felix A. Gers, Jrgen Schmidhuber |
| 1999 | CEC | Artificial curiosity based on discovering novel algorithmic predictability through coevolution. | Jrgen Schmidhuber |
| 1999 | Interspeech | Language identification from prosody without explicit features. | Fred A. Cummins, Felix A. Gers, Jrgen Schmidhuber |
| 1999 | ISCAS | Nonlinear ICA through low-complexity autoencoders. | Sepp Hochreiter, Jrgen Schmidhuber |
| 1998 | ICML | Evolving Structured Programs with Hierarchical Instructions and Skip Nodes. | Rafal Salustowicz, Jrgen Schmidhuber |
| 1997 | ICANN | Unsupervised Coding with LOCOCODE. | Sepp Hochreiter, Jrgen Schmidhuber |
| 1997 | ICANN | On Learning Soccer Strategies. | Rafal Salustowicz, Marco A. Wiering, Jrgen Schmidhuber |
| 1997 | ICONIP | Evolving Soccer Strategies. | Rafal Salustowicz, Marco A. Wiering, Jrgen Schmidhuber |
| 1996 | ECAI | Multi-Agent Learning with the Success-Story Algorithm. | Jrgen Schmidhuber, Jieyu Zhao |
| 1996 | ICML | Solving POMDPs with Levin Search and EIRA. | Marco A. Wiering, Jrgen Schmidhuber |
| 1995 | ICML | Discovering Solutions with Low Kolmogorov Complexity and High Generalization Capability. | Jrgen Schmidhuber |
| 1990 | IJCNN | An on-line algorithm for dynamic reinforcement learning and planning in reactive environments. | Jrgen Schmidhuber |