Research output per year
Research output per year
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Dive into the research topics where Juergen Schmidhuber is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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A Modern Self-Referential Weight Matrix That Learns to Modify Itself
Irie, K., Schlag, I., Csordás, R. & Schmidhuber, J., Jun 17 2022, ICML 2022 : 39th International Conference on Machine Learning. arXivResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Analysis of Neural Network Based Proportional Myoelectric Hand Prosthesis Control
Wand, M., Kristoffersen, M. B., Franzke, A. W. & Schmidhuber, J., Jan 10 2022, In: IEEE Transactions on Biomedical Engineering. 69, 7, p. 2283-2293 11 p.Research output: Contribution to journal › Article › peer-review
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Bayesian brains and the rényi divergence
Sajid, N., Faccio, F., Da Costa, L., Parr, T., Schmidhuber, J. & Friston, K., Mar 23 2022, In: Neural Computation. 34, 4, p. 829-855 27 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
CTL++: Evaluating Generalization on Never-Seen Compositional Patterns of Known Functions, and Compatibility of Neural Representations
Csordás, R., Irie, K. & Schmidhuber, J., Dec 2022, The 2022 Conference on Empirical Methods in Natural Language Processing. arXivResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Exploring through Random Curiosity with General Value Functions
Ramesh, A., Kirsch, L., Steenkiste, S. V. & Schmidhuber, J., 2022, 35th Deep RL workshop, Conference on Neural Information Processing Systems (NeurIPS 2021). arXivResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Exploring through Random Curiosity with General Value Functions
Ramesh, A., Kirsch, L., Steenkiste, S. V. & Schmidhuber, J., Nov 18 2022, 36th Conference on Neural Information Processing Systems (NeurIPS 2022).. arXivResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Goal-Conditioned Generators of Deep Policies
Faccio, F., Herrmann, V., Ramesh, A., Kirsch, L. & Schmidhuber, J., 2022, ICML 2022 : 39th International Conference on Machine Learning. arXivResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Is it enough to optimize CNN architectures on ImageNet?
Tuggener, L., Schmidhuber, J. & Stadelmann, T., Nov 15 2022, In: Frontiers in Computer Science. 4Research output: Contribution to journal › Article › peer-review
Press / Media
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What we learned about AI and deep learning in 2022
12/27/22
3 items of Media coverage
Press/Media: Press / Media
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Machines that think like humans: Everything to know about AGI and AI Debate 3
12/26/22 → 12/27/22
3 items of Media coverage
Press/Media: Press / Media
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NNAISENSE Launches ARC, World's First Artificial General Intelligence (AGI) Platform, Marking The Beginning Of Industry 5.0
12/1/22
1 item of Media coverage
Press/Media: Press / Media
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NNAISENSE launches Artificial Intelligence for Industry 5.0
11/11/22
1 item of Media coverage
Press/Media: Press / Media
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NNAISENSE Launches ARC, World's First Artificial General Intelligence (AGI) Platform, Marking the Beginning of Industry 5.0
11/10/22
6 items of Media coverage
Press/Media: Press / Media
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The 2022 Global AI Summit Begins with Launch of Several New International Initiatives
09/14/22 → 10/26/22
94 items of Media coverage
Press/Media: Press / Media
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The Global AI Summit Wraps Up in Riyadh, Reaffirming Saudi Arabia's Growing Stake in Shaping the Future of AI
09/16/22 → 10/26/22
76 items of Media coverage
Press/Media: Press / Media
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AI critic Gary Marcus: Meta's LeCun is finally coming around to the things I said years ago
10/24/22 → 10/25/22
2 items of Media coverage
Press/Media: Press / Media