Search Results - Kirsch, Louis

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  1. 1
    Brain-inspired learning in artificial neural networks: A review

    Brain-inspired learning in artificial neural networks: A review by Schmidgall, Samuel, Ziaei, Rojin, Achterberg, Jascha, Kirsch, Louis, Hajiseyedrazi, S. Pardis, Eshraghian, Jason

    Published in APL machine learning
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  2. 2
    Gaussian Mean Field Regularizes by Limiting Learned Information

    Gaussian Mean Field Regularizes by Limiting Learned Information by Kunze, Julius, Kirsch, Louis, Ritter, Hippolyt, Barber, David

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  3. 3
    The French Vocational Education and Training System: like an unrecognised prototype?

    The French Vocational Education and Training System: like an unrecognised prototype? by BOUDER, ANNIE, KIRSCH, JEAN-LOUIS

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  4. 4
    Eliminating Meta Optimization Through Self-Referential Meta Learning

    Eliminating Meta Optimization Through Self-Referential Meta Learning by Kirsch, Louis, Schmidhuber, Jürgen

    Published in arXiv.org
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  5. 5
    Meta Learning Backpropagation And Improving It

    Meta Learning Backpropagation And Improving It by Kirsch, Louis, Schmidhuber, Jürgen

    Published in arXiv.org
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  6. 6
    Introducing Symmetries to Black Box Meta Reinforcement Learning

    Introducing Symmetries to Black Box Meta Reinforcement Learning by Kirsch, Louis, Flennerhag, Sebastian, Hasselt, Hado van, Friesen, Abram, Oh, Junhyuk, Chen, Yutian

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  7. 7
    Goal-Conditioned Generators of Deep Policies

    Goal-Conditioned Generators of Deep Policies by Faccio, Francesco, Herrmann, Vincent, Ramesh, Aditya, Kirsch, Louis, Schmidhuber, Jürgen

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  8. 8
    Learning One Abstract Bit at a Time Through Self-Invented Experiments Encoded as Neural Networks

    Learning One Abstract Bit at a Time Through Self-Invented Experiments Encoded as Neural Networks by Herrmann, Vincent, Kirsch, Louis, Schmidhuber, Jürgen

    Published in arXiv.org
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  9. 9
    Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning

    Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning by Ramesh, Aditya A, Young, Kenny, Kirsch, Louis, Schmidhuber, Jürgen

    Published in arXiv.org
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  10. 10
    The Benefits of Model-Based Generalization in Reinforcement Learning

    The Benefits of Model-Based Generalization in Reinforcement Learning by Young, Kenny, Ramesh, Aditya, Kirsch, Louis, Schmidhuber, Jürgen

    Published in arXiv.org
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  11. 11
    Parameter-Based Value Functions

    Parameter-Based Value Functions by Faccio, Francesco, Kirsch, Louis, Schmidhuber, Jürgen

    Published in arXiv.org
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  12. 12
    Automating the Search for Artificial Life with Foundation Models

    Automating the Search for Artificial Life with Foundation Models by Kumar, Akarsh, Lu, Chris, Kirsch, Louis, Tang, Yujin, Stanley, Kenneth O, Isola, Phillip, Ha, David

    Published in arXiv.org
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  13. 13
    Adversarial Robustness of In-Context Learning in Transformers for Linear Regression

    Adversarial Robustness of In-Context Learning in Transformers for Linear Regression by Usman Anwar, Johannes Von Oswald, Kirsch, Louis, Krueger, David, Frei, Spencer

    Published in arXiv.org
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  14. 14
    Gaussian Mean Field Regularizes by Limiting Learned Information

    Gaussian Mean Field Regularizes by Limiting Learned Information by Kunze, Julius, Kirsch, Louis, Ritter, Hippolyt, Barber, David

    Published in arXiv.org
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  15. 15
    General-Purpose In-Context Learning by Meta-Learning Transformers

    General-Purpose In-Context Learning by Meta-Learning Transformers by Kirsch, Louis, Harrison, James, Sohl-Dickstein, Jascha, Metz, Luke

    Published in arXiv.org
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  16. 16
    Language Agents as Optimizable Graphs

    Language Agents as Optimizable Graphs by Zhuge, Mingchen, Wang, Wenyi, Kirsch, Louis, Faccio, Francesco, Khizbullin, Dmitrii, Schmidhuber, Jürgen

    Published in arXiv.org
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  17. 17
    Exploring through Random Curiosity with General Value Functions

    Exploring through Random Curiosity with General Value Functions by Ramesh, Aditya, Kirsch, Louis, Sjoerd van Steenkiste, Schmidhuber, Jürgen

    Published in arXiv.org
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  18. 18
    Goal-Conditioned Generators of Deep Policies

    Goal-Conditioned Generators of Deep Policies by Faccio, Francesco, Herrmann, Vincent, Ramesh, Aditya, Kirsch, Louis, Schmidhuber, Jürgen

    Published in arXiv.org
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  19. 19
    Discovering Temporally-Aware Reinforcement Learning Algorithms

    Discovering Temporally-Aware Reinforcement Learning Algorithms by Jackson, Matthew Thomas, Lu, Chris, Kirsch, Louis, Lange, Robert Tjarko, Whiteson, Shimon, Foerster, Jakob Nicolaus

    Published in arXiv.org
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  20. 20
    The Languini Kitchen: Enabling Language Modelling Research at Different Scales of Compute

    The Languini Kitchen: Enabling Language Modelling Research at Different Scales of Compute by Stanić, Aleksandar, Ashley, Dylan, Serikov, Oleg, Kirsch, Louis, Faccio, Francesco, Schmidhuber, Jürgen, Hofmann, Thomas, Schlag, Imanol

    Published in arXiv.org
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