Louis Kirsch

According to our database1, Louis Kirsch authored at least 19 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Language Agents as Optimizable Graphs.
CoRR, 2024

Discovering Temporally-Aware Reinforcement Learning Algorithms.
CoRR, 2024

2023
The Languini Kitchen: Enabling Language Modelling Research at Different Scales of Compute.
CoRR, 2023

Mindstorms in Natural Language-Based Societies of Mind.
CoRR, 2023

Brain-inspired learning in artificial neural networks: a review.
CoRR, 2023

The Benefits of Model-Based Generalization in Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2023

Goal-Conditioned Generators of Deep Policies.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Eliminating Meta Optimization Through Self-Referential Meta Learning.
CoRR, 2022

Learning One Abstract Bit at a Time Through Self-Invented Experiments Encoded as Neural Networks.
CoRR, 2022

General-Purpose In-Context Learning by Meta-Learning Transformers.
CoRR, 2022

Exploring through Random Curiosity with General Value Functions.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Introducing Symmetries to Black Box Meta Reinforcement Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Meta Learning Backpropagation And Improving It.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Parameter-Based Value Functions.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Improving Generalization in Meta Reinforcement Learning using Learned Objectives.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Gaussian Mean Field Regularizes by Limiting Learned Information.
Entropy, 2019

2018
Modular Networks: Learning to Decompose Neural Computation.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Transfer Learning for Speech Recognition on a Budget.
Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017

Framework for Exploring and Understanding Multivariate Correlations.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017


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