Kirsch, Louis
- Mindstorms in Natural Language-Based Societies of Mind
2023/05/26 by Mingchen Zhuge, Haozhe Liu, Zhuge, Mingchen +49 · 5 voices · 9 citations
Computer Science · Social Sciences · #Language and cultural evolution #Multimodal Machine Learning Applications #Topic Modeling #cs.AI #cs.CL #cs.CV #cs.LG #cs.MA
- General-Purpose In-Context Learning by Meta-Learning Transformers
2022/12/08 by Louis Kirsch, J. Harrison, Kirsch, Louis +5 · 14 citations
Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Neural and Evolutionary Computing (cs.NE)
- Brain-inspired learning in artificial neural networks: a review
2023/05/18 by Samuel Schmidgall, Schmidgall, Samuel, Jascha Achterberg +11 · 1 voice · 9 citations
#cs.NE #cs.AI #cs.LG #q-bio.NC
- Language Agents as Optimizable Graphs
2024/02/26 by Mingchen Zhuge, Wenyi Wang, Zhuge, Mingchen +9 · 12 citations
Computer Science · #Natural Language Processing Techniques
- Automating the Search for Artificial Life with Foundation Models
2024/12/23 by Akarsh Kumar, Chris Lu, Kumar, Akarsh +12 · 6 voices · 9 citations
Engineering · #Modular Robots and Swarm Intelligence
- Modular Networks: Learning to Decompose Neural Computation
2018/11/13 by Kirsch, Louis, Kunze, Julius, Barber, David · 5 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Improving Generalization in Meta Reinforcement Learning using Learned Objectives
2019/10/09 by Louis Kirsch, Sjoerd van Steenkiste, Kirsch, Louis +3 · 6 citations
Computer Science · #Adaptive Dynamic Programming Control #Artificial Intelligence (cs.AI) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #I.2.6 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #Reinforcement Learning in Robotics
- Parameter-Based Value Functions
2020/06/16 by Faccio, Francesco, Kirsch, Louis, Schmidhuber, Jürgen · 3 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- The Benefits of Model-Based Generalization in Reinforcement Learning
2022/11/04 by Kenny Young, Aditya Ramesh, Young, Kenny +5 · 4 citations
Computer Science · Psychology · #Data Stream Mining Techniques #Mental Health Research Topics #Explainable Artificial Intelligence (XAI)
- Goal-Conditioned Generators of Deep Policies
2022/07/04 by Faccio, Francesco, Herrmann, Vincent, Ramesh, Aditya +2 · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Discovering Temporally-Aware Reinforcement Learning Algorithms
2024/02/08 by Jackson, Matthew Thomas, Lu, Chris, Kirsch, Louis +3 · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Introducing Symmetries to Black Box Meta Reinforcement Learning
2021/09/22 by Louis Kirsch, Sebastian Flennerhag, Kirsch, Louis +9 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Neural and Evolutionary Computing (cs.NE) #Reinforcement Learning in Robotics
- Eliminating Meta Optimization Through Self-Referential Meta Learning
2022/12/29 by Kirsch, Louis, Schmidhuber, Jürgen · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
- Exploring through Random Curiosity with General Value Functions
2022/11/18 by Ramesh, Aditya, Kirsch, Louis, van Steenkiste, Sjoerd +1 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- The Languini Kitchen: Enabling Language Modelling Research at Different Scales of Compute
2023/09/20 by Stanić, Aleksandar, Ashley, Dylan, Serikov, Oleg +5 · 1 citation
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Understanding In-Context Learning of Linear Models in Transformers Through an Adversarial Lens
2024/11/07 by Anwar, Usman, Von Oswald, Johannes, Kirsch, Louis +2 · 1 citation
#Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)