Guillaume Lajoie
3 papers in the PaperMetrix corpus
Papers by this author
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Extreme sensitivity of reservoir computing to small network disruptions
2015 · BMC Neuroscience
Recent computational models based on reservoir computing (RC) are gaining attention as plausible theories of cortical information processing.In these models, the activity of a recurrently connected population of neurons is sent to one or many …
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Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning
2021 · arXiv (Cornell University)
Inducing causal relationships from observations is a classic problem in machine learning. Most work in causality starts from the premise that the causal variables themselves are observed. However, for AI agents such as robots trying …
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Expressivity of Neural Networks with Random Weights and Learned Biases.
2025 · PubMed
Landmark universal function approximation results for neural networks with trained weights and biases provided the impetus for the ubiquitous use of neural networks as learning models in neuroscience and Artificial Intelligence (AI). Recent work has …