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Researcher profile

François Fleuret

2 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. Optimizer Benchmarking Needs to Account for Hyperparameter Tuning

    2020 · Infoscience (Ecole Polytechnique Fédérale de Lausanne)

    The performance of optimizers, particularly in deep learning, depends considerably on their chosen hyperparameter configuration. The efficacy of optimizers is often studied under near-optimal problem-specific hyperparameters, and finding these settings may be prohibitively costly for …

  2. Computing Preimages of Deep Neural Networks with Applications to Safety

    2021

    To apply an algorithm in a sensitive domain it is important to understand the set of input values that result in specific decisions. Deep neural networks suffer from an inherent instability that makes this difficult: …