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Gérard Biau

Pierre-and-Marie-Curie University
University of Montpellier

116

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4039

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Optimal 1-Wasserstein Distance for WGANs.

2022 CoRR
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SHAFF: Fast and consistent SHApley eFfect estimates via random Forests.

2022 AISTATS | International Conference on Artificial Intelligence and Statistics
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SIRUS: Stable and Interpretable RUle Set for classification

2021 Electronic Journal of Statistics
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Framing RNN as a kernel method: A neural ODE approach

2021 | Annual Conference on Neural Information Processing Systems
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Framing RNN as a kernel method: A neural ODE approach

2021 NeurIPS | Neural Information Processing Systems
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SHAFF: Fast and consistent SHApley eFfect estimates via random Forests.

2021 arXiv: Machine Learning
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Framing RNN as a kernel method: A neural ODE approach.

2021 arXiv: Machine Learning
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Some Theoretical Insights into Wasserstein GANs

2021 Journal of Machine Learning Research
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SIRUS: Stable and Interpretable RUle Set for Classification.

2020 arXiv: Machine Learning
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SIRUS: Stable and Interpretable RUle Set.

2020 arXiv: Machine Learning
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Citations (2)