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Oriol Pujol

A Scalable and Efficient Iterative Method for Copying Machine Learning Classifiers

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Feb 07, 2023
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Importance attribution in neural networks by means of persistence landscapes of time series

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Feb 06, 2023
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Reconstruction of univariate functions from directional persistence diagrams

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Mar 03, 2022
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Training Thinner and Deeper Neural Networks: Jumpstart Regularization

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Jan 30, 2022
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Quantile Encoder: Tackling High Cardinality Categorical Features in Regression Problems

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May 27, 2021
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Differential Replication in Machine Learning

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Jul 15, 2020
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Dirichlet uncertainty wrappers for actionable algorithm accuracy accountability and auditability

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Dec 29, 2019
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Sampling Unknown Decision Functions to Build Classifier Copies

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Oct 01, 2019
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Copying Machine Learning Classifiers

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Mar 05, 2019
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Towards Global Explanations for Credit Risk Scoring

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Nov 23, 2018
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