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Rafael Ballester-Ripoll

Global Sensitivity Analysis of Uncertain Parameters in Bayesian Networks

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Jun 09, 2024
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The YODO algorithm: An efficient computational framework for sensitivity analysis in Bayesian networks

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Feb 01, 2023
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tntorch: Tensor Network Learning with PyTorch

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Jun 22, 2022
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You Only Derive Once (YODO): Automatic Differentiation for Efficient Sensitivity Analysis in Bayesian Networks

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Jun 17, 2022
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Are Quantum Computers Practical Yet? A Case for Feature Selection in Recommender Systems using Tensor Networks

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May 12, 2022
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Global sensitivity analysis in probabilistic graphical models

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Oct 07, 2021
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Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation

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May 29, 2021
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Visualization of High-dimensional Scalar Functions Using Principal Parameterizations

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Sep 11, 2018
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