Pascal Pernot

According to our database, Pascal Pernot authored at least 11 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

On the good reliability of an interval-based metric to validate prediction uncertainty for machine learning regression tasks.

Pascal Pernot

CoRR, 2024

Validation of ML-UQ calibration statistics using simulated reference values: a sensitivity analysis.

Pascal Pernot

CoRR, 2024

How to validate average calibration for machine learning regression tasks ?

Pascal Pernot

CoRR, 2024

2023

Can bin-wise scaling improve consistency and adaptivity of prediction uncertainty for machine learning regression ?

Pascal Pernot

CoRR, 2023

Consistency and adaptivity are complementary targets for the validation of variance-based uncertainty quantification metrics in machine learning regression tasks.

Pascal Pernot

CoRR, 2023

Properties of the ENCE and other MAD-based calibration metrics.

Pascal Pernot

CoRR, 2023

2022

Should We Gain Confidence from the Similarity of Results between Methods?

Pascal Pernot, Andreas Savin

Comput., 2022

2021

Corrigendum: Impact of non-normal error distributions on the benchmarking and ranking of quantum machine learning models (2020 Mach. Learn.: Sci. Technol. 1 035011).

Pascal Pernot, Bing Huang, Andreas Savin

Mach. Learn. Sci. Technol., 2021

2020

Impact of non-normal error distributions on the benchmarking and ranking of quantum machine learning models.

Pascal Pernot, Bing Huang, Andreas Savin

Mach. Learn. Sci. Technol., 2020

2016

On the Use of Benchmarks for Multiple Properties.

Bartolomeo Civalleri, Roberto Dovesi, Pascal Pernot, Davide Presti, Andreas Savin

Comput., 2016

2014

Calibration of forcefields for molecular simulation: Sequential design of computer experiments for building cost-efficient kriging metamodels.

Fabien Cailliez, Arnaud Bourasseau, Pascal Pernot

J. Comput. Chem., 2014