Pascal Pernot

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 9

Top Topics

Classification And Regression Problems

Top Venues

Mach. Learn. Sci. Technol.

J. Comput. Chem.

Publications

Pascal Pernot
Validation of ML-UQ calibration statistics using simulated reference values: a sensitivity analysis. CoRR (2024)
Pascal Pernot
How to validate average calibration for machine learning regression tasks ? CoRR (2024)
Pascal Pernot
Can bin-wise scaling improve consistency and adaptivity of prediction uncertainty for machine learning regression ? CoRR (2023)
Pascal Pernot
Properties of the ENCE and other MAD-based calibration metrics. CoRR (2023)
Pascal Pernot
Consistency and adaptivity are complementary targets for the validation of variance-based uncertainty quantification metrics in machine learning regression tasks. CoRR (2023)
Pascal Pernot, Andreas Savin
Should We Gain Confidence from the Similarity of Results between Methods? Comput. 10 (2) (2022)
Pascal Pernot, Bing Huang, Andreas Savin
Corrigendum: Impact of non-normal error distributions on the benchmarking and ranking of quantum machine learning models (2020 Mach. Learn.: Sci. Technol. 1 035011). Mach. Learn. Sci. Technol. 2 (1) (2021)
Pascal Pernot, Bing Huang, Andreas Savin
Impact of non-normal error distributions on the benchmarking and ranking of quantum machine learning models. Mach. Learn. Sci. Technol. 1 (3) (2020)
Bartolomeo Civalleri, Roberto Dovesi, Pascal Pernot, Davide Presti, Andreas Savin
On the Use of Benchmarks for Multiple Properties. Comput. 4 (2) (2016)
Fabien Cailliez, Arnaud Bourasseau, Pascal Pernot
Calibration of forcefields for molecular simulation: Sequential design of computer experiments for building cost-efficient kriging metamodels. J. Comput. Chem. 35 (2) (2014)