Christophe Pere

Christophe Pere

I'm an Applied Researcher in AI and Quantum Machine Learning

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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

Posts

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Blog Post number 4

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Blog Post number 1

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portfolio

publications

Study of the atmosphere of Venus with a refraction model when passing across the Sun the June, 5-6 2012

Published in HAL (French Thesis), 2016

This thesis is about looking at Venus like an exoplanet to use the refraction in order to determine the vertical temperature profile during the ingress and the egress.

Recommended citation: Pere, C., (2016). "Study of the atmosphere of Venus with a refraction model when passing across the Sun the June, 5-6 2012." Journal 1. 1(3). https://tel.archives-ouvertes.fr/tel-01477867

Multilayer modeling of the aureole photometry during the Venus transit: comparison between SDO/HMI and VEx/SOIR data

Published in Astronomy & Astrophysics, 2016

This article is about the invalidation of the “one-layer” approach of the atmosphere of Venus

Recommended citation: Pere, C., et al.(2016). "Multilayer modeling of the aureole photometry during the Venus transit: comparison between SDO/HMI and VEx/SOIR data." A&A. 595, A115. https://www.aanda.org/articles/aa/full_html/2016/11/aa28528-16/aa28528-16.html

The thermal structure of the Venus atmosphere: Intercomparison of Venus Express and ground based observations of vertical temperature and density profiles

Published in Icarus, 2017

This paper is about the thermal structure of Venus atmosphere.

Recommended citation: Limaye, Sanjay S. et al. (2017). "The thermal structure of the Venus atmosphere: Intercomparison of Venus Express and ground based observations of vertical temperature and density profiles." Journal 1. 1(3). https://www.sciencedirect.com/science/article/abs/pii/S0019103516307138?via%3Dihub

Estimation of Uncertainty Bounds on Disparate Treatment when using Proxies for the Protected Attribute

Published in Proceedings of the Canadian Conference on Artificial Intelligence, 2021

This paper is about the estimation of the uncertainty in models and data.

Recommended citation: Racicot, Taha and Khoury, Richard and Pere, Christophe (2021). "Estimation of Uncertainty Bounds on Disparate Treatment when using Proxies for the Protected Attribute." Proceedings of the Canadian Conference on Artificial Intelligence. https://caiac.pubpub.org/pub/ge4b0fvp/release/1

Employing Feature Selection to Improve the Performance of Intrusion Detection Systems

Published in The 14th International Symposium on Foundations \& Practice of Security, 2021

This paper shows the importance of feature selection to improve the precision of classification models and the inference time in a context of cybersecurity data.

Recommended citation: Avila, Ricardo and Khoury, Raphaël and Pere, Christophe and Khanmohammadi, Kobra (2021). "Employing Feature Selection to Improve the Performance of Intrusion Detection Systems." The 14th International Symposium on Foundations \& Practice of Security. https://www.fps-2021.com/cfp/fps-2021-accepted-papers/

A preprocessing perspective for quantum machine learning classification advantage using NISQ algorithms

Published in ArXiv, 2022

We demonstrate that the classical and quantum encoding of classical data can have a practical effect in the industry for QML methods. We compare for two datasets (real-world datasets) that QML algorithms can have an advantage compare to classical ML methods.

Recommended citation: Mancilla, Javier and Pere, Christophe (2022). "A preprocessing perspective for quantum machine learning classification advantage using NISQ algorithms." arXiv. https://arxiv.org/abs/2208.13251

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.