Research

Advestis has been developing and operating ML algorithms in commercial production since 2013.

Since 2014, Advestis has grown an expertise in ESG features engineering and solving complex problems involving them.

Explore our Research below

Rechercher

Sharp estimates for the integrated density of states in Anderson tight-binding models

Advestis

juin 21

Sharp estimates for the integrated density of states in Anderson tight-binding models

Perceval Desforges, Svitlana Mayboroda, Shiwen Zhang, Guy David, Douglas N. Arnold, Wei Wang, and Marcel Filoche. Phys. Rev. A, June 2021.

Online Bayesian inference for multiple changepoints and risk assessment

Advestis

mai 30

Online Bayesian inference for multiple changepoints and risk assessment

O. Sorba and C. Geissler. Advestis Working Paper, May 2021.

Speed Cubing for Machine Learning - Episode 3

Advestis

mars 21

Speed Cubing for Machine Learning - Episode 3

N. Morizet, Towards Data Science, March 22nd, 2021.

TransparentPath: A Python package to manage paths on Google Cloud Storage

Advestis

mars 18

TransparentPath: A Python package to manage paths on Google Cloud Storage

Are you used to pathlib’s Path objects and frustrated when using GCSFileSystem objects ? The TransparentPath package is made for you.

Advestis

févr. 17

How to deal with overlapping rules?

V. Margot, Towards Data Science, February 17th, 2021.

Applying separative non-negative matrix factorization to extra-financial data

Advestis

févr. 17

Applying separative non-negative matrix factorization to extra-financial data

P. Fogel, C. Geissler, P. Cotte and G. Luta. BM&I Journal. February 2021.

Consistent Regression using Data-Dependent Coverings

Advestis

janv. 26

Consistent Regression using Data-Dependent Coverings

V. Margot, JP. Baudry, F. Guilloux and O. Wintenberger. Electronic Journal of Statistics 15(1)1743 - 1782, 2021.

Advestis

18 déc. 2020

How to choose the best model?

V. Margot, Towards Data Science, December 18th, 2020.

Advestis

26 nov. 2020

Accelerating Pandas concatenation

P. Cotte, Towards Data Science, November 26th, 2020.

Advestis

21 nov. 2020

How to measure interpretability?

V. Margot, Towards Data Science, November 21st, 2020.

Speed Cubing for Machine Learning - Episode 2

Advestis

20 nov. 2020

Speed Cubing for Machine Learning - Episode 2

N. Morizet, Towards Data Science, November 20th, 2020.

Interpretable Algorithms for Regression: Theory and Applications

Advestis

1 oct. 2020

Interpretable Algorithms for Regression: Theory and Applications

V. Margot, PhD Thesis, Sorbonne Université, October 2nd, 2020.

Using Non-negative matrix factorization to classify companies

Advestis

1 oct. 2020

Using Non-negative matrix factorization to classify companies

C. Geissler, Towards Data Science, October 1st, 2020.

A rigorous method to compare interpretability of rule-based algorithms

Advestis

23 sept. 2020

A rigorous method to compare interpretability of rule-based algorithms

V. Margot, Preprint, 2020.

Speed Cubing for Machine Learning - Episode 1

Advestis

15 sept. 2020

Speed Cubing for Machine Learning - Episode 1

N. Morizet, Towards Data Science, September 15th, 2020.

Introduction to Generative Adversarial Networks

Advestis

15 juil. 2020

Introduction to Generative Adversarial Networks

N. Morizet, Advestis Tech Report, July 2020.

A self-learning and interpretable investment strategy based on extra-financial data

Advestis

27 avr. 2020

A self-learning and interpretable investment strategy based on extra-financial data

C. Geissler, V. Margot, Chaire DAMI, September 2020.

Tomographic weak lensing bispectrum: a thorough analysis towards the next gen of galaxy surveys

Advestis

1 déc. 2019

Tomographic weak lensing bispectrum: a thorough analysis towards the next gen of galaxy surveys

M. Rizzato. Monthly Notices of the Royal Astronomical Society, vol 490, issue 4, pp.4688-4714, December 2019.