Advestis
Generative Adversarial Networks applied to synthetic financial scenarios generation
M. Rizzato, J. Wallart, C. Geissler, N. Morizet and N. Boumlaik. In "Elsevier Physica A", 18 May 2023.
top of page
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
Advestis
- 2 mai
CHAT GPT : USAGES, IMPACTS ET RECOMMANDATIONS
Hub FranceIA, Advestis et al. Note de synthèse. Mai 2023.
Advestis
- 15 févr.
Analysis of the Relevance of Sentiment Data for the Prediction of ERs in a Multi-Asset Framework
P. Desforges, C. Geissler and F. Liu. Journal of Forecasting, 15 February 2023.
Advestis
- 22 déc. 2022
Time to Market Reduction for Hydrogen Fuel Cell Stacks using Generative Adversarial Networks
N. Morizet, P. Desforges, C. Geissler, E. Pahon, S. Jemei and D. Hissel. Preprint, HAL, December 22nd 2022.
Advestis
- 22 déc. 2022
Usage of GAMS-Based Digital Twins and Clustering to Improve Energetic Systems Control
T. Gronier, W. Maréchal, C. Geissler and S. Gibout. MDPI Energies, December 22nd 2022.
Advestis
- 12 déc. 2022
Partenariat SIMSEO Advestis x CRIANN
Annonce officielle du partenariat SIMSEO entre Advestis et le CRIANN, 12 Décembre 2022.
Advestis
- 26 sept. 2022
A Pilot Study on the Use of Generative Adversarial Networks for Data Augmentation of Time Series
N. Morizet, M. Rizzato, D. Grimbert and G. Luta. Brief Report, MDPI AI Special Issue "Feature Papers for AI", September 26th 2022.
Advestis
- 24 sept. 2022
An entry point to clustering methods
W. Maréchal. Medium, September 24th 2022.
Advestis
- 13 juil. 2022
Generative Adversarial Networks Applied to Synthetic Financial Scenarios
C. Geissler, N. Morizet, M. Rizzato and J. Wallart. Preprint, July 2022.
Advestis
- 11 juil. 2022
Stress testing electrical grids: Generative Adversarial Networks for load scenario generation
M. Rizzato, N. Morizet, W. Maréchal and C. Geissler. "Elsevier Energy and AI" 9 (2022).
Advestis
- 19 mai 2022
Relevance of Optimized Low-Scale Green H2 Systems in a French Context: Two Case Studies
T. Gronier, W. Maréchal, S. Gibout and C. Geissler. MDPI Energies, 19 May 2022.
Advestis
- 10 mai 2022
Quadratic Optimization with Constraints in Python using CVXOPT
P. Desforges. Towards Data Science. May, 10th 2022.
Advestis
- 21 avr. 2022
Do You Know the Logical Analysis of Data Methodology (LAD)?
V. Margot. Towards Data Science, April 21st.
Advestis
- 25 mars 2022
Mode of Neonatal Delivery Influences the Nutrient Composition of Human Milk
Samuel TM, Thielecke F, Lavalle L, Chen C, Fogel P et al. Front. Nutr. 9:8344394, 2022.
Advestis
- 25 mars 2022
A2Sign: Agnostic Algorithms for Signatures
G. Boldina, P. Fogel, C. Rocher, C. Bettembourg, G. Luta and F. Augé. Bioinformatics, Volume 38, Issue 4, Pages 1015-1021, 15 February 2022.
Advestis
- 9 mars 2022
Extremely expensive likelihoods - A variational-Bayes solution for precision cosmology
M. Rizzato and E. Sellentin. arXiv Preprint, submitted to MNRAS, March 9th, 2022.
Advestis
- 1 mars 2022
Making use of supercomputers in financial machine learning
P. Cotte, P. Lagier, V. Margot and C. Geissler. arXiv Preprint, March, 1st 2022.
Advestis
- 11 févr. 2022
Model Pruning in Deep Neural Networks Using the Tensorflow API
P. Desforges. Towards Data Science. February, 11th 2022.
Advestis
- 4 janv. 2022
Four interpretable algorithms that you should use in 2022
V. Margot. Towards Data Science. January, 4th 2022.
Advestis
- 26 nov. 2021
A Brief Overview of Methods to Explain AI (XAI)
V. Margot. Towards Data Science, November, 26th 2021.
bottom of page