Olivier Francon
Collaborator
Oliver is a senior director of evolutionary AI at Cognizant. He has a Master of Science degree from EPITA, Paris, in Cognitive Science and Artificial Intelligence.
Publications
Discovering Effective Policies for Land-Use Planning with Neuroevolution 2025
Daniel Young, Olivier Francon, Elliot Meyerson, Clemens Schwingshackl, Jacob Bieker, Hugo Cunha, Babak Hodjat, and Risto Miikkulainen, Environmental Data Science, Vol. 4 (2025), pp. e30.
Optimizing the Design of an Artificial Pancreas to Improve Diabetes Management 2024
Ashok Khanna, Olivier Francon, and Risto Miikkulainen, arXiv:2402.07949 (2024).
Pandemic Resilience: Case studies of an AI-calibrated ensemble of models to inform decision making 2024
GPAI, Technical Report, Global Partnership on Artificial Intelligence.
Unlocking the Potential of Global Human Expertise 2024
Elliot Meyerson, Olivier Francon, Darren Sargent, Babak Hodjat, and Risto Miikkulainen, In Proceedings of the 38th Conference on Neural Information Processing Systems (NeurIPS 2024), 2024.
Evolving Deep Neural Networks 2023
Risto Miikkulainen, Jason Liang, Elliot Meyerson, Aditya Rawal, Dan Fink, Olivier Francon, Bala Raju, Hormoz Shahrzad, Arshak Navruzyan, Nigel Duffy, Babak Hodjat, To Appear In Artificial Intelligence in the Age of Neural Networks and Brain Computing (second edition), R. Kozma, C. Alippi, Y. Choe, and F. Morabito (Eds.), New York, 2023. Elsevier.
Pandemic Resilience: Developing an AI-calibrated Ensemble of Models to Inform Decision Making 2023
GPAI, Technical Report, Global Partnership on Artificial Intelligence.
From Prediction to Prescription: Evolutionary Optimization of Non-Pharmaceutical Interventions in the COVID-19 Pandemic 2021
Risto Miikkulainen, Olivier Francon, Elliot Meyerson, Xin Qiu, Darren Sargent, Elisa Canzani, Babak Hodjat, To Appear In IEEE Transactions on Evolutionary Computation, Vol. 25 (2021), pp. 386-401.
Effective Reinforcement Learning through Evolutionary Surrogate-Assisted Prescription 2020
Olivier Francon, Santiago Gonzalez, Babak Hodjat, Elliot Meyerson, Risto Miikkulainen, Xin Qiu, Hormoz Shahrzad, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2020), 2020.
Evolving Deep Neural Networks 2019
Risto Miikkulainen, Jason Liang, Elliot Meyerson, Aditya Rawal, Dan Fink, Olivier Francon, Bala Raju, Hormoz Shahrzad, Arshak Navruzyan, Nigel Duffy, and Babak Hodjat, In Artificial Intelligence in the Age of Neural Networks and Brain Computing, Robert Kozma, Cesare Alippi, Yoonsuck Choe, and Francesco Carlo Morabito (Eds.), pp. 293-312 2019. Amsterdam: Elsev...
Areas of Interest
Evolutionary Computation Game Playing Multiobjective Optimization Neuroevolution Supervised Learning
Labs
Currently affiliated with Neural Networks