Machine Learning for Semi Linear PDEs. - Quentin Chan-Wai-Nam; Joseph Mikael; Xavier Warin (J. Sci. Comput., 2019)

Conditional Versus Adversarial Euler-based Generators For Time Series. - Carl Remlinger; Joseph Mikael; Romuald Elie (CoRR, 2021)

Expert Aggregation for Financial Forecasting. - Marie Brière; Clémence Alasseur; Joseph Mikael; Carl Remlinger (CoRR, 2021)

Conditional Loss and Deep Euler Scheme for Time Series Generation. - Carl Remlinger; Joseph Mikael; Romuald Elie (AAAI, 2022)

On the challenges of using D-Wave computers to sample Boltzmann Random Variables. - Thomas Pochart; Paulin Jacquot; Joseph Mikael (ICSA Companion, 2022)

Quantum Distance Calculation for $ varepsilon$-Graph Construction. - Naomi Mona Chmielewski; Nina Amini; Paulin Jacquot; Joseph Mikael (QCE, 2023)

Quantum Distance Calculation for ε-Graph Construction. - Naomi Mona Chmielewski; Nina Amini; Paulin Jacquot; Joseph Mikael (CoRR, 2023)

Quantum Reservoir Computing and Risk Bounds. - Naomi Mona Chmielewski; Nina Amini; Joseph Mikael (CoRR, 2025)