John J. Molina

According to our database, John J. Molina authored at least 4 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2023

Stokesian processes : inferring Stokes flows using physics-informed Gaussian processes.

John J. Molina, Kenta Ogawa, Takashi Taniguchi

Mach. Learn. Sci. Technol., December, 2023

Rational social distancing policy during epidemics with limited healthcare capacity.

Simon K. Schnyder, John J. Molina, Ryoichi Yamamoto, Matthew S. Turner

PLoS Comput. Biol., October, 2023

2022

Learning to swim efficiently in a nonuniform flow field.

Krongtum Sankaewtong, John J. Molina, Matthew S. Turner, Ryoichi Yamamoto

CoRR, 2022

Nash Neural Networks : Inferring Utilities from Optimal Behaviour.

John J. Molina, Simon K. Schnyder, Matthew S. Turner, Ryoichi Yamamoto

CoRR, 2022