3 citations · 3 across the 3 of their papers we have counts for
3 papers
FlowKac: An Efficient Neural Fokker-Planck solver using Temporal Normalizing Flows and the Feynman-Kac Formula
Naoufal El Bekri, Lucas Drumetz, Franck Vermet
Solving the Fokker-Planck equation for high-dimensional complex dynamical systems remains a pivotal yet challenging task due to the intractability of analytical solutions and the l…
Physics Informed and Data Driven Simulation of Underwater Images via Residual Learning
Tanmoy Mondal, Ricardo Mendoza, Lucas Drumetz
In general, underwater images suffer from color distortion and low contrast, because light is attenuated and backscattered as it propagates through water (differently depending on…
Time-changed normalizing flows for accurate SDE modeling
Naoufal El Bekri, Lucas Drumetz, Franck Vermet
The generative paradigm has become increasingly important in machine learning and deep learning models. Among popular generative models are normalizing flows, which enable exact li…