research
∙
01/20/2023
A cell-based population control of Monte Carlo particles for the global variance reduction for transport equations
We present a population control method with sampling and regulation step...
share
research
∙
01/17/2023
Deep Conditional Measure Quantization
The quantization of a (probability) measure is replacing it by a sum of ...
research
∙
12/15/2022
Huber-energy measure quantization
We describe a measure quantization procedure i.e., an algorithm which fi...
research
∙
02/19/2022
Diversity aware image generation
The machine learning generative algorithms such as GAN and VAE show impr...
research
∙
02/07/2022
Algorithms that get old : the case of generative algorithms
Generative IA networks, like the Variational Auto-Encoders (VAE), and Ge...
research
∙
12/18/2020
Convergence dynamics of Generative Adversarial Networks: the dual metric flows
Fitting neural networks often resorts to stochastic (or similar) gradien...
research
∙
12/15/2020
Architectures of epidemic models: accommodating constraints from empirical and clinical data
Deterministic compartmental models have been used extensively in modelin...
research
∙
02/20/2020
Stochastic Runge-Kutta methods and adaptive SGD-G2 stochastic gradient descent
The minimization of the loss function is of paramount importance in deep...
research
∙
11/29/2019