9 citations · 10 across the 6 of their papers we have counts for
3 papers · 1 filter
On the challenges of using D-Wave computers to sample Boltzmann Random Variables
Thomas Pochart, Paulin Jacquot, Joseph Mikael
Sampling random variables following a Boltzmann distribution is an NP-hard problem involved in various applications such as training of \textit{Boltzmann machines}, a specific kind…
Expert Aggregation for Financial Forecasting
Carl Remlinger, Brière Marie, Alasseur Clémence +1
Machine learning algorithms dedicated to financial time series forecasting have gained a lot of interest. But choosing between several algorithms can be challenging, as their estim…
Conditional Loss and Deep Euler Scheme for Time Series Generation
Carl Remlinger, Joseph Mikael, Romuald Elie
We introduce three new generative models for time series that are based on Euler discretization of Stochastic Differential Equations (SDEs) and Wasserstein metrics. Two of these me…