207 citations · 552 across the 16 of their papers we have counts for
16 papers
Deep Learning applied to Road Traffic Speed forecasting
Thomas Epelbaum, Fabrice Gamboa, Jean-Michel Loubes +1
In this paper, we propose deep learning architectures (FNN, CNN and LSTM) to forecast a regression model for time dependent data. These algorithm's are designed to handle Floating…
Deep learning: Technical introduction
Thomas Epelbaum
This note presents in a technical though hopefully pedagogical way the three most common forms of neural network architectures: Feedforward, Convolutional and Recurrent. For each n…
Heavy quark diffusion from coherent color fields in relativistic heavy-ion collisions
Taesoo Song, Thomas Epelbaum
The diffusion coefficients of heavy quarks from the coherent color electromagnetic fields which are generated in the early stage of relativistic heavy-ion collisions are calculated…
Kinetic theory of a longitudinally expanding system of scalar particles
Thomas Epelbaum, Francois Gelis, Sangyong Jeon +2
A simple kinematical argument suggests that the classical approximation may be inadequate to describe the evolution of a system with an anisotropic particle distribution. In order…
Perturbative Vacuum Wavefunctional for Gauge Theories in the Milne Space
Sangyong Jeon, Thomas Epelbaum
The spectrum of vacuum fluctuations in the Milne space (i.e. the tau-eta coordinate system) is an important ingredient in the thermalization studies in relativistic heavy ion colli…
Lattice worldline representation of correlators in a background field
Thomas Epelbaum, Francois Gelis, Bin Wu
We use a discrete worldline representation in order to study the continuum limit of the one-loop expectation value of dimension two and four local operators in a background field.…