1 code implementation • ICLR Workshop Neural_Compression 2021 • Magda Gregorová, Marc Desaules, Alexandros Kalousis
We consider the problem of learned transform compression where we learn both, the transform as well as the probability distribution over the discrete codes.
no code implementations • 25 Nov 2019 • Frantzeska Lavda, Magda Gregorová, Alexandros Kalousis
We propose a novel formulation of variational autoencoders, conditional prior VAE (CP-VAE), which learns to differentiate between the individual mixture components and therefore allows for generations from the distributional data clusters.
1 code implementation • 16 May 2018 • Magda Gregorová, Alexandros Kalousis, Stéphane Marchand-Maillet
We investigate structured sparsity methods for variable selection in regression problems where the target depends nonlinearly on the inputs.
no code implementations • 19 Apr 2018 • Magda Gregorová, Jason Ramapuram, Alexandros Kalousis, Stéphane Marchand-Maillet
We propose a new method for input variable selection in nonlinear regression.
1 code implementation • 27 Jun 2017 • Magda Gregorová, Alexandros Kalousis, Stéphane Marchand-Maillet
Traditional linear methods for forecasting multivariate time series are not able to satisfactorily model the non-linear dependencies that may exist in non-Gaussian series.