Markus Heinonen

activity

20142024

most citedODE

^{2}

VAE: Deep generative second order ODEs with Bayesian neural networks

99 citations · 347 across the 39 of their papers we have counts for

collaborators

Showing 2019Show all

2 papers · 1 filter

stat.ML2019★ 99 cited

ODE $^{2}$ VAE: Deep generative second order ODEs with Bayesian neural networks

Çağatay Yıldız, Markus Heinonen, Harri Lähdesmäki

We present Ordinary Differential Equation Variational Auto-Encoder (ODE $^{2}$ VAE), a latent second order ODE model for high-dimensional sequential data. Leveraging the advances in de…

stat.ML2019★ 6 cited

Learning spectrograms with convolutional spectral kernels

Zheyang Shen, Markus Heinonen, Samuel Kaski

We introduce the convolutional spectral kernel (CSK), a novel family of non-stationary, nonparametric covariance kernels for Gaussian process (GP) models, derived from the convolut…

ODE2VAE: Deep generative second order ODEs with Bayesian neural networks

Learning spectrograms with convolutional spectral kernels

ODE $^{2}$ VAE: Deep generative second order ODEs with Bayesian neural networks