Soelch, Maximilian

3 publications

NeurIPS 2021 Latent Matters: Learning Deep State-Space Models Alexej Klushyn, Richard Kurle, Maximilian Soelch, Botond Cseke, Patrick van der Smagt

ICLR 2021 Mind the Gap When Conditioning Amortised Inference in Sequential Latent-Variable Models Justin Bayer, Maximilian Soelch, Atanas Mirchev, Baris Kayalibay, Patrick van der Smagt

ICLR 2017 Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data Maximilian Karl, Maximilian Soelch, Justin Bayer, Patrick van der Smagt