article-journal

Mixture-of-Experts Variational Autoencoder for clustering and generating from similarity-based representations on single cell data

Andreas Kopf, Vincent Fortuin, Vignesh Ram Somnath, Manfred Claassen

Repulsive deep ensembles are Bayesian

Francesco D'Angelo, Vincent Fortuin

Sparse Gaussian processes on discrete domains

Vincent Fortuin, Gideon Dresdner, Heiko Strathmann, Gunnar Rätsch

Photonic Inverse Design with Neural Networks: The Case of Invisibility in the Visible

Arsen Sheverdin, Francesco Monticone, Constantinos Valagiannopoulos

Deep learning for quark--gluon plasma detection in the CBM experiment

Fedor Sergeev, Elena Bratkovskaya, Ivan Kisel, Iouri Vassiliev

Extensive air showers event reconstruction using spatial and temporary particle distribution at Horizon-T experiment

D Beznosko, K Yelshibekov, R U Beisembaev, E A Beisembaeva, T Beremkulov, A Iakovlev, S Jakupov, A Sheverdin, Z Tagay, T Uakhitov, M I Vildanova, V V Zhukov

Sparse Gaussian process variational autoencoders

Matthew Ashman, Jonathan So, Will Tebbutt, Vincent Fortuin, Michael Pearce, Richard E Turner

Core-shell nanospheres under visible light: Optimal absorption, scattering, and cloaking

Arsen Sheverdin, Constantinos Valagiannopoulos

DPSOM: Deep probabilistic clustering with self-organizing maps

Laura Manduchi, Matthias Hüser, Julia Vogt, Gunnar Rätsch, Vincent Fortuin

Supervised learning on synthetic data for reverse engineering gene regulatory networks from experimental time-series

Stefan Ganscha, Vincent Fortuin, Max Horn, Eirini Arvaniti, Manfred Claassen