Richard Kurle

Normalizing Kalman Filters for Multivariate Time Series Analysis

Patrick Gallinari, Syama Sundar Rangapuram, Emmanuel de Bézenac, 2020, NeurIPS.

Deep Rao-Blackwellised Particle Filters for Time Series Forecasting

Stephan Günnemann, Syama Sundar Rangapuram, Emmanuel de Bézenac, 2020, NeurIPS.

Learning Hierarchical Priors in VAEs

Patrick van der Smagt, Botond Cseke, Nutan Chen, 2019, NeurIPS.

I Hear You Eat and Speak: Automatic Recognition of Eating Condition and Food Type, Use-Cases, and Impact on ASR Performance

Fabien Ringeval, Björn Schuller, Anton Batliner, 2016, PloS one.

Continual Learning with Bayesian Neural Networks for Non-Stationary Data

Botond Cseke, Patrick van der Smagt, Stephan Günnemann, 2020, ICLR.

Metrics for Deep Generative Models

Xueyan Jiang, Justin Bayer, Patrick van der Smagt, 2017, AISTATS.

Multi-Source Neural Variational Inference pdf

Patrick van der Smagt, Stephan Günnemann, Richard Kurle, 2018, AAAI.

Deep Explicit Duration Switching Models for Time Series pdf

Alexander J. Smola, Harold Soh, Konstantinos Benidis, 2021, NeurIPS.