Maximilian Soelch
Technical University of Munich(DE)Volkswagen Group (United States)(US)
Publications by Year
Research Areas
Gaussian Processes and Bayesian Inference, Machine Learning in Healthcare, Video Surveillance and Tracking Methods, Reinforcement Learning in Robotics, Generative Adversarial Networks and Image Synthesis
Most-Cited Works
- → Deep Variational Bayes Filters: Unsupervised Learning of State Space\n Models from Raw Data(2016)182 cited
- → Variational Inference for On-line Anomaly Detection in High-Dimensional Time Series(2016)39 cited
- → Unsupervised Real-Time Control Through Variational Empowerment(2022)32 cited
- → Approximate Bayesian Inference in Spatial Environments(2019)15 cited
- → Latent Matters: Learning Deep State-Space Models(2026)8 cited
- → Variational Tracking and Prediction with Generative Disentangled State-Space Models(2019)3 cited
- → Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models(2021)1 cited