Fritz Obermeyer
Publications by Year
Research Areas
Gaussian Processes and Bayesian Inference, Target Tracking and Data Fusion in Sensor Networks, Model Reduction and Neural Networks, Bayesian Modeling and Causal Inference, Bayesian Methods and Mixture Models
Most-Cited Works
- → Pyro: Deep Universal Probabilistic Programming(2018)589 cited
- → nimble: MCMC, Particle Filtering, and Programmable Hierarchical Modeling(2016)100 cited
- Pathwise Derivatives Beyond the Reparameterization Trick(2018)
- → <title>Batch maximum likelihood (ML) and maximum a posteriori (MAP) estimation with process noise for tracking applications</title>(2003)17 cited
- → Functional Tensors for Probabilistic Programming(2019)11 cited
- → Scaling Nonparametric Bayesian Inference via Subsample-Annealing(2014)7 cited
- → <title>A Bayesian network tracking database</title>(2004)7 cited
- → Tensor Variable Elimination for Plated Factor Graphs(2019)7 cited
- → Short-term ambiguity assessment to augment tracking data association information(2005)7 cited