Dave Moore
Memorial Sloan Kettering Cancer Center(US)
Publications by Year
Research Areas
Gaussian Processes and Bayesian Inference, Generative Adversarial Networks and Image Synthesis, Machine Learning and Data Classification, Bayesian Modeling and Causal Inference, Machine Learning and Algorithms
Most-Cited Works
- → TensorFlow Distributions(2017)240 cited
- → Developmental Validation of the ParaDNA® Screening System - A presumptive test for the detection of DNA on forensic evidence items(2014)36 cited
- Simple, Distributed, and Accelerated Probabilistic Programming(2018)
- → tfp.mcmc: Modern Markov Chain Monte Carlo Tools Built for Modern Hardware(2020)17 cited
- → Stochastic Linear Programming and Feasibility Problems in Farm Growth Analysis(1967)16 cited
- → Joint Distributions for TensorFlow Probability(2020)11 cited
- → Automatic structured variational inference(2020)10 cited
- → Effect Handling for Composable Program Transformations in Edward2(2018)6 cited
- → Learning non-native vowel categories(2002)5 cited