Yi-An Ma
University of California San Diego(US)Duke-NUS Medical School(SG)
Publications by Year
Research Areas
Markov Chains and Monte Carlo Methods, Gaussian Processes and Bayesian Inference, Machine Learning and Algorithms, Stochastic Gradient Optimization Techniques, Model Reduction and Neural Networks
Most-Cited Works
- → Single-cell mRNA quantification and differential analysis with Census(2017)2,084 cited
- → Mapping transcriptomic vector fields of single cells(2022)458 cited
- → Underspecification Presents Challenges for Credibility in Modern Machine Learning(2020)430 cited
- → Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States(2022)305 cited
- → A Complete Recipe for Stochastic Gradient MCMC(2015)197 cited
- → The United States COVID-19 Forecast Hub dataset(2022)123 cited
- → Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US(2021)77 cited
- → Quantifying Uncertainty in Deep Spatiotemporal Forecasting(2021)54 cited
- → Is There an Analog of Nesterov Acceleration for MCMC?(2019)44 cited