Geoffrey Roeder

5 papers and 78 indexed citations i.

Geoffrey Roeder is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Biophysics. According to data from OpenAlex, Geoffrey Roeder has authored 5 papers receiving a total of 78 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Statistical and Nonlinear Physics and 1 paper in Biophysics. Recurrent topics in Geoffrey Roeder’s work include Gaussian Processes and Bayesian Inference (2 papers), Model Reduction and Neural Networks (2 papers) and Statistical Methods and Inference (1 paper). Geoffrey Roeder is often cited by papers focused on Gaussian Processes and Bayesian Inference (2 papers), Model Reduction and Neural Networks (2 papers) and Statistical Methods and Inference (1 paper). Geoffrey Roeder collaborates with scholars based in United States, Canada and The Netherlands. Geoffrey Roeder's co-authors include Yuhuai Wu, David Duvenaud, Paul K. Grant, Will Grathwohl and Sigrid Adriaenssens and has published in prestigious journals such as Soft Matter.