Browsing Universitätsbibliographie by Author "Gao, Richard"

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A Practical Guide to Statistical Distances for Evaluating Generative Models in Science

Bischoff, Sebastian; Darcher, Alana; Deistler, Michael; Gao, Richard; Gerken, Franziska; Gloeckler, Manuel; Haxel, Lisa; Kapoor, Jaivardhan; Lappalainen, Janne K; Macke, Jakob H.; Moss, Guy; Pals, Matthijs; Pei, Felix; Rapp, Rachel; Sağtekin, Erdem; Schröder, Cornelius; Schulz, Auguste; Stefanidi, Zinovia; Toyota, Shoji; Ulmer, Linda; Vetter, Julius (2024)
Flexible and efficient simulation-based inference for models of decision-making

Boelts, Jan; Lueckmann, Jan-Matthis; Gao, Richard; Macke, Jakob H. (2022)
Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation

Macke, Jakob H.; Deistler, Michael; Gao, Richard (2023)
Generating realistic neurophysiological time series with denoising diffusion probabilistic models

Macke, Jakob H.; Vetter, Julius; Gao, Richard (2023)
Modeling conditional distributions of neural and behavioral data with masked variational autoencoders

Schulz, Auguste; Vetter, Julius; Gao, Richard; Morales, Daniel; Lobato-Rios, Victor; Ramdya, Pavan; Gonçalves, Pedro J.; Macke, Jakob H. (2024)
Neural timescales from a computational perspective

Zeraati, Roxana; Levina, Anna; Macke, Jakob H.; Gao, Richard (2024)
Simulation-based inference for efficient identification of generative models in computational connectomics

Boelts, Jan; Harth, Philipp; Gao, Richard; Udvary, Daniel; Yanez, Felipe; Baum, Daniel; Hege, Hans-Christian; Oberlaender, Marcel; Macke, Jakob (2023)
Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation

Vetter, Julius; Moss, Guy; Schröder, Cornelius; Gao, Richard; Macke, Jakob H. (2024)

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