| Generating realistic neurophysiological time series with denoising diffusion probabilistic models J Vetter, JH Macke, R Gao Cell Patterns 5 (9), 2023 | 11 | 2023 |
| A Practical Guide to Sample-based Statistical Distances for Evaluating Generative Models in Science S Bischoff, A Darcher, M Deistler, R Gao, F Gerken, M Gloeckler, L Haxel, ... Transactions on Machine Learning Research, 0 | 6* | |
| Modeling conditional distributions of neural and behavioral data with masked variational autoencoders A Schulz, J Vetter, R Gao, D Morales, V Lobato-Rios, P Ramdya, ... bioRxiv, 2024.04. 19.590082, 2024 | 4 | 2024 |
| Sourcerer: Sample-based maximum entropy source distribution estimation J Vetter*, G Moss*, C Schröder, R Gao, JH Macke Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS), 2024 | 3 | 2024 |
| Latent diffusion for neural spiking data J Kapoor, A Schulz, J Vetter, F Pei, R Gao, JH Macke Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS), 2024 | 1 | 2024 |
| Neonatal apnea and hypopnea prediction in infants with Robin sequence with neural additive models for time series J Vetter, K Lim, TMH Dijkstra, PA Dargaville, O Kohlbacher, JH Macke, ... medRxiv, 2023.03. 14.23287021, 2023 | 1 | 2023 |
| sbi reloaded: a toolkit for simulation-based inference workflows J Boelts, M Deistler, M Gloeckler, Á Tejero-Cantero, JM Lueckmann, ... arXiv preprint arXiv:2411.17337, 2024 | | 2024 |
