NON-REVERSIBLE GAUSSIAN PROCESSES FOR IDENTIFYING LATENT DYNAMICAL STRUCTURE IN NEURAL DATA

von Rutten, Virginia
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 12 of 27 (2021)

MANIFOLD GPLVMS FOR DISCOVERING NON-EUCLIDEAN LATENT STRUCTURE IN NEURAL DATA

von Jensen, Kristopher
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 27 of 27 (2021)

Scalable Bayesian GPFA with automatic relevance determination and discrete noise models

von Jensen, Kristopher
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 13 of 36 (2022)

Natural continual learning: success is a journey, not (just) a destination

von Kao, Ta-Chu
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 33 of 36 (2022)