Variable selection and functional form uncertainty in cross-country growth regressions

von Salimans, Tim
Veröffentlicht in Journal of econometrics (2012)

Essays in likelihood-based computational econometrics : = Over de rekenkundige aspecten van de op aannemelijkheid gebaseerde econometric

von Salimans, Tim
Veröffentlicht 2013

Variable selection and functional form uncertainty in cross-country growth regressions

von Salimans, Tim
Veröffentlicht 2011

The likelihood of mixed hitting times

von Abbring, Jaap H.
Veröffentlicht in Journal of econometrics (2021)

Variational Diffusion Models

von Kingma, Diederik
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 26 of 36 (2022)

Video Diffusion Models

von Ho, Jonathan
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 12 of 50 (2023)

A Spectral Energy Distance for Parallel Speech Synthesis

von Gritsenko, Alexey
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 16 of 27 (2021)

THE K-TIED NORMAL DISTRIBUTION: A COMPACT PARAMETERIZATION OF GAUSSIAN MEAN FIELD POSTERIORS IN BAYESIAN NEURAL NETWORKS

von Swiatkowski, Jakub
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 12 of 15 (2021)

HOW GOOD IS THE BAYES POSTERIOR IN DEEP NEURAL NETWORKS REALLY?

von Wenzel, Florian
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 14 of 15 (2021)

Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

von Saharia, Chitwan
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 47 of 50 (2023)