Memory safe computations with XLA compiler

von Artemev, Artem
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 25 of 50 (2023)

Relaxing Equivariance Constraints with Non-stationary Continuous Filters

von van der Ouderaa, Tycho
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 44 of 50 (2023)

Speedy Performance Estimation for Neural Architecture Search

von Ru, Robin
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 6 of 36 (2022)

Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations

von Immer, Alexander
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 17 of 50 (2023)

Deep Neural Networks as Point Estimates for Deep Gaussian Processes

von Dutordoir, Vincent
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 12 of 36 (2022)

SnAKe: Bayesian Optimization with Pathwise Exploration

von Folch, Jose Pablo
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 46 of 50 (2023)

Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty

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