Showing 1–20 of 20 results
/ Date/ Name
Jul 3, 2019Supervised Uncertainty Quantification for Segmentation with Multiple AnnotationsNov 29, 2019Learning Likelihoods with Conditional Normalizing FlowsJul 31, 2019Uncertainty Quantification in Deep Learning for Safer Neuroimage EnhancementFeb 7, 2022Message Passing Neural PDE SolversApr 12, 2018CubeNet: Equivariance to 3D Rotation and TranslationSep 17, 2025Discovery of Unstable SingularitiesMay 12, 2019Learning to Convolve: A Generalized Weight-Tying ApproachFeb 7, 2019Reversible GANs for Memory-efficient Image-to-Image TranslationMar 4, 2022Neural Simulated AnnealingNov 20, 2017Virtual Adversarial Ladder Networks For Semi-supervised LearningAug 1, 2019Chest CT Super-resolution and Domain-adaptation using Memory-efficient 3D Reversible GANsFeb 15, 2022Lie Point Symmetry Data Augmentation for Neural PDE SolversDec 14, 2016Harmonic Networks: Deep Translation and Rotation EquivarianceJun 18, 2020SE(3)-Transformers: 3D Roto-Translation Equivariant Attention NetworksNov 18, 2019Affine Self ConvolutionJun 30, 2020MDP Homomorphic Networks: Group Symmetries in Reinforcement LearningMay 1, 2017Bayesian Image Quality Transfer with CNNs: Exploring Uncertainty in dMRI Super-ResolutionMay 28, 2019Deep Scale-spaces: Equivariance Over ScaleOct 19, 2017Interpretable Transformations with Encoder-Decoder NetworksSep 1, 2022Learning Perturbations for Soft-Output Linear MIMO Demappers