invertible neural network

Quality-Agnostic Image Recognition via Invertible Decoder CVPR 2021 Rectangular Flows for Manifold Learning NeurIPS 2021 The Lipschitz Constant of Self-Attention ICML 2021 Understanding and Mitigating Exploding Inverses in Invertible Neural Networks AISTATS 2021 Video Rescaling Networks With Joint Optimization Strategies for Downscaling and Upscaling CVPR 2021 Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators NeurIPS 2020 Invertible generative models for inverse problems: mitigating representation error and dataset bias ICML 2020 Latent Normalizing Flows for Many-to-Many Cross-Domain Mappings ICLR 2020 Learning Joint Articulatory-Acoustic Representations with Normalizing Flows Interspeech 2020 Network-to-Network Translation with Conditional Invertible Neural Networks NeurIPS 2020 Two Birds with One Stone: Investigating Invertible Neural Networks for Inverse Problems in Morphology AAAI 2020 Analyzing Inverse Problems with Invertible Neural Networks ICLR 2019 Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples With Applications to Neuroimaging ICCV 2019 Integer Discrete Flows and Lossless Compression NeurIPS 2019 Invertible Convolutional Flow NeurIPS 2019 MintNet: Building Invertible Neural Networks with Masked Convolutions NeurIPS 2019 Unsupervised Learning of Syntactic Structure with Invertible Neural Projections EMNLP 2018