normalizing flow

The Convolution Exponential and Generalized Sylvester Flows NeurIPS 2020 The Expressive Power of a Class of Normalizing Flow Models AISTATS 2020 Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification NeurIPS 2020 Validation of Approximate Likelihood and Emulator Models for Computationally Intensive Simulations AISTATS 2020 Variational Neural Machine Translation with Normalizing Flows ACL 2020 VFlow: More Expressive Generative Flows with Variational Data Augmentation ICML 2020 VideoFlow: A Conditional Flow-Based Model for Stochastic Video Generation ICLR 2020 Wavelet Flow: Fast Training of High Resolution Normalizing Flows NeurIPS 2020 Why Normalizing Flows Fail to Detect Out-of-Distribution Data NeurIPS 2020 Woodbury Transformations for Deep Generative Flows NeurIPS 2020 Automatic Posterior Transformation for Likelihood-Free Inference ICML 2019 Block Neural Autoregressive Flow UAI 2019 Blow: a single-scale hyperconditioned flow for non-parallel raw-audio voice conversion NeurIPS 2019 ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech ICLR 2019 Copula-like Variational Inference NeurIPS 2019 Density Matching for Bilingual Word Embedding NAACL 2019 Discrete Flows: Invertible Generative Models of Discrete Data NeurIPS 2019 Embarrassingly Parallel MCMC using Deep Invertible Transformations UAI 2019 Emerging Convolutions for Generative Normalizing Flows ICML 2019 FFJORD: Free-Form Continuous Dynamics for Scalable Reversible Generative Models ICLR 2019 Flow-based Image-to-Image Translation with Feature Disentanglement NeurIPS 2019 Graph Normalizing Flows NeurIPS 2019 Hybrid Models with Deep and Invertible Features ICML 2019 Invertible Convolutional Flow NeurIPS 2019 Invertible Residual Networks ICML 2019