normalizing flow

Latent Variable Modelling with Hyperbolic Normalizing Flows ICML 2020 Learning Joint Articulatory-Acoustic Representations with Normalizing Flows Interspeech 2020 Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution Alignment NeurIPS 2020 McFlow: Monte Carlo Flow Models for Data Imputation CVPR 2020 Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows NeurIPS 2020 NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity NeurIPS 2020 Normalizing Flows on Tori and Spheres ICML 2020 Normalizing Flows With Multi-Scale Autoregressive Priors CVPR 2020 Normalizing Kalman Filters for Multivariate Time Series Analysis NeurIPS 2020 On the Discrepancy between Density Estimation and Sequence Generation EMNLP 2020 On the Sentence Embeddings from Pre-trained Language Models EMNLP 2020 Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts NeurIPS 2020 Relational State-Space Model for Stochastic Multi-Object Systems ICLR 2020 Relative gradient optimization of the Jacobian term in unsupervised deep learning NeurIPS 2020 Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows ICML 2020 Riemannian Continuous Normalizing Flows NeurIPS 2020 Robust Front-End for Multi-Channel ASR using Flow-Based Density Estimation IJCAI 2020 Semi-Supervised Learning with Normalizing Flows ICML 2020 SoftFlow: Probabilistic Framework for Normalizing Flow on Manifolds NeurIPS 2020 STEER : Simple Temporal Regularization For Neural ODE NeurIPS 2020 Stochastic Flows and Geometric Optimization on the Orthogonal Group ICML 2020 Stochastic Normalizing Flows NeurIPS 2020 Structured Output Learning with Conditional Generative Flows AAAI 2020 SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows NeurIPS 2020 Tails of Lipschitz Triangular Flows ICML 2020