density estimation

Graphite: Iterative Generative Modeling of Graphs ICML 2019 Hierarchical Decompositional Mixtures of Variational Autoencoders ICML 2019 Invertible Residual Networks ICML 2019 Latent Space Autoregression for Novelty Detection CVPR 2019 Learning by Unsupervised Nonlinear Diffusion JMLR 2019 Learning deep kernels for exponential family densities ICML 2019 Learn to Scale: Generating Multipolar Normalized Density Maps for Crowd Counting ICCV 2019 Leveraging Heterogeneous Auxiliary Tasks to Assist Crowd Counting CVPR 2019 MaCow: Masked Convolutional Generative Flow NeurIPS 2019 MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders ICLR 2019 Multivariate Triangular Quantile Maps for Novelty Detection NeurIPS 2019 Neural Spline Flows NeurIPS 2019 On Fenchel Mini-Max Learning NeurIPS 2019 On Learning Density Aware Embeddings CVPR 2019 Perspective-Guided Convolution Networks for Crowd Counting ICCV 2019 PIDForest: Anomaly Detection via Partial Identification NeurIPS 2019 Relational Attention Network for Crowd Counting ICCV 2019 Residual Flows for Invertible Generative Modeling NeurIPS 2019 Residual Regression With Semantic Prior for Crowd Counting CVPR 2019 Sliced Score Matching: A Scalable Approach to Density and Score Estimation UAI 2019 Sum-of-Squares Polynomial Flow ICML 2019 The Optimal Approximation Factor in Density Estimation COLT 2019 Toward a Characterization of Loss Functions for Distribution Learning NeurIPS 2019 Unconstrained Monotonic Neural Networks NeurIPS 2019 Uniform Convergence Rate of the Kernel Density Estimator Adaptive to Intrinsic Volume Dimension ICML 2019