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density estimation

397 papers

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Also known as

KL

Co-occurring keywords

normalizing flow (354) generative model (2889) crowd counting (101) variational inference (2069) unsupervised learning (3255) anomaly detection (740) autoregressive model (453) bayesian inference (1904) neural network (6616) variational autoencoder (1282)

Papers

Attention Scaling for Crowd Counting CVPR 2020
Density-Aware Feature Embedding for Face Clustering CVPR 2020
Normalizing Flows With Multi-Scale Autoregressive Priors CVPR 2020
Deep Residual Flow for Out of Distribution Detection CVPR 2020
Kernel Conditional Density Operators AISTATS 2020
Neural Likelihoods via Cumulative Distribution Functions UAI 2020
Residual Sum-Product Networks PGM 2020
Sum-Product-Transform Networks: Exploiting Symmetries using Invertible Transformations PGM 2020
Faster Wasserstein Distance Estimation with the Sinkhorn Divergence NIPS 2020
Robust Persistence Diagrams using Reproducing Kernels NIPS 2020
Gradient Boosted Normalizing Flows NIPS 2020
Variable Skipping for Autoregressive Range Density Estimation ICML 2020
Autoregressive Score Matching NIPS 2020
Strudel: Learning Structured-Decomposable Probabilistic Circuits PGM 2020
Generative Flows with Matrix Exponential ICML 2020
Flows for simultaneous manifold learning and density estimation NIPS 2020
Locally Masked Convolution for Autoregressive Models UAI 2020
Nonparametric Fisher Geometry with Application to Density Estimation UAI 2020
Gaussianization Flows AISTATS 2020
Local Differential Privacy for Sampling AISTATS 2020
Reverse Perspective Network for Perspective-Aware Object Counting CVPR 2020
Shallow Feature Based Dense Attention Network for Crowd Counting AAAI 2020
Distribution Matching for Crowd Counting NIPS 2020
VFlow: More Expressive Generative Flows with Variational Data Augmentation ICML 2020
AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation ICML 2020