density estimation

Robust Persistence Diagrams using Reproducing Kernels NeurIPS 2020 Shallow Feature Based Dense Attention Network for Crowd Counting AAAI 2020 Strudel: Learning Structured-Decomposable Probabilistic Circuits PGM 2020 Sum-Product-Transform Networks: Exploiting Symmetries using Invertible Transformations PGM 2020 SURF: A Simple, Universal, Robust, Fast Distribution Learning Algorithm NeurIPS 2020 Tails of Lipschitz Triangular Flows ICML 2020 Variable Skipping for Autoregressive Range Density Estimation ICML 2020 VFlow: More Expressive Generative Flows with Variational Data Augmentation ICML 2020 Adaptive Density Estimation for Generative Models NeurIPS 2019 ADCrowdNet: An Attention-Injective Deformable Convolutional Network for Crowd Understanding CVPR 2019 A Generative Adversarial Density Estimator CVPR 2019 Almost Unsupervised Learning for Dense Crowd Counting AAAI 2019 Attentional Neural Fields for Crowd Counting ICCV 2019 Automatic Bayesian Density Analysis AAAI 2019 Block Neural Autoregressive Flow UAI 2019 Boosted Density Estimation Remastered ICML 2019 Context-Aware Crowd Counting CVPR 2019 Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks CVPR 2019 Do Deep Generative Models Know What They Don't Know? ICLR 2019 Efficient Protocol for Collaborative Dictionary Learning in Decentralized Networks IJCAI 2019 Estimation of Non-Normalized Mixture Models AISTATS 2019 Estimation of smooth densities in Wasserstein distance COLT 2019 FFJORD: Free-Form Continuous Dynamics for Scalable Reversible Generative Models ICLR 2019 Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design ICML 2019 Forward-Backward Generative Adversarial Networks for Anomaly Detection ACML 2019