Co-occurring keywords · papers mentioning both
Papers
Error-Aware Density Isomorphism Reconstruction for Unsupervised Cross-Domain Crowd Counting
AAAI 2021
Exploiting Sample Correlation for Crowd Counting With Multi-Expert Network
ICCV 2021
Faster Kernel Matrix Algebra via Density Estimation
ICML 2021
GBHT: Gradient Boosting Histogram Transform for Density Estimation
ICML 2021
Generalized Energy Based Models
ICLR 2021
Graphical Normalizing Flows
AISTATS 2021
Hierarchical infinite relational model
UAI 2021
Hierarchical VAEs Know What They Don’t Know
ICML 2021
HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference
AAAI 2021
How is BERT surprised? Layerwise detection of linguistic anomalies
ACL 2021
HyperSPNs: Compact and Expressive Probabilistic Circuits
NeurIPS 2021
Imitation with Neural Density Models
NeurIPS 2021
Invertible DenseNets with Concatenated LipSwish
NeurIPS 2021
Moser Flow: Divergence-based Generative Modeling on Manifolds
NeurIPS 2021
Neural Flows: Efficient Alternative to Neural ODEs
NeurIPS 2021
Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning
AAAI 2021
On Empirical Bayes Variational Autoencoder: An Excess Risk Bound
COLT 2021
On Memorization in Probabilistic Deep Generative Models
NeurIPS 2021
Optimal Rates for Nonparametric Density Estimation under Communication Constraints
NeurIPS 2021
OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport
AAAI 2021
PixelPyramids: Exact Inference Models From Lossless Image Pyramids
ICCV 2021
Probabilistic Generating Circuits
ICML 2021
PSD Representations for Effective Probability Models
NeurIPS 2021
Random probabilistic circuits
UAI 2021
Rectangular Flows for Manifold Learning
NeurIPS 2021