Co-occurring keywords · papers mentioning both
Papers
What's Wrong With That Object? Identifying Images of Unusual Objects by Modelling the Detection Score Distribution
CVPR 2016
A class of network models recoverable by spectral clustering
NeurIPS 2015
A Recurrent Latent Variable Model for Sequential Data
NeurIPS 2015
A Statistical Model of Riemannian Metric Variation for Deformable Shape Analysis
CVPR 2015
A Versatile Scene Model With Differentiable Visibility Applied to Generative Pose Estimation
ICCV 2015
Bidirectional Recurrent Neural Networks as Generative Models
NeurIPS 2015
Biologically Inspired Dynamic Textures for Probing Motion Perception
NeurIPS 2015
Celeste: Variational inference for a generative model of astronomical images
ICML 2015
Consensus Message Passing for Layered Graphical Models
AISTATS 2015
Data Generation as Sequential Decision Making
NeurIPS 2015
Deep Poisson Factor Modeling
NeurIPS 2015
Deep Temporal Sigmoid Belief Networks for Sequence Modeling
NeurIPS 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
ICML 2015
Entropic Graph-based Posterior Regularization
ICML 2015
Fast Classification Rates for High-dimensional Gaussian Generative Models
NeurIPS 2015
Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning
NeurIPS 2015
Generative Image Modeling Using Spatial LSTMs
NeurIPS 2015
Latent Trees for Estimating Intensity of Facial Action Units
CVPR 2015
Learning Deep Sigmoid Belief Networks with Data Augmentation
AISTATS 2015
Learning to Generate Chairs With Convolutional Neural Networks
CVPR 2015
Learning to Linearize Under Uncertainty
NeurIPS 2015
MADE: Masked Autoencoder for Distribution Estimation
ICML 2015
Mind the Gap: A Generative Approach to Interpretable Feature Selection and Extraction
NeurIPS 2015
Picture: A Probabilistic Programming Language for Scene Perception
CVPR 2015
Probabilistic Curve Learning: Coulomb Repulsion and the Electrostatic Gaussian Process
NeurIPS 2015