Marrying Graphical Models & Deep Learning
Rule Learning from Knowledge Graphs Guided by Embedding Models
The Infinite Factorial Hidden Markov Model
Generative Models I
Experiments with Non-parametric Topic Models
Latent Factor Models for Relational Arrays and Network Data
Beam Sampling for the Infinite Hidden Markov Model
Approximate Inference for Planning in Stochastic Relational Worlds
Fast Query Execution for Retrieval Models Based on Path-Constrained Random Walks
Demixing odors - fast inference in olfaction