We introduce a novel robotic system for improving unseen object instance...
Segmenting unseen objects is a critical task in many different domains. ...
Statistical Relational Learning (SRL) models have attracted significant
...
Explainable machine learning and artificial intelligence models have bee...
A variety of lifted inference algorithms, which exploit model symmetry t...
Variational Auto-Encoders (VAEs) have been widely applied for learning
c...
Variational Auto-Encoders (VAEs) are capable of learning latent
represen...
We propose a simple and easy to implement neural network compression
alg...
Many machine learning tasks can be formulated in terms of predicting
str...
Gaussian belief propagation (GaBP) is an iterative algorithm for computi...
The max-product algorithm, a local message-passing scheme that attempts ...