Graphical Models for Computer Vision
Learning Representations: A Challenge for Learning Theory
Weighted Deduction as an Abstraction Level for AI
Generic Cuts: An Efficient Algorithm for Optimal Inference in Higher Order MRF-MAP
Large-Scale Learning and Inference: What We Have Learned with Markov Logic Networks
Making centralized (graph) computation faster, distributed and (at times) better
Convolutional Neural Networks and Computer Vision
Space Systems Engineering
Learning and Inference in Low-Level Vision
Poster Spotlights