16 citations · 17 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 1 cited
Quantification of Predictive Uncertainty via Inference-Time Sampling
Katarína Tóthová, Ľubor Ladický, Daniel Thul +2
Predictive variability due to data ambiguities has typically been addressed via construction of dedicated models with built-in probabilistic capabilities that are trained to predic…
cs.AI2012★ 16 cited
Exact and Approximate Inference in Associative Hierarchical Networks using Graph Cuts
Chris Russell, L'ubor Ladicky, Pushmeet Kohli +1
Markov Networks are widely used through out computer vision and machine learning. An important subclass are the Associative Markov Networks which are used in a wide variety of appl…