Bayesian Context Trees: Modelling and exact inference for discrete time series

2 code implementations • 29 Jul 2020 • Ioannis Kontoyiannis, Lambros Mertzanis, Athina Panotopoulou, Ioannis Papageorgiou, Maria Skoularidou

We develop a new Bayesian modelling framework for the class of higher-order, variable-memory Markov chains, and introduce an associated collection of methodological tools for exact inference with discrete time series.

Methodology Information Theory Information Theory Applications Computation

SkelNetOn 2019: Dataset and Challenge on Deep Learning for Geometric Shape Understanding

no code implementations • 21 Mar 2019 • Ilke Demir, Camilla Hahn, Kathryn Leonard, Geraldine Morin, Dana Rahbani, Athina Panotopoulou, Amelie Fondevilla, Elena Balashova, Bastien Durix, Adam Kortylewski

We present SkelNetOn 2019 Challenge and Deep Learning for Geometric Shape Understanding workshop to utilize existing and develop novel deep learning architectures for shape understanding.