no code implementations • NeurIPS 2017 • Isabeau Prémont-Schwarz, Alexander Ilin, Tele Hotloo Hao, Antti Rasmus, Rinu Boney, Harri Valpola
We propose a recurrent extension of the Ladder networks whose structure is motivated by the inference required in hierarchical latent variable models.
2 code implementations • NeurIPS 2016 • Klaus Greff, Antti Rasmus, Mathias Berglund, Tele Hotloo Hao, Jürgen Schmidhuber, Harri Valpola
We present a framework for efficient perceptual inference that explicitly reasons about the segmentation of its inputs and features.