research
∙
07/21/2020
Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding
We construct an unsupervised learning model that achieves nonlinear dise...
share
research
∙
04/27/2020
Towards causal generative scene models via competition of experts
Learning how to model complex scenes in a modular way with recombinable ...
research
∙
09/17/2019
Compositional uncertainty in deep Gaussian processes
Gaussian processes (GPs) are nonparametric priors over functions, and fi...
research
∙
07/01/2019
Accurate, reliable and fast robustness evaluation
Throughout the past five years, the susceptibility of neural networks to...
research
∙
05/30/2019
Monotonic Gaussian Process Flow
We propose a new framework of imposing monotonicity constraints in a Bay...
research
∙
11/28/2018
One-Shot Instance Segmentation
We tackle one-shot visual search by example for arbitrary object categor...
research
∙
11/26/2018
Sequence Alignment with Dirichlet Process Mixtures
We present a probabilistic model for unsupervised alignment of high-dime...
research
∙
07/07/2018
One-shot Texture Segmentation
We introduce one-shot texture segmentation: the task of segmenting an in...
research
∙
05/31/2016
