1 citations · 1 across the 2 of their papers we have counts for
5 papers
Intrinsic Motivation in Reinforcement Learning: A Research Agenda for Adaptive Self-Organisation
Anatoly Belikov
Biological cells can be viewed as individual, interacting agents whose collective dynamics give rise to adaptive behaviour at multiple levels of organisation, from individual cells…
GoodPoint: unsupervised learning of keypoint detection and description
Anatoly Belikov, Alexey Potapov
This paper introduces a new algorithm for unsupervised learning of keypoint detectors and descriptors, which demonstrates fast convergence and good performance across different dat…
Distillation of neural network models for detection and description of key points of images
A. V. Yashchenko, A. V. Belikov, M. V. Peterson +1
Image matching and classification methods, as well as synchronous location and mapping, are widely used on embedded and mobile devices. Their most resource-intensive part is the de…
Differentiable Probabilistic Logic Networks
Alexey Potapov, Anatoly Belikov, Vitaly Bogdanov +1
Probabilistic logic reasoning is a central component of such cognitive architectures as OpenCog. However, as an integrative architecture, OpenCog facilitates cognitive synergy via…
Theano: A Python framework for fast computation of mathematical expressions
The Theano Development Team, Rami Al-Rfou, Guillaume Alain +110
Theano is a Python library that allows to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Since its introduction, it has bee…