3 citations · 3 across the 1 of their papers we have counts for
6 papers
Genetic algorithms with DNN-based trainable crossover as an example of partial specialization of general search
Alexey Potapov, Sergey Rodionov
Universal induction relies on some general search procedure that is doomed to be inefficient. One possibility to achieve both generality and efficiency is to specialize this proced…
Improving Deep Models of Person Re-identification for Cross-Dataset Usage
Sergey Rodionov, Alexey Potapov, Hugo Latapie +2
Person re-identification (Re-ID) is the task of matching humans across cameras with non-overlapping views that has important applications in visual surveillance. Like other compute…
Metric Embedding Autoencoders for Unsupervised Cross-Dataset Transfer Learning
Alexey Potapov, Sergey Rodionov, Hugo Latapie +1
Cross-dataset transfer learning is an important problem in person re-identification (Re-ID). Unfortunately, not too many deep transfer Re-ID models exist for realistic settings of…
HyperNets and their application to learning spatial transformations
Alexey Potapov, Oleg Shcherbakov, Innokentii Zhdanov +2
In this paper we propose a conceptual framework for higher-order artificial neural networks. The idea of higher-order networks arises naturally when a model is required to learn so…
Vision System for AGI: Problems and Directions
Alexey Potapov, Sergey Rodionov, Maxim Peterson +3
What frameworks and architectures are necessary to create a vision system for AGI? In this paper, we propose a formal model that states the task of perception within AGI. We show t…
Cognitive Bias for Universal Algorithmic Intelligence
Alexey Potapov, Sergey Rodionov, Andrew Myasnikov +1
Existing theoretical universal algorithmic intelligence models are not practically realizable. More pragmatic approach to artificial general intelligence is based on cognitive arch…