Alexey Potapov

According to our database, Alexey Potapov authored at least 35 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

OpenCog Hyperon: A Framework for AGI at the Human Level and Beyond.

Ben Goertzel, Vitaly Bogdanov, Michael Duncan, Deborah Duong, Zarathustra Amadeus Goertzel, Jan Horlings, Matthew Iklé, Lucius Gregory Meredith, Alexey Potapov, Andre Luiz de Senna, Hedra Seid, Andres Suarez, Adam Vandervorst, Robert Werko

CoRR, 2023

2022

A Meta-Probabilistic-Programming Language for Bisimulation of Probabilistic and Non-Well-Founded Type Systems.

Jonathan Warrell, Alexey Potapov, Adam Vandervorst, Ben Goertzel

Proceedings of the Artificial General Intelligence - 15th International Conference, 2022

General-Purpose Minecraft Agents and Hybrid AGI.

Alexey Potapov, Anatoly Belikov, Oleg Scherbakov, Vitaly Bogdanov

Proceedings of the Artificial General Intelligence - 15th International Conference, 2022

2021

Univalent Foundations of AGI are (not) All You Need.

Alexey Potapov, Vitaly Bogdanov

Proceedings of the Artificial General Intelligence - 14th International Conference, 2021

2020

Distillation of neural network models for detection and description of key points of images.

A. V. Yashchenko, Anatoly Belikov, M. V. Peterson, Alexey Potapov

CoRR, 2020

GoodPoint: unsupervised learning of keypoint detection and description.

Anatoly Belikov, Alexey Potapov

CoRR, 2020

Analyzing Elementary School Olympiad Math Tasks as a Benchmark for AGI.

Alexey Potapov, Oleg Scherbakov, Vitaly Bogdanov, Vita Potapova, Anatoly Belikov, Sergey Rodionov, Artem Yashenko

Proceedings of the Artificial General Intelligence - 13th International Conference, 2020

2019

Differentiable Probabilistic Logic Networks.

Alexey Potapov, Anatoly Belikov, Vitaly Bogdanov, Alexander Scherbatiy

CoRR, 2019

Cognitive Module Networks for Grounded Reasoning.

Alexey Potapov, Anatoly Belikov, Vitaly Bogdanov, Alexander Scherbatiy

Proceedings of the Artificial General Intelligence - 12th International Conference, 2019

2018

Technological Singularity: What Do We Really Know?

Alexey Potapov

Inf., 2018

Improving Deep Models of Person Re-identification for Cross-Dataset Usage.

Sergey Rodionov, Alexey Potapov, Hugo Latapie, Enzo Fenoglio, Maxim Peterson

Proceedings of the Artificial Intelligence Applications and Innovations, 2018

HyperNets and Their Application to Learning Spatial Transformations.

Alexey Potapov, Oleg Shcherbakov, Innokentii Zhdanov, Sergey Rodionov, Nikolai Skorobogatko

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Metric Embedding Autoencoders for Unsupervised Cross-Dataset Transfer Learning.

Alexey Potapov, Sergey Rodionov, Hugo Latapie, Enzo Fenoglio

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Semantic Image Retrieval by Uniting Deep Neural Networks and Cognitive Architectures.

Alexey Potapov, Innokentii Zhdanov, Oleg Scherbakov, Nikolai Skorobogatko, Hugo Latapie, Enzo Fenoglio

Proceedings of the Artificial General Intelligence - 11th International Conference, 2018

Vision System for AGI: Problems and Directions.

Alexey Potapov, Sergey Rodionov, Maxim Peterson, Oleg Scherbakov, Innokentii Zhdanov, Nikolai Skorobogatko

Proceedings of the Artificial General Intelligence - 11th International Conference, 2018

2017

Genetic Algorithms with DNN-Based Trainable Crossover as an Example of Partial Specialization of General Search.

Alexey Potapov, Sergey Rodionov

Proceedings of the Artificial General Intelligence - 10th International Conference, 2017

2016

A feasibility study of an autoencoder meta-model for improving generalization capabilities on training sets of small sizes.

Alexey Potapov, Vita Potapova, Maxim Peterson

Pattern Recognit. Lett., 2016

A Step from Probabilistic Programming to Cognitive Architectures.

Alexey Potapov

CoRR, 2016

A Generative Probabilistic Model for Leaning Complex Visual Stimuli.

Alexey Potapov, Vita Batishcheva

Proceedings of the 7th Annual International Conference on Biologically Inspired Cognitive Architectures, 2016

Real-Time GA-Based Probabilistic Programming in Application to Robot Control.

Alexey Potapov, Sergey Rodionov, Vita Potapova

Proceedings of the Artificial General Intelligence - 9th International Conference, 2016

2015

Optimization Framework with Minimum Description Length Principle for Probabilistic Programming.

Alexey Potapov, Vita Batishcheva, Sergey Rodionov

Proceedings of the Artificial General Intelligence, 2015

Genetic Programming on Program Traces as an Inference Engine for Probabilistic Languages.

Vita Batishcheva, Alexey Potapov

Proceedings of the Artificial General Intelligence, 2015

2014

Universal empathy and ethical bias for artificial general intelligence.

Alexey Potapov, Sergey Rodionov

J. Exp. Theor. Artif. Intell., 2014

Limited Generalization Capabilities of Autoencoders with Logistic Regression on Training Sets of Small Sizes.

Alexey Potapov, Vita Batishcheva, Maxim Peterson

Proceedings of the Artificial Intelligence Applications and Innovations, 2014

Universalization of narrow methods: Case study on autoencoders.

Alexey Potapov, Vita Batishcheva, Shuchao Pang

Proceedings of the IEEE 3rd International Conference on Cloud Computing and Intelligence Systems, 2014

Making Universal Induction Efficient by Specialization.

Alexey Potapov, Sergey Rodionov

Proceedings of the Artificial General Intelligence - 7th International Conference, 2014

2013

Direct Uncertainty Estimation in Reinforcement Learning.

Sergey Rodionov, Alexey Potapov, Yurii Vinogradov

CoRR, 2013

Practical algorithmic probability: an image inpainting example.

Alexey Potapov, Oleg Scherbakov, Innokentii Zhdanov

Proceedings of the Sixth International Conference on Machine Vision, 2013

Universal Induction with Varying Sets of Combinators.

Alexey Potapov, Sergey Rodionov

Proceedings of the Artificial General Intelligence - 6th International Conference, 2013

2012

Cognitive Bias for Universal Algorithmic Intelligence

Alexey Potapov, Sergey Rodionov, Andrew Myasnikov, Galymzhan Begimov

CoRR, 2012

A Representational MDL Framework for Improving Learning Power of Neural Network Formalisms.

Alexey Potapov, Maxim Peterson

Proceedings of the Artificial Intelligence Applications and Innovations, 2012

Differences between Kolmogorov Complexity and Solomonoff Probability: Consequences for AGI.

Alexey Potapov, Andrew Svitenkov, Yurii Vinogradov

Proceedings of the Artificial General Intelligence - 5th International Conference, 2012

Extending Universal Intelligence Models with Formal Notion of Representation.

Alexey Potapov, Sergey Rodionov

Proceedings of the Artificial General Intelligence - 5th International Conference, 2012

2011

Spectral-Differential Feature Matching and Clustering for Multi-body Motion Estimation.

Anton N. Averkin, Igor Gurov, Maxim Peterson, Alexey Potapov

Proceedings of the IAPR Conference on Machine Vision Applications (IAPR MVA 2011), 2011

2009

Investigation of OCT Images Descriptions on the Base of Representational MDL Principle.

Igor Gurov, Alexey Potapov

Proceedings of the IAPR Conference on Machine Vision Applications (IAPR MVA 2009), 2009