Alexey Potapov

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 27

Top Topics

General Intelligence

Unsupervised Learning

Cognitive Architecture

Semantic Image Retrieval

Top Venues

Publications

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
OpenCog Hyperon: A Framework for AGI at the Human Level and Beyond. CoRR (2023)
Alexey Potapov, Anatoly Belikov, Oleg Scherbakov, Vitaly Bogdanov
General-Purpose Minecraft Agents and Hybrid AGI. AGI (2022)
Jonathan Warrell, Alexey Potapov, Adam Vandervorst, Ben Goertzel
A meta-probabilistic-programming language for bisimulation of probabilistic and non-well-founded type systems. CoRR (2022)
Jonathan Warrell, Alexey Potapov, Adam Vandervorst, Ben Goertzel
A Meta-Probabilistic-Programming Language for Bisimulation of Probabilistic and Non-Well-Founded Type Systems. AGI (2022)
Alexey Potapov, Vitaly Bogdanov
Univalent Foundations of AGI are (not) All You Need. AGI (2021)
Alexey Potapov, Oleg Scherbakov, Vitaly Bogdanov, Vita Potapova, Anatoly Belikov, Sergey Rodionov, Artem Yashenko
Analyzing Elementary School Olympiad Math Tasks as a Benchmark for AGI. AGI (2020)
Anatoly Belikov, Alexey Potapov
GoodPoint: unsupervised learning of keypoint detection and description. CoRR (2020)
A. V. Yashchenko, Anatoly Belikov, M. V. Peterson, Alexey Potapov
Distillation of neural network models for detection and description of key points of images. CoRR (2020)
Alexey Potapov, Anatoly Belikov, Vitaly Bogdanov, Alexander Scherbatiy
Cognitive Module Networks for Grounded Reasoning. AGI (2019)
Alexey Potapov, Anatoly Belikov, Vitaly Bogdanov, Alexander Scherbatiy
Differentiable Probabilistic Logic Networks. CoRR (2019)
Alexey Potapov, Sergey Rodionov
Genetic algorithms with DNN-based trainable crossover as an example of partial specialization of general search. CoRR (2018)
Alexey Potapov, Innokentii Zhdanov, Oleg Scherbakov, Nikolai Skorobogatko, Hugo Latapie, Enzo Fenoglio
Semantic Image Retrieval by Uniting Deep Neural Networks and Cognitive Architectures. AGI (2018)
Alexey Potapov, Oleg Shcherbakov, Innokentii Zhdanov, Sergey Rodionov, Nikolai Skorobogatko
HyperNets and their application to learning spatial transformations. CoRR (2018)
Alexey Potapov, Sergey Rodionov, Hugo Latapie, Enzo Fenoglio
Metric Embedding Autoencoders for Unsupervised Cross-Dataset Transfer Learning. ICANN (3) (2018)
Alexey Potapov, Sergey Rodionov, Maxim Peterson, Oleg Shcherbakov, Innokentii Zhdanov, Nikolai Skorobogatko
Vision System for AGI: Problems and Directions. CoRR (2018)
Alexey Potapov, Oleg Shcherbakov, Innokentii Zhdanov, Sergey Rodionov, Nikolai Skorobogatko
HyperNets and Their Application to Learning Spatial Transformations. ICANN (1) (2018)
Alexey Potapov, Sergey Rodionov, Maxim Peterson, Oleg Scherbakov, Innokentii Zhdanov, Nikolai Skorobogatko
Vision System for AGI: Problems and Directions. AGI (2018)
Sergey Rodionov, Alexey Potapov, Hugo Latapie, Enzo Fenoglio, Maxim Peterson
Improving Deep Models of Person Re-identification for Cross-Dataset Usage. AIAI (2018)
Alexey Potapov, Sergey Rodionov, Hugo Latapie, Enzo Fenoglio
Metric Embedding Autoencoders for Unsupervised Cross-Dataset Transfer Learning. CoRR (2018)
Alexey Potapov
Technological Singularity: What Do We Really Know? Inf. 9 (4) (2018)
Sergey Rodionov, Alexey Potapov, Hugo Latapie, Enzo Fenoglio, Maxim Peterson
Improving Deep Models of Person Re-identification for Cross-Dataset Usage. CoRR (2018)
Alexey Potapov, Innokentii Zhdanov, Oleg Scherbakov, Nikolai Skorobogatko, Hugo Latapie, Enzo Fenoglio
Semantic Image Retrieval by Uniting Deep Neural Networks and Cognitive Architectures. CoRR (2018)
Alexey Potapov, Sergey Rodionov
Genetic Algorithms with DNN-Based Trainable Crossover as an Example of Partial Specialization of General Search. AGI (2017)
Alexey Potapov
A Step from Probabilistic Programming to Cognitive Architectures. CoRR (2016)
Alexey Potapov, Vita Batishcheva
A Generative Probabilistic Model for Leaning Complex Visual Stimuli. BICA (2016)
Alexey Potapov, Vita Potapova, Maxim Peterson
A feasibility study of an autoencoder meta-model for improving generalization capabilities on training sets of small sizes. Pattern Recognit. Lett. 80 (2016)
Alexey Potapov, Sergey Rodionov, Vita Potapova
Real-Time GA-Based Probabilistic Programming in Application to Robot Control. AGI (2016)
Alexey Potapov, Vita Batishcheva, Sergey Rodionov
Optimization Framework with Minimum Description Length Principle for Probabilistic Programming. AGI (2015)
Vita Batishcheva, Alexey Potapov
Genetic Programming on Program Traces as an Inference Engine for Probabilistic Languages. AGI (2015)
Alexey Potapov, Sergey Rodionov
Making Universal Induction Efficient by Specialization. AGI (2014)
Alexey Potapov, Vita Batishcheva, Shuchao Pang
Universalization of narrow methods: Case study on autoencoders. CCIS (2014)
Alexey Potapov, Sergey Rodionov
Universal empathy and ethical bias for artificial general intelligence. J. Exp. Theor. Artif. Intell. 26 (3) (2014)
Alexey Potapov, Vita Batishcheva, Maxim Peterson
Limited Generalization Capabilities of Autoencoders with Logistic Regression on Training Sets of Small Sizes. AIAI (2014)
Alexey Potapov, Sergey Rodionov
Universal Induction with Varying Sets of Combinators. AGI (2013)
Sergey Rodionov, Alexey Potapov, Yurii Vinogradov
Direct Uncertainty Estimation in Reinforcement Learning. CoRR (2013)
Alexey Potapov, Sergey Rodionov
Universal Induction with Varying Sets of Combinators. CoRR (2013)
Alexey Potapov, Sergey Rodionov
Universal Empathy and Ethical Bias for Artificial General Intelligence. CoRR (2013)
Alexey Potapov, Oleg Scherbakov, Innokentii Zhdanov
Practical algorithmic probability: an image inpainting example. ICMV (2013)
Alexey Potapov, Sergey Rodionov
Extending Universal Intelligence Models with Formal Notion of Representation. CoRR (2013)
Alexey Potapov, Sergey Rodionov, Andrew Myasnikov, Galymzhan Begimov
Cognitive Bias for Universal Algorithmic Intelligence CoRR (2012)
Alexey Potapov, Sergey Rodionov
Extending Universal Intelligence Models with Formal Notion of Representation. AGI (2012)
Alexey Potapov, Andrew Svitenkov, Yurii Vinogradov
Differences between Kolmogorov Complexity and Solomonoff Probability: Consequences for AGI. AGI (2012)
Alexey Potapov, Maxim Peterson
A Representational MDL Framework for Improving Learning Power of Neural Network Formalisms. AIAI (1) (2012)
Anton N. Averkin, Igor Gurov, Maxim Peterson, Alexey Potapov
Spectral-Differential Feature Matching and Clustering for Multi-body Motion Estimation. MVA (2011)
Igor Gurov, Alexey Potapov
Investigation of OCT Images Descriptions on the Base of Representational MDL Principle. MVA (2009)