Alexey Potapov

52 papers C 1Misc 4Journal 21Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Is the reconstruction loss culprit? An attempt to outperform JEPA. CoRR Alexey Potapov, Oleg Shcherbakov, Ivan I. Kravchenko
2025	—	`conf`	The Role of LLMs in AGI. AGI (2) Alexey Potapov, Vita Potapova
2023	—	`ed.`	Artificial General Intelligence - 15th International Conference, AGI 2022, Seattle, WA, USA, August 19-22, 2022, Proceedings AGI Ben Goertzel, Matt Iklé, Alexey Potapov, Denis K. Ponomaryov
2023	J	`jnl`	OpenCog Hyperon: A Framework for AGI at the Human Level and Beyond. CoRR 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
2022	—	`conf`	A Meta-Probabilistic-Programming Language for Bisimulation of Probabilistic and Non-Well-Founded Type Systems. AGI Jonathan Warrell, Alexey Potapov, Adam Vandervorst, Ben Goertzel
2022	J	`jnl`	A meta-probabilistic-programming language for bisimulation of probabilistic and non-well-founded type systems. CoRR Jonathan Warrell, Alexey Potapov, Adam Vandervorst, Ben Goertzel
2022	—	`ed.`	Artificial General Intelligence - 14th International Conference, AGI 2021, Palo Alto, CA, USA, October 15-18, 2021, Proceedings AGI Ben Goertzel, Matthew Iklé, Alexey Potapov
2022	—	`conf`	General-Purpose Minecraft Agents and Hybrid AGI. AGI Alexey Potapov, Anatoly Belikov, Oleg Scherbakov, Vitaly Bogdanov
2021	—	`conf`	Univalent Foundations of AGI are (not) All You Need. AGI Alexey Potapov, Vitaly Bogdanov
2020	—	`conf`	Analyzing Elementary School Olympiad Math Tasks as a Benchmark for AGI. AGI Alexey Potapov, Oleg Scherbakov, Vitaly Bogdanov, Vita Potapova, Anatoly Belikov, Sergey Rodionov, Artem Yashenko
2020	—	`ed.`	Artificial General Intelligence - 13th International Conference, AGI 2020, St. Petersburg, Russia, September 16-19, 2020, Proceedings AGI Ben Goertzel, Aleksandr I. Panov, Alexey Potapov, Roman Yampolskiy
2020	J	`jnl`	Distillation of neural network models for detection and description of key points of images. CoRR A. V. Yashchenko, Anatoly Belikov, M. V. Peterson, Alexey Potapov
2020	J	`jnl`	GoodPoint: unsupervised learning of keypoint detection and description. CoRR Anatoly Belikov, Alexey Potapov
2019	—	`conf`	Cognitive Module Networks for Grounded Reasoning. AGI Alexey Potapov, Anatoly Belikov, Vitaly Bogdanov, Alexander Scherbatiy
2019	J	`jnl`	Differentiable Probabilistic Logic Networks. CoRR Alexey Potapov, Anatoly Belikov, Vitaly Bogdanov, Alexander Scherbatiy
2018	J	`jnl`	Genetic algorithms with DNN-based trainable crossover as an example of partial specialization of general search. CoRR Alexey Potapov, Sergey Rodionov
2018	—	`conf`	HyperNets and Their Application to Learning Spatial Transformations. ICANN (1) Alexey Potapov, Oleg Shcherbakov, Innokentii Zhdanov, Sergey Rodionov, Nikolai Skorobogatko
2018	J	`jnl`	HyperNets and their application to learning spatial transformations. CoRR Alexey Potapov, Oleg Shcherbakov, Innokentii Zhdanov, Sergey Rodionov, Nikolai Skorobogatko
2018	Misc	`conf`	Improving Deep Models of Person Re-identification for Cross-Dataset Usage. AIAI Sergey Rodionov, Alexey Potapov, Hugo Latapie, Enzo Fenoglio, Maxim Peterson
2018	J	`jnl`	Improving Deep Models of Person Re-identification for Cross-Dataset Usage. CoRR Sergey Rodionov, Alexey Potapov, Hugo Latapie, Enzo Fenoglio, Maxim Peterson
2018	—	`conf`	Metric Embedding Autoencoders for Unsupervised Cross-Dataset Transfer Learning. ICANN (3) Alexey Potapov, Sergey Rodionov, Hugo Latapie, Enzo Fenoglio
2018	J	`jnl`	Metric Embedding Autoencoders for Unsupervised Cross-Dataset Transfer Learning. CoRR Alexey Potapov, Sergey Rodionov, Hugo Latapie, Enzo Fenoglio
2018	—	`conf`	Semantic Image Retrieval by Uniting Deep Neural Networks and Cognitive Architectures. AGI Alexey Potapov, Innokentii Zhdanov, Oleg Scherbakov, Nikolai Skorobogatko, Hugo Latapie, Enzo Fenoglio
2018	J	`jnl`	Semantic Image Retrieval by Uniting Deep Neural Networks and Cognitive Architectures. CoRR Alexey Potapov, Innokentii Zhdanov, Oleg Scherbakov, Nikolai Skorobogatko, Hugo Latapie, Enzo Fenoglio
2018	J	`jnl`	Technological Singularity: What Do We Really Know? Inf. Alexey Potapov
2018	—	`conf`	Vision System for AGI: Problems and Directions. AGI Alexey Potapov, Sergey Rodionov, Maxim Peterson, Oleg Scherbakov, Innokentii Zhdanov, Nikolai Skorobogatko
2018	J	`jnl`	Vision System for AGI: Problems and Directions. CoRR Alexey Potapov, Sergey Rodionov, Maxim Peterson, Oleg Shcherbakov, Innokentii Zhdanov, Nikolai Skorobogatko
2017	—	`ed.`	Artificial General Intelligence - 10th International Conference, AGI 2017, Melbourne, VIC, Australia, August 15-18, 2017, Proceedings AGI Tom Everitt, Ben Goertzel, Alexey Potapov
2017	—	`conf`	Genetic Algorithms with DNN-Based Trainable Crossover as an Example of Partial Specialization of General Search. AGI Alexey Potapov, Sergey Rodionov
2016	—	`conf`	A Generative Probabilistic Model for Leaning Complex Visual Stimuli. BICA Alexey Potapov, Vita Batishcheva
2016	J	`jnl`	A Step from Probabilistic Programming to Cognitive Architectures. CoRR Alexey Potapov
2016	J	`jnl`	A feasibility study of an autoencoder meta-model for improving generalization capabilities on training sets of small sizes. Pattern Recognit. Lett. Alexey Potapov, Vita Potapova, Maxim Peterson
2016	—	`conf`	Real-Time GA-Based Probabilistic Programming in Application to Robot Control. AGI Alexey Potapov, Sergey Rodionov, Vita Potapova
2015	—	`ed.`	Artificial General Intelligence - 8th International Conference, AGI 2015, AGI 2015, Berlin, Germany, July 22-25, 2015, Proceedings AGI Jordi Bieger, Ben Goertzel, Alexey Potapov
2015	—	`conf`	Genetic Programming on Program Traces as an Inference Engine for Probabilistic Languages. AGI Vita Batishcheva, Alexey Potapov
2015	—	`conf`	Optimization Framework with Minimum Description Length Principle for Probabilistic Programming. AGI Alexey Potapov, Vita Batishcheva, Sergey Rodionov
2014	Misc	`conf`	Limited Generalization Capabilities of Autoencoders with Logistic Regression on Training Sets of Small Sizes. AIAI Alexey Potapov, Vita Batishcheva, Maxim Peterson
2014	—	`conf`	Making Universal Induction Efficient by Specialization. AGI Alexey Potapov, Sergey Rodionov
2014	J	`jnl`	Universal empathy and ethical bias for artificial general intelligence. J. Exp. Theor. Artif. Intell. Alexey Potapov, Sergey Rodionov
2014	—	`conf`	Universalization of narrow methods: Case study on autoencoders. CCIS Alexey Potapov, Vita Batishcheva, Shuchao Pang
2013	J	`jnl`	Direct Uncertainty Estimation in Reinforcement Learning. CoRR Sergey Rodionov, Alexey Potapov, Yurii Vinogradov
2013	J	`jnl`	Extending Universal Intelligence Models with Formal Notion of Representation. CoRR Alexey Potapov, Sergey Rodionov
2013	C	`conf`	Practical algorithmic probability: an image inpainting example. ICMV Alexey Potapov, Oleg Scherbakov, Innokentii Zhdanov
2013	J	`jnl`	Universal Empathy and Ethical Bias for Artificial General Intelligence. CoRR Alexey Potapov, Sergey Rodionov
2013	—	`conf`	Universal Induction with Varying Sets of Combinators. AGI Alexey Potapov, Sergey Rodionov
2013	J	`jnl`	Universal Induction with Varying Sets of Combinators. CoRR Alexey Potapov, Sergey Rodionov
2012	—	`conf`	A Representational MDL Framework for Improving Learning Power of Neural Network Formalisms. AIAI (1) Alexey Potapov, Maxim Peterson
2012	J	`jnl`	Cognitive Bias for Universal Algorithmic Intelligence CoRR Alexey Potapov, Sergey Rodionov, Andrew Myasnikov, Galymzhan Begimov
2012	—	`conf`	Differences between Kolmogorov Complexity and Solomonoff Probability: Consequences for AGI. AGI Alexey Potapov, Andrew Svitenkov, Yurii Vinogradov
2012	—	`conf`	Extending Universal Intelligence Models with Formal Notion of Representation. AGI Alexey Potapov, Sergey Rodionov
2011	Misc	`conf`	Spectral-Differential Feature Matching and Clustering for Multi-body Motion Estimation. MVA Anton N. Averkin, Igor Gurov, Maxim Peterson, Alexey Potapov
2009	Misc	`conf`	Investigation of OCT Images Descriptions on the Base of Representational MDL Principle. MVA Igor Gurov, Alexey Potapov