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ORCIDSergey Rodionov
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2020 – today
- 2023
[i11]Sergey Rodionov, Zarathustra Amadeus Goertzel, Ben Goertzel:
An Evaluation of GPT-4 on the ETHICS Dataset. CoRR abs/2309.10492 (2023)- 2020
- [c15]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: 279-289 - [c14]Aleksey Malov, Ivan Kholod, Sergey Rodionov, Evgenia Novikova:
Data Mining Algorithms Parallelization in the Framework of Agent-Oriented Programming. NEW2AN/ruSMART 2020: 135-147
2010 – 2019
- 2019
- [j2]Pavel Markov
, Sergey Rodionov:
Numerical Simulation Using Finite-Difference Schemes with Continuous Symmetries for Processes of Gas Flow in Porous Media. Comput. 7(3): 45 (2019) - [c13]Nail Musakaev, Stanislav Borodin, Sergey Rodionov, Evgeniy Schesnyak:
Mathematical Modeling of the Hot Steam-Water Mixture Flow in an Injection Well. DepCoS-RELCOMEX 2019: 341-348 - [c12]Aleksey Malov, Sergey Rodionov, Andrey Shorov:
Data Mining Algorithms Parallelization in Logic Programming Framework for Execution in Cluster. NEW2AN 2019: 91-103 - 2018
- [c11]Alexey Potapov, Sergey Rodionov, Maxim Peterson, Oleg Scherbakov, Innokentii Zhdanov, Nikolai Skorobogatko:
Vision System for AGI: Problems and Directions. AGI 2018: 185-195 - [c10]Alexey Potapov, Sergey Rodionov, Hugo Latapie, Enzo Fenoglio:
Metric Embedding Autoencoders for Unsupervised Cross-Dataset Transfer Learning. ICANN (3) 2018: 289-299 - [c9]Alexey Potapov, Oleg Shcherbakov, Innokentii Zhdanov, Sergey Rodionov, Nikolai Skorobogatko:
HyperNets and Their Application to Learning Spatial Transformations. ICANN (1) 2018: 476-486 - [c8]Sergey Rodionov, Alexey Potapov, Hugo Latapie, Enzo Fenoglio, Maxim Peterson:
Improving Deep Models of Person Re-identification for Cross-Dataset Usage. AIAI 2018: 75-84 - [i10]Alexey Potapov, Sergey Rodionov, Maxim Peterson, Oleg Shcherbakov, Innokentii Zhdanov, Nikolai Skorobogatko:
Vision System for AGI: Problems and Directions. CoRR abs/1807.03887 (2018) - [i9]Sergey Rodionov, Alexey Potapov, Hugo Latapie, Enzo Fenoglio, Maxim Peterson:
Improving Deep Models of Person Re-identification for Cross-Dataset Usage. CoRR abs/1807.08526 (2018) - [i8]Alexey Potapov, Oleg Shcherbakov, Innokentii Zhdanov, Sergey Rodionov, Nikolai Skorobogatko:
HyperNets and their application to learning spatial transformations. CoRR abs/1807.09226 (2018) - [i7]Alexey Potapov, Sergey Rodionov, Hugo Latapie, Enzo Fenoglio:
Metric Embedding Autoencoders for Unsupervised Cross-Dataset Transfer Learning. CoRR abs/1807.10591 (2018) - [i6]Alexey Potapov, Sergey Rodionov:
Genetic algorithms with DNN-based trainable crossover as an example of partial specialization of general search. CoRR abs/1809.04520 (2018) - 2017
- [c7]Alexey Potapov, Sergey Rodionov:
Genetic Algorithms with DNN-Based Trainable Crossover as an Example of Partial Specialization of General Search. AGI 2017: 101-111 - 2016
- [c6]Alexey Potapov, Sergey Rodionov, Vita Potapova:
Real-Time GA-Based Probabilistic Programming in Application to Robot Control. AGI 2016: 95-105 - 2015
- [c5]Alexey Potapov, Vita Batishcheva, Sergey Rodionov:
Optimization Framework with Minimum Description Length Principle for Probabilistic Programming. AGI 2015: 331-340 - [c4]Ivan Kholod, Aleksey Malov, Sergey Rodionov:
Data Mining Algorithms Parallelizing in Functional Programming Language for Execution in Cluster. NEW2AN 2015: 140-151 - 2014
- [j1]Alexey Potapov, Sergey Rodionov:
Universal empathy and ethical bias for artificial general intelligence. J. Exp. Theor. Artif. Intell. 26(3): 405-416 (2014) - [c3]Alexey Potapov, Sergey Rodionov:
Making Universal Induction Efficient by Specialization. AGI 2014: 133-142 - 2013
- [c2]Alexey Potapov, Sergey Rodionov:
Universal Induction with Varying Sets of Combinators. AGI 2013: 88-97 - [i5]Alexey Potapov, Sergey Rodionov:
Universal Induction with Varying Sets of Combinators. CoRR abs/1306.0095 (2013) - [i4]Sergey Rodionov, Alexey Potapov, Yurii Vinogradov:
Direct Uncertainty Estimation in Reinforcement Learning. CoRR abs/1306.1553 (2013) - [i3]Alexey Potapov, Sergey Rodionov:
Extending Universal Intelligence Models with Formal Notion of Representation. CoRR abs/1306.1557 (2013) - [i2]Alexey Potapov, Sergey Rodionov:
Universal Empathy and Ethical Bias for Artificial General Intelligence. CoRR abs/1308.0702 (2013) - 2012
- [c1]Alexey Potapov, Sergey Rodionov:
Extending Universal Intelligence Models with Formal Notion of Representation. AGI 2012: 242-251 - [i1]Alexey Potapov, Sergey Rodionov, Andrew Myasnikov, Galymzhan Begimov:
Cognitive Bias for Universal Algorithmic Intelligence. CoRR abs/1209.4290 (2012)
Coauthor Index
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