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Kirill Antonov
ORCID
Publication Activity (10 Years)
Years Active: 2019-2024
Publications (10 Years): 11
Top Topics
High Dimensional Feature Space
Kernel Principal Component Analysis
Mutation Rate
Evolutionary Algorithm
Top Venues
CoRR
PPSN (1)
MOTOR
FOGA
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Publications
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Kirill Antonov
,
Roman Kalkreuth
,
Kaifeng Yang
,
Thomas Bäck
,
Niki van Stein
,
Anna V. Kononova
A Functional Analysis Approach to Symbolic Regression.
CoRR
(2024)
Kirill Antonov
,
Anna V. Kononova
,
Thomas Bäck
,
Niki van Stein
Representation-agnostic distance-driven perturbation for optimizing ill-conditioned problems.
CoRR
(2023)
Alexander A. Semenov
,
Kirill Antonov
,
Stepan Kochemazov
,
Artem Pavlenko
Using Linearizing Sets to Solve Multivariate Quadratic Equations in Algebraic Cryptanalysis.
IEEE Access
11 (2023)
Kirill Antonov
,
Anna V. Kononova
,
Thomas Bäck
,
Niki van Stein
Curing ill-Conditionality via Representation-Agnostic Distance-Driven Perturbations.
FOGA
(2023)
Kirill Antonov
,
Elena Raponi
,
Hao Wang
,
Carola Doerr
High Dimensional Bayesian Optimization with Kernel Principal Component Analysis.
PPSN (1)
(2022)
Kirill Antonov
,
Elena Raponi
,
Hao Wang
,
Carola Doerr
High Dimensional Bayesian Optimization with Kernel Principal Component Analysis.
CoRR
(2022)
Kirill Antonov
,
Maxim Buzdalov
,
Arina Buzdalova
,
Carola Doerr
Blending Dynamic Programming with Monte Carlo Simulation for Bounding the Running Time of Evolutionary Algorithms.
CEC
(2021)
Alexander A. Semenov
,
Ilya V. Otpuschennikov
,
Kirill Antonov
On Some Variants of the Merging Variables Based (1+1)-Evolutionary Algorithm with Application to MaxSAT Problem.
MOTOR
(2021)
Kirill Antonov
,
Maxim Buzdalov
,
Arina Buzdalova
,
Carola Doerr
Blending Dynamic Programming with Monte Carlo Simulation for Bounding the Running Time of Evolutionary Algorithms.
CoRR
(2021)
Anna Rodionova
,
Kirill Antonov
,
Arina Buzdalova
,
Carola Doerr
Offspring Population Size Matters when Comparing Evolutionary Algorithms with Self-Adjusting Mutation Rates.
CoRR
(2019)
Anna Rodionova
,
Kirill Antonov
,
Arina Buzdalova
,
Carola Doerr
Offspring population size matters when comparing evolutionary algorithms with self-adjusting mutation rates.
GECCO
(2019)