Kirill Antonov

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 12

Top Topics

Kernel Principal Component Analysis

Dynamic Programming

Evolutionary Algorithm

Top Venues

Publications

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, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein, Anna V. Kononova
A Functional Analysis Approach to Symbolic Regression. GECCO (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)