Lukás Novák

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 12

Top Topics

Inherent Uncertainty

Statistically Independent

Machine Learning

Statistical Moments

Top Venues

Publications

Himanshu Sharma, Lukás Novák, Michael D. Shields
Physics-constrained polynomial chaos expansion for scientific machine learning and uncertainty quantification. CoRR (2024)
Lukás Novák, Marcos A. Valdebenito, Matthias G. R. Faes
On Fractional Moment Estimation from Polynomial Chaos Expansion. CoRR (2024)
Lukás Novák, Himanshu Sharma, Michael D. Shields
Physics-informed polynomial chaos expansions. J. Comput. Phys. 506 (2024)
Dimitrios Tsapetis, Michael D. Shields, Dimitris G. Giovanis, Audrey Olivier, Lukás Novák, Promit Chakroborty, Himanshu Sharma, Mohit Chauhan, Katiana Kontolati, Lohit Vandanapu, Dimitrios Loukrezis, Michael Gardner
UQpy v4.1: Uncertainty Quantification with Python. CoRR (2023)
Lukás Novák, Miroslav Macík, Bozena Mannová
Coping with Depression. INTERACT Workshops (1) (2023)
Dimitrios Tsapetis, Michael D. Shields, Dimitris G. Giovanis, Audrey Olivier, Lukás Novák, Promit Chakroborty, Himanshu Sharma, Mohit Chauhan, Katiana Kontolati, Lohit Vandanapu, Dimitrios Loukrezis, Michael Gardner
UQpy v4.1: Uncertainty quantification with Python. SoftwareX 24 (2023)
Lukás Novák, Himanshu Sharma, Michael D. Shields
Physics-Informed Polynomial Chaos Expansions. CoRR (2023)
Lukás Novák, Michael D. Shields, Václav Sadílek, Miroslav Vorechovský
Active Learning-based Domain Adaptive Localized Polynomial Chaos Expansion. CoRR (2023)
David Lehký, Lukás Novák, Drahomír Novák
Surrogate Modeling for Stochastic Assessment of Engineering Structures. LOD (2) (2022)
Lukás Novák, David Lehký, Drahomír Novák
Sensitivity Analysis of Engineering Structures Utilizing Artificial Neural Networks and Polynomial Chaos Expansion. LOD (1) (2022)
Michal Mikulasek, Pavel Masek, Martin Stusek, Lukás Novák, Radek Mozny, Jiri Hosek
Optimizing the Switching Speed of the Current Probe Utilizing the FPGA for Input Signal Processing. ICUMT (2021)
Lukás Novák, Drahomír Novák
On Taylor Series Expansion for Statistical Moments of Functions of Correlated Random Variables. Symmetry 12 (8) (2020)