Lukás Novák

15 papers Journal 11Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
On fractional moment estimation from polynomial chaos expansion.
Reliab. Eng. Syst. Saf.
Lukás Novák, Marcos A. Valdebenito, Matthias G. R. Faes
2025 J jnl
Physics-informed Polynomial Chaos Expansion with Enhanced Constrained Optimization Solver and D-optimal Sampling.
CoRR
Qitian Lu, Himanshu Sharma, Michael D. Shields, Lukás Novák
2025 J jnl
Polynomial Chaos Expansion for Operator Learning.
CoRR
Himanshu Sharma, Lukás Novák, Michael D. Shields
2024 J jnl
On Fractional Moment Estimation from Polynomial Chaos Expansion.
CoRR
Lukás Novák, Marcos A. Valdebenito, Matthias G. R. Faes
2024 J jnl
Physics-constrained polynomial chaos expansion for scientific machine learning and uncertainty quantification.
CoRR
Himanshu Sharma, Lukás Novák, Michael D. Shields
2024 J jnl
Physics-informed polynomial chaos expansions.
J. Comput. Phys.
Lukás Novák, Himanshu Sharma, Michael D. Shields
2023 J jnl
Active Learning-based Domain Adaptive Localized Polynomial Chaos Expansion.
CoRR
Lukás Novák, Michael D. Shields, Václav Sadílek, Miroslav Vorechovský
2023 — conf
Coping with Depression.
INTERACT Workshops (1)
Lukás Novák, Miroslav Macík, Bozena Mannová
2023 J jnl
Physics-Informed Polynomial Chaos Expansions.
CoRR
Lukás Novák, Himanshu Sharma, Michael D. Shields
2023 J jnl
UQpy v4.1: Uncertainty Quantification with Python.
CoRR
Dimitrios Tsapetis, Michael D. Shields, Dimitris G. Giovanis, Audrey Olivier, Lukás Novák, Promit Chakroborty, Himanshu Sharma, Mohit Singh Chauhan, Katiana Kontolati, Lohit Vandanapu, Dimitrios Loukrezis, Michael Gardner
2023 J jnl
UQpy v4.1: Uncertainty quantification with Python.
SoftwareX
Dimitrios Tsapetis, Michael D. Shields, Dimitris G. Giovanis, Audrey Olivier, Lukás Novák, Promit Chakroborty, Himanshu Sharma, Mohit Singh Chauhan, Katiana Kontolati, Lohit Vandanapu, Dimitrios Loukrezis, Michael Gardner
2022 — conf
Sensitivity Analysis of Engineering Structures Utilizing Artificial Neural Networks and Polynomial Chaos Expansion.
LOD (1)
Lukás Novák, David Lehký, Drahomír Novák
2022 — conf
Surrogate Modeling for Stochastic Assessment of Engineering Structures.
LOD (2)
David Lehký, Lukás Novák, Drahomír Novák
2021 — conf
Optimizing the Switching Speed of the Current Probe Utilizing the FPGA for Input Signal Processing.
ICUMT
Michal Mikulasek, Pavel Masek, Martin Stusek, Lukás Novák, Radek Mozny, Jiri Hosek
2020 J jnl
On Taylor Series Expansion for Statistical Moments of Functions of Correlated Random Variables.
Symmetry
Lukás Novák, Drahomír Novák