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Publication search results
found 37 matches
- 2024
- Lenka Jungmannová, Petr Plechác:
Unsigned play by Milan Kundera? An authorship attribution study. Digit. Scholarsh. Humanit. 39(1): 191-197 (2024) - Ben Nagy, Artjoms Sela, Mirella De Sisto, Petr Plechác:
Metronome: tracing variation in poetic meters via local sequence alignment. CoRR abs/2404.17337 (2024) - Xin Huang, Petr Plechác, Mattias Sandberg, Anders Szepessy:
Convergence rates for random feature neural network approximation in molecular dynamics. CoRR abs/2406.14791 (2024) - 2023
- Ting Wang, Petr Plechác, Jaroslaw Knap:
Generative diffusion learning for parametric partial differential equations. CoRR abs/2305.14703 (2023) - Xin Huang, Petr Plechác, Mattias Sandberg, Anders Szepessy:
Path integral molecular dynamics approximations of quantum canonical observables. CoRR abs/2311.17333 (2023) - 2022
- Miao-Jung Yvonne Ou, Petr Plechác, Jiangming Xie:
On the time-domain full waveform inversion for time-dissipative and dispersive poroelastic media. CoRR abs/2201.08414 (2022) - Lenka Jungmannová, Petr Plechác:
Unsigned Play by Milan Kundera? An Authorship Attribution Study. CoRR abs/2212.09879 (2022) - 2021
- Petr Plechác:
Relative contributions of Shakespeare and Fletcher in Henry VIII: An analysis based on most frequent words and most frequent rhythmic patterns. Digit. Scholarsh. Humanit. 36(2): 430-438 (2021) - Artjoms Sela, Petr Plechác, Alie Lassche:
Semantics of European poetry is shaped by conservative forces: The relationship between poetic meter and meaning in accentual-syllabic verse. CoRR abs/2109.07148 (2021) - Xin Huang, Petr Plechác, Mattias Sandberg, Anders Szepessy:
Canonical mean-field molecular dynamics derived from quantum mechanics. CoRR abs/2111.11478 (2021) - Petr Plechác, Gabriel Stoltz, Ting Wang:
Martingale product estimators for sensitivity analysis in computational statistical physics. CoRR abs/2112.00126 (2021) - 2020
- Ting Wang, Kenneth W. Leiter, Petr Plechác, Jaroslaw Knap:
Accelerated scale bridging with sparsely approximated Gaussian learning. J. Comput. Phys. 403 (2020) - Natalie M. Houston, Petr Plechác, Pablo Ruiz Fabo, Helena Bermúdez-Sabel, David Birnbaum, Elise Thorsen:
Understanding Rhyme Through Network Analysis. DH 2020 - Petr Plechác, Thomas Nikolaus Haider:
Mapping Topic Evolution Across Poetic Traditions. DH 2020 - Petr Plechác, Thomas N. Haider:
Mapping Topic Evolution Across Poetic Traditions. CoRR abs/2006.15732 (2020) - Aku Kammonen, Jonas Kiessling, Petr Plechác, Mattias Sandberg, Anders Szepessy:
Adaptive random Fourier features with Metropolis sampling. CoRR abs/2007.10683 (2020) - Aku Kammonen, Jonas Kiessling, Petr Plechác, Mattias Sandberg, Anders Szepessy, Raúl Tempone:
Smaller generalization error derived for deep compared to shallow residual neural networks. CoRR abs/2010.01887 (2020) - Petr Plechác:
On an Unknown Ancestor of Burrows' Delta Measure. CoRR abs/2012.04796 (2020) - 2019
- Ting Wang, Petr Plechác:
Steady-State Sensitivity Analysis of Continuous Time Markov Chains. SIAM J. Numer. Anal. 57(1): 192-217 (2019) - Ting Wang, Gabriel Stoltz, Petr Plechác:
Convergence of the likelihood ratio method for linear response of non-equilibrium stationary states. CoRR abs/1910.02479 (2019) - Petr Plechác:
Relative contributions of Shakespeare and Fletcher in Henry VIII: An Analysis Based on Most Frequent Words and Most Frequent Rhythmic Patterns. CoRR abs/1911.05652 (2019) - 2018
- Ting Wang, Petr Plechác, David Aristoff:
Stationary Averaging for Multiscale Continuous Time Markov Chains Using Parallel Replica Dynamics. Multiscale Model. Simul. 16(1): 1-27 (2018) - 2016
- Vagelis Harmandaris, Evangelia Kalligiannaki, Markos A. Katsoulakis, Petr Plechác:
Path-space variational inference for non-equilibrium coarse-grained systems. J. Comput. Phys. 314: 355-383 (2016) - Paul Dupuis, Markos A. Katsoulakis, Yannis Pantazis, Petr Plechác:
Path-Space Information Bounds for Uncertainty Quantification and Sensitivity Analysis of Stochastic Dynamics. SIAM/ASA J. Uncertain. Quantification 4(1): 80-111 (2016) - 2014
- Markos A. Katsoulakis, Petr Plechác, Luc Rey-Bellet, Dimitrios K. Tsagkarogiannis:
Coarse-graining schemes for stochastic lattice systems with short and long-range interactions. Math. Comput. 83(288): 1757-1793 (2014) - Giorgos Arampatzis, Markos A. Katsoulakis, Petr Plechác:
Parallelization, Processor Communication and Error Analysis in Lattice Kinetic Monte Carlo. SIAM J. Numer. Anal. 52(3): 1156-1182 (2014) - Evangelia Kalligiannaki, Markos A. Katsoulakis, Petr Plechác:
Spatial Two-Level Interacting Particle Simulations and Information Theory-Based Error Quantification. SIAM J. Sci. Comput. 36(2) (2014) - 2013
- Markos A. Katsoulakis, Petr Plechác:
Information-theoretic tools for parametrized coarse-graining of non-equilibrium extended systems. CoRR abs/1304.7700 (2013) - 2012
- Giorgos Arampatzis, Markos A. Katsoulakis, Petr Plechác, Michela Taufer, Lifan Xu:
Hierarchical fractional-step approximations and parallel kinetic Monte Carlo algorithms. J. Comput. Phys. 231(23): 7795-7814 (2012) - Evangelia Kalligiannaki, Markos A. Katsoulakis, Petr Plechác, Dionisios G. Vlachos:
Multilevel coarse graining and nano-pattern discovery in many particle stochastic systems. J. Comput. Phys. 231(6): 2599-2620 (2012)
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