Petr Plechác

According to our database, Petr Plechác authored at least 32 papers between 1997 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Path integral molecular dynamics approximations of quantum canonical observables.

Xin Huang, Petr Plechác, Mattias Sandberg, Anders Szepessy

CoRR, 2023

Generative diffusion learning for parametric partial differential equations.

Ting Wang, Petr Plechác, Jaroslaw Knap

CoRR, 2023

2022

Unsigned Play by Milan Kundera? An Authorship Attribution Study.

Lenka Jungmannová, Petr Plechác

CoRR, 2022

On the time-domain full waveform inversion for time-dissipative and dispersive poroelastic media.

Miao-Jung Yvonne Ou, Petr Plechác, Jiangming Xie

CoRR, 2022

2021

Relative contributions of Shakespeare and Fletcher in Henry VIII: An analysis based on most frequent words and most frequent rhythmic patterns.

Petr Plechác

Digit. Scholarsh. Humanit., 2021

Martingale product estimators for sensitivity analysis in computational statistical physics.

Petr Plechác, Gabriel Stoltz, Ting Wang

CoRR, 2021

Canonical mean-field molecular dynamics derived from quantum mechanics.

Xin Huang, Petr Plechác, Mattias Sandberg, Anders Szepessy

CoRR, 2021

Semantics of European poetry is shaped by conservative forces: The relationship between poetic meter and meaning in accentual-syllabic verse.

Artjoms Sela, Petr Plechác, Alie Lassche

CoRR, 2021

2020

Accelerated scale bridging with sparsely approximated Gaussian learning.

Ting Wang, Kenneth W. Leiter, Petr Plechác, Jaroslaw Knap

J. Comput. Phys., 2020

On an Unknown Ancestor of Burrows' Delta Measure.

Petr Plechác

CoRR, 2020

Smaller generalization error derived for deep compared to shallow residual neural networks.

Aku Kammonen, Jonas Kiessling, Petr Plechác, Mattias Sandberg, Anders Szepessy, Raúl Tempone

CoRR, 2020

Adaptive random Fourier features with Metropolis sampling.

Aku Kammonen, Jonas Kiessling, Petr Plechác, Mattias Sandberg, Anders Szepessy

CoRR, 2020

Mapping Topic Evolution Across Poetic Traditions.

Petr Plechác, Thomas Nikolaus Haider

Proceedings of the 15th Annual International Conference of the Alliance of Digital Humanities Organizations, 2020

Understanding Rhyme Through Network Analysis.

Natalie M. Houston, Petr Plechác, Pablo Ruiz Fabo, Helena Bermúdez-Sabel, David Birnbaum, Elise Thorsen

Proceedings of the 15th Annual International Conference of the Alliance of Digital Humanities Organizations, 2020

2019

Steady-State Sensitivity Analysis of Continuous Time Markov Chains.

Ting Wang, Petr Plechác

SIAM J. Numer. Anal., 2019

Convergence of the likelihood ratio method for linear response of non-equilibrium stationary states.

Ting Wang, Gabriel Stoltz, Petr Plechác

CoRR, 2019

2018

Stationary Averaging for Multiscale Continuous Time Markov Chains Using Parallel Replica Dynamics.

Ting Wang, Petr Plechác, David Aristoff

Multiscale Model. Simul., 2018

2016

Path-Space Information Bounds for Uncertainty Quantification and Sensitivity Analysis of Stochastic Dynamics.

Paul Dupuis, Markos A. Katsoulakis, Yannis Pantazis, Petr Plechác

SIAM/ASA J. Uncertain. Quantification, 2016

Path-space variational inference for non-equilibrium coarse-grained systems.

Vagelis Harmandaris, Evangelia Kalligiannaki, Markos A. Katsoulakis, Petr Plechác

J. Comput. Phys., 2016

2014

Spatial Two-Level Interacting Particle Simulations and Information Theory-Based Error Quantification.

Evangelia Kalligiannaki, Markos A. Katsoulakis, Petr Plechác

SIAM J. Sci. Comput., 2014

Parallelization, Processor Communication and Error Analysis in Lattice Kinetic Monte Carlo.

Giorgos Arampatzis, Markos A. Katsoulakis, Petr Plechác

SIAM J. Numer. Anal., 2014

Coarse-graining schemes for stochastic lattice systems with short and long-range interactions.

Markos A. Katsoulakis, Petr Plechác, Luc Rey-Bellet, Dimitrios K. Tsagkarogiannis

Math. Comput., 2014

2013

Information-theoretic tools for parametrized coarse-graining of non-equilibrium extended systems

Markos A. Katsoulakis, Petr Plechác

CoRR, 2013

2012

Multilevel coarse graining and nano-pattern discovery in many particle stochastic systems.

Evangelia Kalligiannaki, Markos A. Katsoulakis, Petr Plechác, Dionisios G. Vlachos

J. Comput. Phys., 2012

Hierarchical fractional-step approximations and parallel kinetic Monte Carlo algorithms.

Giorgos Arampatzis, Markos A. Katsoulakis, Petr Plechác, Michela Taufer, Lifan Xu

J. Comput. Phys., 2012

2009

Implicit Mass-matrix Penalization of Hamiltonian Dynamics with Application to Exact Sampling of Stiff Systems.

Petr Plechác, Mathias Rousset

Multiscale Model. Simul., 2009

2008

Multibody Interactions in Coarse-Graining Schemes for Extended Systems.

Sasanka Are, Markos A. Katsoulakis, Petr Plechác, Luc Rey-Bellet

SIAM J. Sci. Comput., 2008

Numerical and Statistical Methods for the Coarse-Graining of Many-Particle Stochastic Systems.

Markos A. Katsoulakis, Petr Plechác, Luc Rey-Bellet

J. Sci. Comput., 2008

2006

Error Analysis of Coarse-Graining for Stochastic Lattice Dynamics.

Markos A. Katsoulakis, Petr Plechác, Alexandros Sopasakis

SIAM J. Numer. Anal., 2006

2000

Numerical Analysis of Compatible Phase Transitions in Elastic Solids.

Carsten Carstensen, Petr Plechác

SIAM J. Numer. Anal., 2000

1998

On Functional Separately Convex Hulls.

Jirí Matousek, Petr Plechác

Discret. Comput. Geom., 1998

1997

Numerical solution of the scalar double-well problem allowing microstructure.

Carsten Carstensen, Petr Plechác

Math. Comput., 1997