Tim J. Dodwell

20 papers Journal 20

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Democratizing uncertainty quantification. J. Comput. Phys. Linus Seelinger, Anne Reinarz, Mikkel Bue Lykkegaard, Robert Akers, Amal Mohammed A. Alghamdi, David Aristoff, Wolfgang Bangerth, Jean Bénézech, Matteo Diez, Kurt Frey, John D. Jakeman, Jakob Sauer Jørgensen, Ki-Tae Kim, Benjamin M. Kent, Massimiliano Martinelli, Matthew D. Parno, Riccardo Pellegrini, Noemi Petra, Nicolai André Brogaard Riis, Katherine Rosenfeld, Andrea Serani, Lorenzo Tamellini, Umberto Villa, Tim J. Dodwell, Robert Scheichl
2024	J	`jnl`	Democratizing Uncertainty Quantification. CoRR Linus Seelinger, Anne Reinarz, Mikkel Bue Lykkegaard, Amal Mohammed A. Alghamdi, David Aristoff, Wolfgang Bangerth, Jean Bénézech, Matteo Diez, Kurt Frey, John D. Jakeman, Jakob Sauer Jørgensen, Ki-Tae Kim, Massimiliano Martinelli, Matthew D. Parno, Riccardo Pellegrini, Noemi Petra, Nicolai André Brogaard Riis, Katherine Rosenfeld, Andrea Serani, Lorenzo Tamellini, Umberto Villa, Tim J. Dodwell, Robert Scheichl
2024	J	`jnl`	Generative broad Bayesian (GBB) imputer for missing data imputation with uncertainty quantification. Knowl. Based Syst. Sin-Chi Kuok, Ka-Veng Yuen, Tim J. Dodwell, Mark Girolami
2023	J	`jnl`	Context-Aware Generative Models for Prediction of Aircraft Ground Tracks. CoRR Nick Pepper, George De Ath, Marc Thomas, Richard M. Everson, Tim J. Dodwell
2023	J	`jnl`	Multilevel Delayed Acceptance MCMC. SIAM/ASA J. Uncertain. Quantification Mikkel Bue Lykkegaard, Tim J. Dodwell, Colin Fox, G. Mingas, Robert Scheichl
2023	J	`jnl`	Probabilistic Machine Learning to Improve Generalisation of Data-Driven Turbulence Modelling. CoRR Joel Ho, Nick Pepper, Tim J. Dodwell
2022	J	`jnl`	A Probabilistic Model for Aircraft in Climb using Monotonic Functional Gaussian Process Emulators. CoRR Nick Pepper, Marc Thomas, George De Ath, Enrico Oliver, Richard Cannon, Richard M. Everson, Tim J. Dodwell
2022	J	`jnl`	A probabilistic peridynamic framework with an application to the study of the statistical size effect. CoRR Mark Hobbs, Hussein Rappel, Tim J. Dodwell
2022	J	`jnl`	Novel Design and Analysis of Generalized Finite Element Methods Based on Locally Optimal Spectral Approximations. SIAM J. Numer. Anal. Chupeng Ma, Robert Scheichl, Tim J. Dodwell
2021	J	`jnl`	Novel design and analysis of generalized FE methods based on locally optimal spectral approximations. CoRR Chupeng Ma, Robert Scheichl, Tim J. Dodwell
2021	J	`jnl`	Operational Variables for Improving Industrial Wind Turbine Yaw Misalignment Early Fault Detection Capabilities Using Data-Driven Techniques. IEEE Trans. Instrum. Meas. Ravi Pandit, David Infield, Tim J. Dodwell
2021	J	`jnl`	PeriPy - A High Performance OpenCL Peridynamics Package. CoRR Benjamin Boys, Tim J. Dodwell, Mark Hobbs, Mark Girolami
2020	J	`jnl`	High-performance dune modules for solving large-scale, strongly anisotropic elliptic problems with applications to aerospace composites. Comput. Phys. Commun. Richard Butler, Tim J. Dodwell, Anne Reinarz, A. Sandhu, Robert Scheichl, Linus Seelinger
2019	J	`jnl`	Continuous Level Monte Carlo and Sample-Adaptive Model Hierarchies. SIAM/ASA J. Uncertain. Quantification Gianluca Detommaso, Tim J. Dodwell, Robert Scheichl
2019	J	`jnl`	ERRATUM: A Hierarchical Multilevel Markov Chain Monte Carlo Algorithm with Applications to Uncertainty Quantification in Subsurface Flow. SIAM/ASA J. Uncertain. Quantification Tim J. Dodwell, Christian Ketelsen, Robert Scheichl, Aretha L. Teckentrup
2019	J	`jnl`	Happy Catastrophe: Recent Progress in Analysis and Exploitation of Elastic Instability. Frontiers Appl. Math. Stat. Alan R. Champneys, Tim J. Dodwell, Rainer M. J. Groh, Giles W. Hunt, Robin M. Neville, Alberto Pirrera, Amir Hosein Sakhaei, Mark Schenk, M. Ahmer Wadee
2019	J	`jnl`	Multilevel Markov Chain Monte Carlo. SIAM Rev. Tim J. Dodwell, Christian Ketelsen, Robert Scheichl, Aretha L. Teckentrup
2019	J	`jnl`	Multilevel Monte Carlo Simulations of Composite Structures with Uncertain Manufacturing Defects. CoRR Tim J. Dodwell, S. Kinston, Richard Butler, Raphael T. Haftka, Nam H. Kim, Robert Scheichl
2015	J	`jnl`	A Hierarchical Multilevel Markov Chain Monte Carlo Algorithm with Applications to Uncertainty Quantification in Subsurface Flow. SIAM/ASA J. Uncertain. Quantification Tim J. Dodwell, Christian Ketelsen, Robert Scheichl, Aretha L. Teckentrup
2012	J	`jnl`	Self-Similar Voiding Solutions of a Single Layered Model of Folding Rocks. SIAM J. Appl. Math. Tim J. Dodwell, Mark A. Peletier, C. J. Budd, Giles W. Hunt