Timothy J. Rogers

28 papers Journal 27Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Adaptive Sensor Steering Strategy Using Deep Reinforcement Learning for Dynamic Data Acquisition in Digital Twins. CoRR Collins O. Ogbodo, Timothy J. Rogers, Mattia Dal Borgo, David James Wagg
2025	J	`jnl`	Neutron Reflectometry by Gradient Descent. CoRR Max D. Champneys, Andrew J. Parnell, Philipp Gutfreund, Maximilian W. A. Skoda, J. Patrick A. Fairclough, Timothy J. Rogers, Stephanie L. Burg
2025	J	`jnl`	Towards Agent-based Test Support Systems: An Unsupervised Environment Design Approach. CoRR Collins O. Ogbodo, Timothy J. Rogers, Mattia Dal Borgo, David James Wagg
2024	J	`jnl`	A new perspective on Bayesian Operational Modal Analysis. CoRR Brandon J. O'Connell, Max D. Champneys, Timothy J. Rogers
2024	J	`jnl`	Active learning for regression in engineering populations: A risk-informed approach. CoRR Daniel R. Clarkson, Lawrence A. Bull, Chandula T. Wickramarachchi, Elizabeth J. Cross, Timothy J. Rogers, Keith Worden, Nikolaos Dervilis, Aidan J. Hughes
2024	J	`jnl`	BINDy - Bayesian identification of nonlinear dynamics with reversible-jump Markov-chain Monte-Carlo. CoRR Max D. Champneys, Timothy J. Rogers
2024	J	`jnl`	Baseline Results for Selected Nonlinear System Identification Benchmarks. CoRR Max D. Champneys, Gerben Izaak Beintema, Roland Tóth, Maarten Schoukens, Timothy J. Rogers
2024	—	`conf`	Bayesian grey-box identification of nonlinear convection effects in heat transfer dynamics. CCTA Wouter M. Kouw, Caspar Gruijthuijsen, Lennart Blanken, Enzo Evers, Timothy J. Rogers
2024	J	`jnl`	Bayesian grey-box identification of nonlinear convection effects in heat transfer dynamics. CoRR Wouter M. Kouw, Caspar Gruijthuijsen, Lennart Blanken, Enzo Evers, Timothy J. Rogers
2024	J	`jnl`	Calibrating the Discrete Boundary Conditions of a Dynamic Simulation: A Combinatorial Approximate Bayesian Computation Sequential Monte Carlo (ABC-SMC) Approach. Sensors Jah Shamas, Timothy J. Rogers, Anton Krynkin, Jevgenija Prisutova, Paul Gardner, Kirill V. Horoshenkov, Samuel R. Shelley, Paul Dickenson
2024	J	`jnl`	Cost-informed dimensionality reduction for structural digital twin technologies. CoRR Aidan J. Hughes, Keith Worden, Nikolaos Dervilis, Timothy J. Rogers
2024	J	`jnl`	Multiple-input, multiple-output modal testing of a Hawk T1A aircraft: A new full-scale dataset for structural health monitoring. CoRR James Wilson, Max D. Champneys, Matt Tipuric, Robin S. Mills, David James Wagg, Timothy J. Rogers
2024	J	`jnl`	On Gait Consistency Quantification Through ARX Residual Modeling and Kernel Two-Sample Testing. IEEE Trans. Biomed. Eng. Alexandru Stihi, Timothy J. Rogers, Claudia Mazzà, Elizabeth J. Cross
2024	J	`jnl`	Probabilistic Numeric SMC Sampling for Bayesian Nonlinear System Identification in Continuous Time. CoRR Joe D. Longbottom, Max D. Champneys, Timothy J. Rogers
2023	J	`jnl`	A Bayesian Method for Material Identification of Composite Plates via Dispersion Curves. Sensors Marcus Haywood-Alexander, Nikolaos Dervilis, Keith Worden, Robin S. Mills, Purim Ladpli, Timothy J. Rogers
2023	J	`jnl`	A Robust Probabilistic Approach to Stochastic Subspace Identification. CoRR Brandon J. O'Connell, Timothy J. Rogers
2023	J	`jnl`	A spectrum of physics-informed Gaussian processes for regression in engineering. CoRR Elizabeth J. Cross, Timothy J. Rogers, Daniel J. Pitchforth, Samuel J. Gibson, Matthew R. Jones
2023	J	`jnl`	Full-scale modal testing of a Hawk T1A aircraft for benchmarking vibration-based methods. CoRR Marcus Haywood-Alexander, Robin S. Mills, Max D. Champneys, Matthew R. Jones, Matthew S. Bonney, David James Wagg, Timothy J. Rogers
2023	J	`jnl`	PAO: A general particle swarm algorithm with exact dynamics and closed-form transition densities. CoRR Max D. Champneys, Timothy J. Rogers
2023	J	`jnl`	Sharing Information Between Machine Tools to Improve Surface Finish Forecasting. CoRR Daniel R. Clarkson, Lawrence A. Bull, Tina A. Dardeno, Chandula T. Wickramarachchi, Elizabeth J. Cross, Timothy J. Rogers, Keith Worden, Nikolaos Dervilis, Aidan J. Hughes
2022	J	`jnl`	Constraining Gaussian processes for physics-informed acoustic emission mapping. CoRR Matthew R. Jones, Timothy J. Rogers, Elizabeth J. Cross
2022	J	`jnl`	Physically Meaningful Uncertainty Quantification in Probabilistic Wind Turbine Power Curve Models as a Damage Sensitive Feature. CoRR J. H. McLean, Matthew R. Jones, Brandon J. O'Connell, Andrew Eoghan Maguire, Timothy J. Rogers
2022	J	`jnl`	Physics-informed machine learning for Structural Health Monitoring. CoRR Elizabeth J. Cross, Samuel J. Gibson, Matthew R. Jones, Daniel J. Pitchforth, Sikai Zhang, Timothy J. Rogers
2021	J	`jnl`	Bayesian Modelling of Multivalued Power Curves from an Operational Wind Farm. CoRR Lawrence A. Bull, P. A. Gardner, Timothy J. Rogers, Nikolaos Dervilis, Elizabeth J. Cross, Evangelos Papatheou, Andrew Eoghan Maguire, C. Campos, Keith Worden
2021	J	`jnl`	Grey-box models for wave loading prediction. CoRR Daniel J. Pitchforth, Timothy J. Rogers, Ulf T. Tygesen, Elizabeth J. Cross
2021	J	`jnl`	Probabilistic Inference for Structural Health Monitoring: New Modes of Learning from Data. CoRR Lawrence A. Bull, Paul Gardner, Timothy J. Rogers, Elizabeth J. Cross, Nikolaos Dervilis, Keith Worden
2021	J	`jnl`	Structured Machine Learning Tools for Modelling Characteristics of Guided Waves. CoRR Marcus Haywood-Alexander, Nikolaos Dervilis, Keith Worden, Elizabeth J. Cross, Robin S. Mills, Timothy J. Rogers
2020	J	`jnl`	A Bayesian methodology for localising acoustic emission sources in complex structures. CoRR Matthew R. Jones, Timothy J. Rogers, Keith Worden, Elizabeth J. Cross