Benjamin M. Kent

Talks

  • Prob_AI Hub Workshop, September 2026. Learning well-calibrated probabilistic forecasts via Koopman-mode approximation and CRPS.
  • WCCM-ECCOMAS, June 2026. Noise-Robust Multi-Fidelity Surrogate Modelling for Parametric Partial Differential Equations.
  • Prob_AI Hub research retreat, May 2026. Learning linear structure in non-linear dynamics.
  • Research seminar, Computational and Biological Learning Group, University of Cambridge, Feb 2026. Learning linear structure in non-linear dynamics.
  • 30th Biennial Numerical Analysis Conference, June 2025. Noise Robust Multi-Index Stochastic Collocation for Parametric PDEs.
  • XII International Conference on Adaptive Modeling and Simulation (ADMOS), June 2025. Noise Robust Multi-Index Stochastic Collocation for Parametric PDEs.
  • Sandia National Laboratories, March 2025. Multi-Index Stochastic Collocation for PDEs with Imperfect Solvers.
  • SIAM Conference on Computational Science and Engineering, March 2025. Multi-Index Stochastic Collocation for PDEs with Imperfect Solvers.
  • UM-Bridge Workshop, December 2024. An UM-Bridge-based setup for multi-fidelity surrogate models for UQ (invited talk). [PDF] [YouTube]
  • CNR-IMATI Internal Conference, November 2024. Multi-fidelity Approach for Uncertainty Quantification of a Fluid Dynamics NASA Test Case.
  • Workshop on Frontiers of Uncertainty Quantification, September 2024. Adaptive Stochastic Collocation for Parametric Parabolic PDEs.
  • Very Informal Seminar Series, University of Pavia, May 2024. Computationally Efficient Approximation of Parametric Partial Differential Equations.
  • 29th Biennial Numerical Analysis Conference, June 2023. Adaptive in Time Approximation of Parametric Parabolic PDEs.
  • Manchester SIAM-IMA Student Chapter Conference, April 2023. Adaptive in Time Approximation of Parametric Parabolic PDEs (Best Student Talk Prize Winner). [PDF]
  • SIAM Conference on Computational Science and Engineering, February 2023. Efficient Adaptive Stochastic Collocation Strategies for Advection-Diffusion Problems with Uncertain Inputs.
  • SIAM UKIE National Student Chapter Conference, June 2022. Error Estimation for Stochastic Collocation Approximation of Parametric Advection–Diffusion Problems.
  • IBM Research UK, April 2022. Efficient Approximation of Parametric Parabolic PDEs (invited seminar).
  • SIAM Conference on Uncertainty Quantification, April 2022. A Posteriori Error Estimation for Stochastic Collocation Applied to Parametric Parabolic PDEs.
  • 26th Annual Meeting of SIAM UKIE Section, January 2022. A Posteriori Error Estimation for Stochastic Collocation Applied to Parametric Parabolic PDEs.

Organisation