Kazlauskaite, Ieva

Number of items: 4.
LSE
  • Rasmussen, Aksel Kaastrup, Seizilles, Fanny, Girolami, Mark, Kazlauskaite, Ieva (2024). The Bayesian approach to inverse Robin problems. SIAM/ASA Journal on Uncertainty Quantification, 12(3), 1050 - 1084. https://doi.org/10.1137/23M1620624 picture_as_pdf
    • Statistics
  • Glyn-Davies, Alex, Duffin, Connor, Kazlauskaite, Ieva, Girolami, Mark, Akyildiz, Ö. Deniz (2025). Statistical finite elements via interacting particle Langevin dynamics. SIAM/ASA Journal on Uncertainty Quantification, 13(3), 1200 - 1227. https://doi.org/10.1137/24m1693593 picture_as_pdf
  • Glyn-Davies, Alex, Vadeboncoeur, Arnaud, Akyildiz, O. Deniz, Kazlauskaite, Ieva, Girolami, Mark (2025). A primer on variational inference for physics-informed deep generative modelling. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 383(2299). https://doi.org/10.1098/rsta.2024.0324 picture_as_pdf
  • Williams, C. Rosie, Thodoroff, Pierre, Arthern, Robert J., Byrne, James, Hosking, J. Scott, Kaiser, Markus, Lawrence, Neil D., Kazlauskaite, Ieva (2025). Calculations of extreme sea level rise scenarios are strongly dependent on ice sheet model resolution. Communications Earth and Environment, 6(1). https://doi.org/10.1038/s43247-025-02010-z picture_as_pdf