VBFF Publications

2024

D. Vishny, M. Morzfeld, K. Gwirtz, E. Bach, O. R. A. Dunbar, D. Hodyss; High-Dimensional Covariance Estimation From a Small Number of Samples, Journal of Advances in Modeling Earth Systems, Volume 16, Issue 9, 2024.
[Online Publication] [pdf]

N. H. Nelsen, A. M. Stuart; Operator Learning Using Random Features: A Tool for Scientific Computing; SIAM Review, Vol. 66, No. 3, pp. 535–571, 2024.
[Online Publication] [pdf]

J.-L. Wu, M. E. Levine, T. Schneider, A. M. Stuart; Learning about structural errors in models of complex dynamical systems; Journal of Computational Physics, 513 (2024) 113157.
[Online Publication] [pdf]

E. Bach, T. Colonius, I. Scherl, A. M. Stuart; Filtering Dynamical Systems Using Observations of Statistics; Chaos, Vol. 34, Issue 3, March 2024.
[Online Publication] [pdf]

D. Huang, N. H. Nelsen, M. Trautner; An operator learning perspective on parameter-to-observable maps, Foundations of Data Science, 2024.
[Online Publication] [pdf]

Z. Wan, R. Baptista, Y. Chen, J. Anderson, A. Boral, F. Sha, L. Zepeda-Núñez; Debias coarsely, sample conditionally: Statistical downscaling through optimal transport and probabilistic diffusion models, Advances in Neural Information Processing Systems, Vol. 36, 2024.
[Online Publication] [pdf]

M. Alain, S. Takao, B. Paige, M. Deisenroth; Gaussian Processes on Cellular Complexes, International Conference on Machine Learning, 2024.
[Online Publication] [pdf]

R. Anderka, M. Deisenroth, S. Takao; Iterated INLA for State and Parameter Estimation in Nonlinear Dynamical Systems, Uncertainty in Artificial Intelligence, 2024.
[Online Publication] [pdf]

C. Au, M. Tsamados, P. Manescu, S. Takao; ARISGAN: Extreme Super-Resolution of Arctic Surface Imagery using Generative Adversarial Networks, Frontiers in Remote Sensing, 2024.
[Online Publication] [pdf]

W. Chen, M. Tsamados, R. Willatt, D. Brockley, M. Deisenroth, C. de Rijke-Thomas, A. Francis, L. Hirata, T. Johnson, I. Lawrence, S. Takao and others; Co-located OLCI optical imagery and SAR altimetry from Sentinel-3 for enhanced Arctic spring sea ice surface classification, Frontiers in Remote Sensing, 2024.
[Online Publication] [pdf]

W. Gregory, R. MacEachern, S. Takao, I. Lawrence, C. Nab, M. P. Deisenroth, M. Tsamados; Scalable interpolation of satellite altimetry data with probabilistic machine learning, Nature Communications 15, Article number: 7453 (2024).
[Online Publication] [pdf]

2023

B. Liu, E. Ocegueda, M. Trautner, A. M. Stuart, K. Bhattacharya; Learning Macroscopic Internal Variables and History Dependence From Microscopic Models, J. Mech. Phys. Solids, Vol. 178 (2023) 105329.
[Online Publication] [pdf]

J. Alfonso, R. Baptista, A. Bhakta, N. Gal, A. Hou, I.Lyubimova, D. Pocklington, J. Sajonz, G. Trigila, R. Tsai; A generative flow for conditional sampling via optimal transport, NeurIPS Optimal Transport Workshop, 2023.
[Online Publication] [pdf]

S. Lanthaler, N. Nelsen; Advances; Error bounds for learning with vector-valued random features, Neural Information Processing Systems, Curran Associates, Inc., 71834--71861, Vol. 36, 2023.
[Online Publication] [pdf]