VBFF Preprints

J. Bunker, M. Girolami, H. Lambley, A. M. Stuart, T. J. Sullivan; Autoencoders in Function Space
[Preprint]

Y. Chen, D. Z. Huang, J. Huang, S. Reich, A. M. Stuart; Efficient, Multimodal, and Derivative-Free Bayesian Inference With Fisher-Rao Gradient Flows
[Preprint]

M. Sirlanci, G. Hripcsak, C. C. L. Wang, J. N. Stroh, Y. Wang, T. D. Bennett, A. M. Stuart, D. J. Albers; A Stochastic Model-Based Control Methodology for Glycemic Management in the Intensive Care Unit
[Preprint]

E. Calvello, N. B. Kovachki, M. E. Levine, A. M. Stuart; Continuum Attention for Neural Operators
[Preprint]

O. D. Akyildiz, M. Girolami, A. M. Stuart, A. Vadeboncoeur; Efficient Prior Calibration From Indirect Data
[Preprint]

S. Lanthaler, A. M. Stuart, M. Trautner; Discretization Error of Fourier Neural Operators
[Preprint]

Y. Chen, B. Hosseini, H. Owhadi, A. M. Stuart; Gaussian Measures Conditioned on Nonlinear Observations: Consistency, MAP Estimators, and Simulation
[Preprint]

H. Kaveh, J. Avouac, A. M. Stuart; Spatiotemporal forecast of extreme events in a dynamical model of earthquake sequences
[Preprint]

N. B. Kovachki, S. Lanthaler, A. M. Stuart; Operator Learning: Algorithms and Analysis
[Preprint]

J. A. Carrillo, F. Hoffmann, A. M. Stuart, U. Vaes; Statistical Accuracy of Approximate Filtering Methods
[Preprint]

J. Parres-Gold, M. Levine, B. Emert, A. Stuart, M. Elowitz; Principles of Computation by Competitive Protein Dimerization Networks
[Preprint]

K. Bhattacharya, N. Kovachki, A. Rajan, A. M. Stuart, M. Trautner; Learning Homogenization for Elliptic Operators
[Preprint]

S. Lanthaler, A. M. Stuart; The Parametric Complexity of Operator Learning
[Perprint]

S. Lanthaler, Z. Li, A. M. Stuart; The Nonlocal Neural Operator: Universal Approximation
[Preprint]

Y. Chen, D. Zhengyu Huang, J. Huang, S. Reich, A. M. Stuart; Gradient Flows for Sampling: Mean-Field Models, Gaussian Approximations and Affine Invariance
[Preprint]

J. A. Carrillo, F. Hoffmann, A. M. Stuart, U. Vaes; The Ensemble Kalman Filter in the Near-Gaussian Setting
[Preprint]

E. Calvello, S. Reich, A. M. Stuart; Ensemble Kalman Methods: A Mean Field Perspective
[Preprint]

Z. Liu, A. M. Stuart, Y. Wang; Second Order Ensemble Langevin Method for Sampling and Inverse Problems
[Preprint]

E. Luk, E. Bach, R. Baptista, A.Stuart; Learning Optimal Filters Using Variational Inference
[Preprint]

O. Dunbar, N. Nelsen, M. Mutic; Hyperparameter Optimization for Randomized Algorithms: A Case Study for Random Features
[Preprint]

R. Baptista, E. O'Reilly, Y. Xie; TrIM: Transformed Iterative Mondrian Forests for Gradient-based Dimension Reduction and High-Dimensional Regression
[Preprint]

B. Feng, R. Baptista, K. L. Bouman; Neural Approximate Mirror Maps for Constrained Diffusion Models
[Preprint]

M. Provost, R. Baptista, J. Eldredge, Y. Marzouk; An adaptive ensemble filter for heavy-tailed distributions: tuning-free inflation and localization
[Preprint]

Z. Wang, R. Baptista, Y. Marzouk, L. Ruthotto, D. Verma; Efficient neural network approaches for conditional optimal transport with applications in Bayesian inference
[Preprint]

L. Cao, T. O'Leary-Roseberry, O. Ghattas; Derivative-informed neural operator acceleration of geometric MCMC for infinite-dimensional Bayesian inverse problems
[Preprint]

O. Key, S. Takao, D. Giles, M. Deisenroth; Scalable Data Assimilation with Message Passing
[Preprint]

E. Carlson, A. Farhat, V. Martinez, C. Victor; Determining Modes, Synchronization, and Intertwinement
[Preprint]

E. Carlson, A. Farhat, V. Martinez, C. Victor; On the Infinite-Nudging Limit of the Nudging Filter for Continuous Data Assimilation
[Preprint]