Reliable mechanistic operator recovery with biologically-informed neural networks: principles for architecture and optimisation design
Crossley, R
Yin, Y
Waters, S
Baker, R
(08 Jul 2026)
https://arxiv.org/abs/2607.07425v1
An optimal control approach to nonlinear wave speed selection in reaction-diffusion equations
Crossley, R
Falco, C
Baker, R
(18 Mar 2026)
https://arxiv.org/abs/2603.17601v1
Overidentification testing with weak instruments and heteroskedasticity
Lane, S
Windmeijer, F
(25 Sep 2025)
https://arxiv.org/abs/2509.21096v1
Best Feasible Conditional Critical Values for a More Powerful Subvector Anderson-Rubin Test
Hoekstra, J
Windmeijer, F
(25 Jan 2026)
https://arxiv.org/abs/2601.17843v1
Two-Sample IV: Efficient Two-Step Estimation and Tests for Overidentification and Weak-Instruments
Kasenally, F
Guan, R
Windmeijer, F
(18 Jun 2026)
https://arxiv.org/abs/2606.20240v1
The Null Energy Condition through the Lens of Optimal Transport: Smooth and Non-Smooth Spacetimes
Cavalletti, F
Manini, D
Mondino, A
(15 Sep 2026)
Learning functional components of PDEs from data using neural networks
Loman, T
Salmaniw, Y
Villares, A
Carrillo, J
Baker, R
(13 Feb 2026)
https://arxiv.org/abs/2602.13174v2
Numerical stationary states for nonlocal Fokker-Planck equations via fixed points of consistency maps
Carrillo, J
Salmaniw, Y
Villares, A
(05 Feb 2026)
https://arxiv.org/abs/2602.05632v1
Fokker-Planck equations on discrete infinite graphs
Carrillo, J
Wang, X
(15 Nov 2025)
https://arxiv.org/abs/2511.12076v2
Stein Variational Gradient Descent dynamics for highly concentrated kernels
Carrillo, J
Skrzeczkowski, J
Warnett, J
(05 May 2026)
https://arxiv.org/abs/2605.03627v1