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A diffusion approach to Stein's method on Riemannian manifolds (2024)
Journal Article
Le, H., Lewis, A., Bharath, K., & Fallaize, C. (2024). A diffusion approach to Stein's method on Riemannian manifolds. Bernoulli, 30(2), 1079-1104. https://doi.org/10.3150/23-bej1625

We detail an approach to developing Stein’s method for bounding integral metrics on probability measures defined on a Riemannian manifold M. Our approach exploits the relationship between the generator of a diffusion on M having a target invariant me... Read More about A diffusion approach to Stein's method on Riemannian manifolds.

Learning quantities of interest from parametric PDEs: An efficient neural-weighted Minimal Residual approach (2024)
Journal Article
Brevis, I., Muga, I., Pardo, D., Rodriguez, O., & Van Der Zee, K. G. (in press). Learning quantities of interest from parametric PDEs: An efficient neural-weighted Minimal Residual approach. Computers and Mathematics with Applications,

The efficient approximation of parametric PDEs is of tremendous importance in science and engineering. In this paper, we show how one can train Galerkin discretizations to efficiently learn quantities of interest of solutions to a parametric PDE. The... Read More about Learning quantities of interest from parametric PDEs: An efficient neural-weighted Minimal Residual approach.

Neural network emulation of the human ventricular cardiomyocyte action potential for more efficient computations in pharmacological studies (2024)
Journal Article
Grandits, T., Augustin, C. M., Haase, G., Jost, N., Mirams, G. R., Niederer, S. A., …Jung, A. (2024). Neural network emulation of the human ventricular cardiomyocyte action potential for more efficient computations in pharmacological studies. eLife, 12, Article RP91911. https://doi.org/10.7554/elife.91911.3

Computer models of the human ventricular cardiomyocyte action potential (AP) have reached a level of detail and maturity that has led to an increasing number of applications in the pharmaceutical sector. However, interfacing the models with experimen... Read More about Neural network emulation of the human ventricular cardiomyocyte action potential for more efficient computations in pharmacological studies.

Describing financial crisis propagation through epidemic modelling on multiplex networks (2024)
Journal Article
Bozhidarova, M., Ball, F., van Gennip, Y., O'Dea, R. D., & Stupfler, G. (2024). Describing financial crisis propagation through epidemic modelling on multiplex networks. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 480(2287), Article 20230787. https://doi.org/10.1098/rspa.2023.0787

This paper proposes a novel framework for modelling the spread of financial crises in complex networks, combining financial data, Extreme Value Theory and an epidemiological transmission model. We accommodate two key aspects of contagion modelling: f... Read More about Describing financial crisis propagation through epidemic modelling on multiplex networks.

Every quantum helps: Operational advantage of quantum resources beyond convexity (2024)
Journal Article
Kuroiwa, K., Takagi, R., Adesso, G., & Yamasaki, H. (2024). Every quantum helps: Operational advantage of quantum resources beyond convexity. Physical Review Letters, 132(15), Article 150201 . https://doi.org/10.1103/PhysRevLett.132.150201

Identifying what quantum-mechanical properties are useful to untap a superior performance in quantum technologies is a pivotal question. Quantum resource theories provide a unified framework to analyze and understand such properties, as successfully... Read More about Every quantum helps: Operational advantage of quantum resources beyond convexity.

Robustness-and weight-based resource measures without convexity restriction: Multi-copy witness and operational advantage in static and dynamical quantum resource theories (2024)
Journal Article
Kuroiwa, K., Takagi, R., Adesso, G., & Yamasaki, H. (2024). Robustness-and weight-based resource measures without convexity restriction: Multi-copy witness and operational advantage in static and dynamical quantum resource theories. Physical Review A, 109(4), Article 042403 . https://doi.org/10.1103/PhysRevA.109.042403

Quantum resource theories (QRTs) provide a unified framework to analyze quantum properties as resources for achieving advantages in quantum information processing. The generalized robustness and the weight of resource have been gaining increasing att... Read More about Robustness-and weight-based resource measures without convexity restriction: Multi-copy witness and operational advantage in static and dynamical quantum resource theories.

On K-moduli of quartic threefolds (2024)
Journal Article
Abban, H., Cheltsov, I., Kasprzyk, A., Liu, Y., & Petracci, A. (in press). On K-moduli of quartic threefolds. Algebraic Geometry,

The family of smooth Fano 3-folds with Picard rank 1 and anticanonical volume 4 consists of quartic 3-folds and of double covers of the 3-dimensional quadric branched along an octic surface. They can all be parametrised as complete intersections of a... Read More about On K-moduli of quartic threefolds.

Estimating disease transmission in a closed population under repeated testing (2024)
Journal Article
Wascher, M., Schnell, P., Khuda Bukhsh, W. R., Quam, M. B. M., Tien, J. H., & Rempala, G. A. (in press). Estimating disease transmission in a closed population under repeated testing. Journal of the Royal Statistical Society: Series C, https://doi.org/10.1093/jrsssc/qlae021

The paper presents a novel statistical framework for COVID-19 transmission monitoring and control, which was developed and deployed at The Ohio State University (OSU) main campus in Columbus during the Autumn term of 2020. Our approach effectively ha... Read More about Estimating disease transmission in a closed population under repeated testing.