Tiffany Fan

According to our database, Tiffany Fan authored at least 7 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Physically Interpretable Representation Learning with Gaussian Mixture Variational AutoEncoder (GM-VAE).

Tiffany Fan, Murray Cutforth, Marta D'Elia, Alexandre Cortiella, Alireza Doostan, Eric Darve

CoRR, November, 2025

Multi-fidelity Batch Active Learning for Gaussian Process Classifiers.

Murray Cutforth, Yiming Yang, Tiffany Fan, Serge Guillas, Eric Darve

CoRR, October, 2025

Bi-fidelity Interpolative Decomposition for Multimodal Data.

Murray Cutforth, Tiffany Fan, Tony Zahtila, Alireza Doostan, Eric Darve

CoRR, September, 2025

Physically Interpretable Representation and Controlled Generation for Turbulence Data.

Tiffany Fan, Murray Cutforth, Marta D'Elia, Alexandre Cortiella, Alireza Doostan, Eric Darve

Proceedings of the IEEE Conference on Artificial Intelligence, 2025

2022

Probabilistic partition of unity networks for high-dimensional regression problems.

Tiffany Fan, Nathaniel Trask, Marta D'Elia, Eric Darve

CoRR, 2022

2020

Solving Inverse Problems in Steady State Navier-Stokes Equations using Deep Neural Networks.

Tiffany Fan, Kailai Xu, Jay Pathak, Eric Darve

CoRR, 2020

Spectrum-Adapted Polynomial Approximation for Matrix Functions with Applications in Graph Signal Processing.

Tiffany Fan, David I. Shuman, Shashanka Ubaru, Yousef Saad

Algorithms, 2020