Anthony Y. Zhou

According to our database, Anthony Y. Zhou authored at least 9 papers between 2024 and 2025.

Collaborative distances:

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

2025

BlastOFormer: Attention and Neural Operator Deep Learning Methods for Explosive Blast Prediction.

Reid Graves, Anthony Y. Zhou, Amir Barati Farimani

CoRR, May, 2025

Neural Functional: Learning Function to Scalar Maps for Neural PDE Surrogates.

Anthony Y. Zhou, Amir Barati Farimani

CoRR, May, 2025

Generative Latent Neural PDE Solver using Flow Matching.

Zijie Li, Anthony Y. Zhou, Amir Barati Farimani

CoRR, March, 2025

Text2PDE: Latent Diffusion Models for Accessible Physics Simulation.

Anthony Y. Zhou, Zijie Li, Michael Schneier, John R. Buchanan Jr., Amir Barati Farimani

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Strategies for Pretraining Neural Operators.

Anthony Y. Zhou, Cooper Lorsung, AmirPouya Hemmasian, Amir Barati Farimani

Trans. Mach. Learn. Res., 2024

Masked Autoencoders are PDE Learners.

Anthony Y. Zhou, Amir Barati Farimani

Trans. Mach. Learn. Res., 2024

Predicting Change, Not States: An Alternate Framework for Neural PDE Surrogates.

Anthony Y. Zhou, Amir Barati Farimani

CoRR, 2024

CaFA: Global Weather Forecasting with Factorized Attention on Sphere.

Zijie Li, Anthony Y. Zhou, Saurabh Patil, Amir Barati Farimani

CoRR, 2024

FaultFormer: Pretraining Transformers for Adaptable Bearing Fault Classification.

Anthony Y. Zhou, Amir Barati Farimani

IEEE Access, 2024