Hi! I'm Anthony Zhou, a PhD student at Carnegie Mellon University's
MAIL Lab
where I research machine learning methods for PDE solving and physics simulation.
I enjoy combining numerical methods with deep learning to create fast and accessible engineering tools.
In my free time I like to cook, go outside, or take pictures.
Publications
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Predicting Change, Not States: An Alternate Framework for Neural PDE Surrogates Computer Methods in Applied Mechanics and Engineering, 2025 -
Text2PDE: Latent Diffusion Models for Accessible Physics Simulation International Conference on Learning Representations, 2025 -
Generative Latent Neural PDE Solver using Flow Matching Preprint, 2025 -
Strategies for Pretraining Neural Operators Transactions on Machine Learning Research, 2024 -
Masked Autoencoders are PDE Learners Transactions on Machine Learning Research, 2024 -
CaFA: Global Weather Forecasting with Factorized Attention on Sphere Preprint, 2024 -
FaultFormer: Pretraining Transformers for Adaptable Bearing Fault Classification IEEE Access, 2024 -
The Variable Stiffness Treadmill 2: Development and Validation of a Unique Tool to Investigate Locomotion on Compliant Terrains Journal of Mechanisms and Robotics, 2025