Thomas X. Wang
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    • Zebra: In-Context and Generative Pretraining for Solving Parametric PDEs
    • Weight Conditioning for Smooth Optimization of Neural Networks
    • AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields
    • AutoBasisEncoder: Pre-trained Neural Field Basis via Autoencoding for Operator Learning
    • Operator Learning with Neural Fields: Tackling PDEs on General Geometries
    • Handling unstructured data for operator learning using implicit neural representations
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    • Data Science (LU1INMA1)
    • Algorithms (LU2IN003)
    • Data Science (LU1INMA1)
    • Algorithms (LU2IN003)
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Teaching
Algorithms (LU2IN003)

Algorithms (LU2IN003)

Jan 1, 2023 · 1 min read

Term: Spring 2023
Role: Teaching Assistant
Institution: Sorbonne Université

Last updated on Jan 1, 2023
Thomas X. Wang
Authors
Thomas X. Wang
PhD Student in Deep Learning
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