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PhD Student
,
UC Berkeley Berkeley AI Research Lab (BAIR) and Lawrence Berkeley National Laboratory (LBNL)
2023–
Publications
(7)
Quantifying Nanoparticle Assembly States in a Polymer Matrix through Deep Learning
Macromolecules · 2021
16
cited
Autoencoding Hyperbolic Representation for Adversarial Generation
Trans. Mach. Learn. Res. · 2022
7
cited
Hyperbolic Neural Networks for Molecular Generation
arXiv.org · 2022
6
cited
In Situ Atomic Force Microscopy Tracking of Nanoparticle Migration in Semicrystalline Polymers.
ACS Macro Letters · 2022
4
cited
Hyperbolic Convolution via Kernel Point Aggregation
arXiv.org · 2023
3
cited
Lorentzian Fully Hyperbolic Generative Adversarial Network
2022
3
cited
Hyperbolic Kernel Convolution: A Generic Framework
LOG IN · 2024
1
cited
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