Vivek Bharadwaj
@vivek-bharadwaj.com
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Graduate Student, UC Berkeley | HPC and Parallel Computing | Details at vivek-bharadwaj.com
I'll be at SIAM CSE25 next Tuesday talking about optimizing CUDA kernels for chemistry foundation models - stop by MS82 and the rest of
@giulsguidi.bsky.social
's minisymposium!
meetings.siam.org/sess/dsp_pro...
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Conference Program Online
https://meetings.siam.org/sess/dsp_programsess.cfm?SESSIONCODE=81109
9 months ago
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I'm happy to share our new preprint on equivariant graph neural networks! These machine learning models are popular in computational chemistry. They rotate their output predictions when the input coordinates rotate, but are computationally expensive (a problem we tackle):
arxiv.org/abs/2501.13986
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An Efficient Sparse Kernel Generator for O(3)-Equivariant Deep Networks
Rotation equivariant graph neural networks, i.e., networks designed to guarantee certain geometric relations between their inputs and outputs, yield state-of-the-art performance on spatial deep learni...
https://arxiv.org/abs/2501.13986
10 months ago
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If you want an academic website and really like Python, you should try my fork of the al-folio template!
github.com/vbharadwaj-b...
It's easy to set up, hackable, and based on Python's Pelican package (the original uses Jekyll / Ruby). Check out my personal page (see bio) for a demo :)
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GitHub - vbharadwaj-bk/al-folio-python: The al-folio template rewritten to use the Pelican SSG, Jinja templates, and Python extensions. Power to Python!
The al-folio template rewritten to use the Pelican SSG, Jinja templates, and Python extensions. Power to Python! - vbharadwaj-bk/al-folio-python
https://github.com/vbharadwaj-bk/al-folio-python
12 months ago
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