Siddharth Mishra-Sharma
@smsharma.bsky.social
Researcher at Anthropic. Based in SF. Likes cats. smsharma.github.io.
I've been thinking about the Rubik's cube in 4D. I found an old java version from by Don Hatch and Melinda Green and decided to ask claude to port it to a standalone web app that can run in your browser. You can play it here: theoryandpractice.org/cube4d/ Blog: theoryandpractice.org/2026/07/four...
🎉 Great news: Our Machine Learning and Physical Sciences workshop will be back again this year! 🎉 Keep an eye out for updates on deadlines etc, we will be updating the website soon ml4physicalsciences.github.io #ML4PS2025
📣 Hiring! I am looking for PhD/postdoc candidates to work on foundation models for science at @ULiege, with a special focus on weather and climate systems. 🌏 Three positions are open around deep learning, physics-informed FMs and inverse problems with FMs.
Got a photo with a nice branch of my academic family tree: @awehwe.bsky.social @glouppe.bsky.social @smsharma.bsky.social @lukasheinrich.com Nicole Hartman @annalenakofler.bsky.social
The papers and posters for our Machine Learning and Physical Sciences workshop at #NeurIPS2024 are online #ml4ps2024. Come check it out on Sunday ml4physicalsciences.github.io/2024/
Looking forward to catching up with friends and colleagues at NeurIPS next week, as well as meeting new folks -- feel free to reach out ☕!
Fun paper led by Julia Balla: "A Cosmic-Scale Benchmark for Symmetry-Preserving Data Processing". Julia will be presenting the paper at LoG on Thursday as a spotlight oral, and also at the NeurReps Workshop at NeurIPS Workshop next month. 📄: arxiv.org/abs/2410.20516 💻: github.com/smsharma/eqn...
A Cosmic-Scale Benchmark for Symmetry-Preserving Data Processing
Efficiently processing structured point cloud data while preserving multiscale information is a key challenge across domains, from graphics to atomistic modeling. Using a curated dataset of simulated ...
arxiv.org
