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Nicholas Gao

@n-gao.bsky.social
314 followers 69 following 10 posts

PhD Student @TU_Munich Machine Learning for Quantum Chemistry Former: Intern @MSFTResearch AI4Science & Intern @NasaAmes

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Reposted by Nicholas Gao
sophie-xhonneux.bsky.social @sophie-xhonneux.bsky.social · 22/09/2025
Call for Blog Posts: Submission deadline: Dec. 1st, 2025 23:59 AOE All information is now available: iclr-blogposts.github.io/2026/about/ Please RT! Organizers: @schwinnl.bsky.social @busycalibrating.bsky.social @jonkhler.argmin.xyz @n-gao.bsky.social @mhrnz.bsky.social & myself
iclr-blogposts.github.io
about | ICLR Blogposts 2026
A simple, whitespace theme for academics. Based on [*folio](https://github.com/bogoli/-folio) design.
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Reposted by Nicholas Gao
sophie-xhonneux.bsky.social @sophie-xhonneux.bsky.social · 22/09/2025
See last year's accepted blog posts: iclr-blogposts.github.io/2025/blog/in...
iclr-blogposts.github.io
blog | ICLR Blogposts 2025
Home to the 2025 ICLR Blogposts track
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Reposted by Nicholas Gao
sophie-xhonneux.bsky.social @sophie-xhonneux.bsky.social · 22/09/2025
Blog Posts are a great medium to share ML research. If you have new intuitions on past work, noticed key implementation details for reproducibility, have insights into the societal implications of AI, or an interesting negative result consider writing and submitting a blogpost.
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Reposted by Nicholas Gao
sophie-xhonneux.bsky.social @sophie-xhonneux.bsky.social · 22/09/2025
📣 Call for Blog Posts at #ICLR2026 @iclr_conf Following the success of the past iterations, we are opening the Call for Blog Posts 2026! iclr-blogposts.github.io/2026/about/#... Please retweet!
abs-0.twimg.com
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Reposted by Nicholas Gao
Adam Foster @adamefoster.bsky.social · 26/06/2025
I am very happy to share Orbformer, a foundation model for wavefunctions using deep QMC that offers a route to tackle strongly correlated quantum states! arxiv.org/abs/2506.19960 (1/n)
arxiv.org
An ab initio foundation model of wavefunctions that accurately describes chemical bond breaking
Reliable description of bond breaking remains a major challenge for quantum chemistry due to the multireferential character of the electronic structure in dissociating species. Multireferential method...
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Nicholas Gao @n-gao.bsky.social · 09/04/2025
I am truly excited to share our latest work with @mscherbela.bsky.social, Philipp Grohs, and @guennemann on "Accurate Ab-initio Neural-network Solutions to Large-Scale Electronic Structure Problems"! arxiv.org/abs/2504.06087
arxiv.org
Accurate Ab-initio Neural-network Solutions to Large-Scale Electronic Structure Problems
We present finite-range embeddings (FiRE), a novel wave function ansatz for accurate large-scale ab-initio electronic structure calculations. Compared to contemporary neural-network wave functions, Fi...
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Reposted by Nicholas Gao
Lukas Gosch @lukasgosch.bsky.social · 14/12/2024
Super happy & honored that our work on certifying NNs against poisoning won the Best Paper Award at AdvML-Frontiers@ #NeurIPS2024. Come by our poster 10:40am-12&4-5pm (or talk) today :) Joint work w/ Mahalakshmi Sabanayagam, Debarghya Ghoshdastidar & Stephan Günnemann L: arxiv.org/pdf/2407.10867
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Nicholas Gao @n-gao.bsky.social · 09/12/2024
Excited to present our work on Neural Pfaffians at #NeurIPS. 🗣️ Oral: Friday 3:30pm, East Ballroom A, B 📊 Post: Friday 4:30pm - 7:30pm, East Exhibit Hall A-C #3600 📝 Paper: openreview.net/forum?id=HRk... Happy to chat!
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Jonas Köhler @jonkhler.argmin.xyz · 19/11/2024
📣🔥Last chance to submit your work for the @iclr-conf.bsky.social 2025 Blogpost Track! The deadline is November 22, 2024, at 23:59 AOE—don’t miss it! For any inquiries, feel free to reach out to us at: iclr-blogpost-track@googlegroups.com. iclr.cc/Conferences/... #MachineLearning
iclr.cc
Call for Blog Posts
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