Nicholas Gao Profile
Nicholas Gao

@n_gao96

Followers
371
Following
145
Statuses
78

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

Munich
Joined July 2014
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@n_gao96
Nicholas Gao
8 months
Generalized Neural Wave Functions just got more general! By using Pfaffians instead of determinants, we're able to build fully-learnable NN WF that solve the Schrödinger equation for different molecular compounds. Take a look: w/ @guennemann
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@n_gao96
Nicholas Gao
2 months
RT @lukgosch: Super happy & honored that our work on certifying NNs against poisoning won the Best Paper Award @AdvMLFrontiers at #NeurIPS2
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@n_gao96
Nicholas Gao
2 months
RT @ArthurK48147: Make sure to stop by our #NeurIPS poster on Spatio-Spectral Graph Neural Networks (S²GNNs)! An efficient synergy of spat…
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@n_gao96
Nicholas Gao
2 months
RT @dfuchsgruber: Excited to present our spotlight paper on uncertainty for GNNs at #NeurIPS! 📝Paper: 📆Come by our…
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@n_gao96
Nicholas Gao
2 months
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: Happy to chat!
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@n_gao96
Nicholas Gao
2 months
RT @sirine_ayadi1: This week, we will present our recent #NeurIPS2024 paper.  📎 Paper: 📆 Make sure to visit our p…
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@n_gao96
Nicholas Gao
2 months
RT @MarcelKollovieh: Next week, I'll present our recent paper at NeurIPS 2024 in Vancouver. Many thanks to my amazing collaborators @Bertr
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@n_gao96
Nicholas Gao
3 months
RT @jonkhler: 📣🔥Last chance to submit your work for the @iclr_conf 2025 Blogpost Track! The deadline is November 22, 2024, at 23:59 AOE—…
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@n_gao96
Nicholas Gao
3 months
RT @SchwinnLeo: We are extending the submission deadline by one week to the 22nd of Nov. Looking forward to your submissions!
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@n_gao96
Nicholas Gao
3 months
@HannesStaerk Looking forward to discussing ML DFT functionals. But don't forget to tag @ESEberhard ;-)
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@n_gao96
Nicholas Gao
3 months
RT @HannesStaerk: Monday with @n_gao96 in the reading group "Learning Equivariant Non-Local Electron Density Functionals"
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@n_gao96
Nicholas Gao
3 months
RT @SophieXhon11060: A kind reminder that the deadline for the ICLR2025 Blogpost track is Nov. 15th, 23:59AOE, 2024. If you have any quest…
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@n_gao96
Nicholas Gao
3 months
RT @SchuchardtJan: Deep learning with differential privacy can protect sensitive information of individuals. But what about groups of multi…
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@n_gao96
Nicholas Gao
4 months
Looking to share your thoughts on recent ML research, societal impacts, or current challenges? The blog post track #ICLR2025 is the perfect platform to contribute your perspective. Don't miss out on this opportunity to join the conversation at @iclr_conf!
@SophieXhon11060
Sophie Xhonneux
4 months
📣Call for Blog Posts at #ICLR2025 @iclr_conf Following the success of the past iterations, we are opening the Call for Blog Posts 2025! Please retweet!
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@n_gao96
Nicholas Gao
4 months
RT @SophieXhon11060: 📣Call for Blog Posts at #ICLR2025 @iclr_conf Following the success of the past iterations, we are opening the Call f…
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@n_gao96
Nicholas Gao
4 months
RT @SophieXhon11060: @iclr_conf Call for Blog Posts: Submission deadline: Nov. 15th, 23:59AOE, 2024 All information is now available: https…
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@n_gao96
Nicholas Gao
4 months
RT @ESEberhard: While Nicholas is switching gears, I am switching fields from Physics to Machine Learning. This started out as a curious o…
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@n_gao96
Nicholas Gao
4 months
Switching gears from QMC to DFT for this one. I'm excited to share our newest work, where we learn the non-local exchange-correlation functional in KS-DFT with equivariant graph neural networks! Joint work w/@ESEberhard, @guennemann 📝
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@n_gao96
Nicholas Gao
4 months
RT @SchwinnLeo: Three papers @NeurIPSConf 2024 🎉 An efficient adv. training algorithm for LLMs Unlearned LLMs are…
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@n_gao96
Nicholas Gao
4 months
RT @SchwinnLeo: Open-source LLMs are easy to exploit! 🚨 We present embedding space attacks, showing that unlearning methods are not robust…
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