Very fortunate to be an intern at #intuit AI! This precious experience has greatly helped me to bridge the gap between research and deployment. Our developed model has significantly improved performance over the current solution, and will be deployed into multiple pipelines.

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We have multiple postdoc openings at the AI Institute for the Foundations of Machine Learning (IFML). Fellows can work with all IFML groups in UT Austin, Univ. of Washington and Microsoft Research apply.interfolio.com/98753 (1/3)

Wow, what’s not to love — the GREAT CATSPY! 🐈‍⬛ 🍾🪩 Made entirely by #AI text-to-video!

We're thrilled to release our Hugging Face demo for the one-step InstaFlow-0.9B! Experience the magic of instant text-to-image generation here: huggingface.co/spaces/XCLiu/I… arXiv Paper: arxiv.org/abs/2309.06380 Project Page: github.com/gnobitab/Insta…

Had a (positive) “deer-in-the-headlights” moment today when scrolled to these kind & generous words from Valeriy M., PhD, MBA, CQF on our new paper w/ Samuel Stanton Anqi (Angie) Liu Suchi Saria! 😆arxiv.org/abs/2405.06627 Humbled & grateful to share this work. Full paper summary thread soon!

I've just arrived in Vilnius, Lithuania for ECML PKDD and I’m happy to present our paper, "Novel Node Category Detection Under Subpopulation Shift” Paper link: arxiv.org/abs/2404.01216

AI monitoring is key to responsible deployment. Our #ICML2025 paper develops approaches for 3 main goals: 1) *Adapting* to mild data shifts 2) *Quickly Detecting* harmful shifts 3) *Diagnosing* cause of degradation 🧵w/ Xing Han 韩星 Anqi (Angie) Liu Suchi Saria arxiv.org/abs/2505.04608

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