MTS @MicrosoftAI working on frontier VLM training and multimodal reinforcement learning. ML Theory PhD @GeorgiaTech, Math BS @USC.

Atlanta, GA
Joined December 2019
Tyler LaBonte retweeted
Multimodal reasoning with Phi-4-reasoning-vision, new work on scaling LLM inference, benchmarking AI agents in network operations, cinematic video generation, adaptive evaluation for LLMs, and using AI to improve individual and population health. msft.it/6013QiQgx
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#ICML2023 isn't over yet! Workshops await you! Meet some of the participants: Tyler LaBonte, Akash Harapanahalli, Namrata Nadagouda, and Xinhui Li Details: sites.gatech.edu/icml-2023/w…
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Tyler LaBonte retweeted
Replying to @thegautamkamath
call me min cut cause I got maximum flow
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Undergrads & new grad students - NOW is the time to start thinking about applying for the @nsf GRFP! A thread of advice I've accumulated on how to write a successful application...🧵 #AcademicChatter #phdchat #NSFfunded #STEM #scicomm #sciencetwitter #NSFGRFP 1/20
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My student Kayo Yin needs your help. Her visa has been unnecessarily delayed, which would prevent her from coming to UC Berkeley to start her studies. Despite bringing all required documents, the @StateDept refused to process the visa and it could take months to re-process.
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Tyler LaBonte retweeted
Today's the first day of the Deep Learning Theory Workshop & Summer School at the @SimonsInstitute. Excited to see everyone! Schedule is here, and talks will be streamed & recorded: simons.berkeley.edu/workshop…
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Tyler LaBonte retweeted
And it is here!! Recordings of the Les Houches 2022 have a YouTube channel: youtube.com/channel/UCNvC8um… So far starting with lectures by Remi Monasson, @GiulioBiroli, and Nati Srebro. More to come! Share with the world.
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Totally agree! Anyone screening applications and any applicant thinking their CV is not representative of their skills/potentials, I think you might want to read the story of my own PhD application in this thread: 1/
Any document claiming an easy way to gauge grad school applicants needs to be challenged To wit: While 2 or 3 Unis in Iran are far more selective than others, the # of outstanding candidates far exceeds their enrollment. The given ranking is thus opinion not fact & is misleading
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Replying to @gtcomputing
@gtcomputing is helping underrepresented Phd applicants in CS/HCC/ML/robotics and related areas by matching them with current grad students who provide feedback on their applications. Applicants are invited to fill out this form 📝by Nov 15: forms.office.com/r/j5iazMRDi…
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Tyler LaBonte retweeted
Large learning rates have been widely believed to be important to training deep models, but rarely investigated in theory. Our recent work arxiv.org/abs/2110.03677 studies Gradient Descent for matrix factorization problem and proves some intriguing results of large learning rates.
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Tyler LaBonte retweeted
Statement by the #CVPR2022 Program Chairs regarding the Social Media Policy.
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Tyler LaBonte retweeted
Are you a student from underrepresented groups and applying for graduate school in CS this year? Check out many wonderful (student-led) pre-application programs for supporting PhD applicants!
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Tyler LaBonte retweeted
Get the word out! Student created meme in my course. – at Toronto, Ontario
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Tyler LaBonte retweeted
*drops mic*
You must be confused, @USC. Here's a more accurate depiction of what's going to happen on @NBC at 10/9c tonight.🐻💙 @CapitalOne #CollegeBowl #GoBruins
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Tyler LaBonte retweeted
So You Think You Want to Apply for a PhD The application cycle is coming up. How do I maximize my chance of getting admitted to my dream program? 🤔 Check out the thread below for resources/advices/tips!
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Tyler LaBonte retweeted
I'm #hiring a post-doc in multi-scale, multi-physics modeling of #electrochemistry, #batteries, composites, and manufaturing processes. Involves physics-informed #MachineLearning and image-based simulation. US citizens apply at cg.sandia.gov/psp/applicant/….
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An awesome looking virtual workshop on April 9 for Women in Theory of ML! All-star list of speakers Jelena Diakonikolas, Stefanie Jegelka, Po-Ling Loh, Caroline Uhler, Rachel Ward! Organized by @XiaoxiaWShirley and @MinaKarzand, advised by @WillettBecca. ttic.edu/women-tml2021/
TTIC Women in Theoretical Machine Learning Symposium! Time: April 9th, 2021. Please help to spread. (Announced by Xiaoxia Wu) ttic.edu/women-tml2021/
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