Tyler LaBonte @tmlabonte
ML PhD student @GeorgiaTech, Math BS @USC. Deep learning theory, generalization, robustness. tyler-labonte.com Atlanta, GA Joined December 2019-
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@guilhermeotina @TmlrOrg Yep! Most methods which infer group structure use properties of the model representation; we argue feature learning is key for understanding & interpreting them (e.g. Izmailov 2022). Our TMLR paper is more specific to unbalanced LLR, but feature learning papers are in the works!
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The updated version of this paper has been accepted at @TmlrOrg 🚨🚀 Very excited about implications of our results for SOTA robustness algorithms & understanding spurious correlations more generally. Journal version link: openreview.net/pdf?id=h81ztbr…
Heading to #ICLR2025 to present our SCSL workshop paper on understanding how last-layer retraining methods mitigate spurious correlations! openreview.net/pdf?id=B2W51aq… Stop by on Monday, April 28 to chat and learn more 🙂
@matheusmaldaner @iStaridium @LAHacks Go to Tacos 1986!
Cramér on Lindeberg: "When he was reproached for not being sufficiently active in his scientific work, he said 'Well, I am really a farmer.' And if somebody happened to say that his farm was not properly cultivated, his answer was 'Of course my real job is to be a professor.'"
@iamwaynechi Can't wait for more games in various shades of red! ("rougelikes"... ok I'll see myself out)
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
Our Phi-4-reasoning-vision-15B technical report is now available on arxiv: arxiv.org/abs/2603.03975
Some nice coverage on our new model release, highlighting our hybrid approach to multimodal reasoning 🚀
Microsoft built Phi-4-reasoning-vision-15B to know when to think — and when thinking is a waste of time venturebeat.com/ai/microsoft-b…
It's been the privilege of my career to help build the newest Phi series model from @MSFTResearch! Phi-4-reasoning-vision-15B is open-weight & competitive on perf with 10X less compute/tokens. Read the blog for math and CUA case studies, hybrid reasoning, data insights, & more!
Vision-language models improve multimodal systems, but can make them slower, costlier, and harder to deploy. Learn how Phi-4-reasoning-vision-15B, a compact and fast multimodal reasoning model, blends strengths of different methods while reducing their limits:
@bneyshabur Best of luck, Behnam! Looking forward to what comes next!
Finally, thanks to @Kangwook_Lee's "Tenure Track Simulator" post for inspiring me to make the game public and write this up!
Misc takeaways: • Copilot + GitHub was far more useful than I expected • Keeping code style consistent across humans + agents is painful • Overall: Claude was best for agentic coding; Gemini best for interactive pair-programming
Over the holidays, I stress-tested the AI coding hype by doing something concrete: I built a college football simulator game from scratch to see if agents actually deliver. Here’s what I learned 👇
Zachary Lipton @zacharylipton
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Tom Goldstein @tomgoldsteincs
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Brown Inc @BrownInc287428
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NEC Labs America @NECLabsAmerica
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The Lady Xor The Tige... @lady_xor_tiger
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Precival🎴 (überme... @precivalonchain
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Stock Community @BelleAddin66694
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Ted @Tedd19Ley
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Yann LeCun @ylecun
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Gautam Kamath @thegautamkamath
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Dan Roy @roydanroy
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Zachary Lipton @zacharylipton
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77K Followers 1K Following I work on AI at OpenAI. Former VP AI and Distinguished Scientist at Microsoft.
Jeremy Cohen @deepcohen
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Jason Lee @jasondeanlee
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Alex Dimakis @AlexGDimakis
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Jonathan Frankle @jefrankle
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Natasha Jaques @natashajaques
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Dimitris Papailiopoul... @DimitrisPapail
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Microsoft Research @MSFTResearch
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Shivam Duggal @ShivamDuggal4
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Tim Pearce @Tea_Pearce
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Riashat Islam @riashatislam
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Saining Xie @sainingxie
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Hanna Wallach (@hanna... @hannawallach
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