Tung Nguyen
@tungnd_13
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Ph.D. Candidate @UCLA. AI for Science. Student Researcher @GoogleDeepMind and Research Intern @MSFTResearch.
Los Angeles, CA
Joined April 2020
Introducing ClimaX, the first foundation model for weather and climate. A fast and accurate one-stop AI solution for a range of atmospheric science tasks. Paper: Blog: Thread🧵 #ML #Climate #Weather #FoundationModel
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RT @danielmisrael: “That’s one small [MASK] for [MASK], a giant [MASK] for mankind.” – [MASK] Armstrong Can autoregressive models predict…
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RT @Vinh_Suhi: 🚀 Exciting news! Our paper "Learning to Discretize Diffusion ODEs" has been accepted as an Oral at #ICLR2025! 🎉 [1/n] We pr…
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RT @hbXNov: Natively multimodal models unlock new possibilities for AI biomedical 🥼assistants, from answering questions about images to gen…
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@DimitrisPapail Shamelessly promoting our paper here :) We studied in-context learning for regression tasks and its applications to decision-making. It’s similar to 1) but proposed a slightly different architecture and experimented on a wider range of tasks.
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RT @ProfTomYeh: Embed-then-regress ~ AI Paper by Hand ✍️with Srijanie. I am pleased to announce this new series in collaboration with Dr. S…
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Introducing MedMax: A multimodal model that can both understand and generate medical images! 🚀 We've made it open source and included a massive instruction-tuning dataset of 1.47M examples to help advance future works in the field. Incredible work led by @hbXNov!
Natively multimodal models unlock new possibilities for AI biomedical 🥼assistants, from answering questions about images to generating them for decision-making. Thrilled to introduce MedMax—an open sota multimodal model designed for diverse biomedical tasks and domains🩻
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Proud to be part of this project!
Excited to share that our paper received the Best Paper Award runner-up at the NeurIPS workshop on Foundation Model Interventions @MINT_workshop ! Congrats to Tung (@tungnd_13) and Aditya (@adityagrover_ )!
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RT @siyan_zhao: Excited to share that our paper received the Best Paper Award runner-up at the NeurIPS workshop on Foundation Model Interve…
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@ArashVahdat Very interested in Gen AI for weather! Leaving a comment here so I’ll be notified :)
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RT @VinAI_Research: 🏆 170+ publications = 170+ reasons to celebrate! To date, #VinAI research team have published over 170 research papers…
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I also co-author two other papers at #NeurIPS2024 with my amazing collaborators @siyan_zhao @hbXNov @TroyArcomano @Sand3e3p @juannat7 @YongquanQu2340 @SungdukYu @PierreGentine @adityagrover_ and others who are not on X :) 1. ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction Website: NeurIPS URL: 2. Probing the Decision Boundaries of In-context Learning in Large Language Models Paper: Code:
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@sarahookr Thank you for highlighting this news! My former company @VinAI_Research was also one of the first in Vietnam to establish a research-focused training program for young people and a lot of us were able to do a PhD in the US thanks to this program :)
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RT @li78658171: Introducing OmniFlow, a unified multi-modal foundational model for image, audio and text generation. It extends the MMDiT a…
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