Maggie Chen
@ChenMaggieSY
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@stanfordmstp. words in fun places 🌈
Joined November 2017
I wrote about my family in the @nytimes this week. During quarantine after coming home from college, there would always be a plate of fruit sent up to my room. When hugging is not possible, cut fruit suffices as a symbol of love 🍎 https://t.co/QLqH2weIiR
nytimes.com
Modern Love in miniature, featuring reader-submitted stories of no more than 100 words.
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Robots need memory to handle complex, multi-step tasks. Can we design an effective method for this? We propose MemER, a hierarchical VLA policy that learns what visual frames to remember across multiple long-horizon tasks, enabling memory-aware manipulation. (1/5)
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Turns out you can learn useful representations from unpaired multimodal data! In our new paper, we show that training on image+text data that lack correspondences learns better image representations than training on images alone. Led by @sharut_gupta - check out her thread ⬇️
[1/7] Paired multimodal learning shows that training with text can help vision models learn better image representations. But can unpaired data do the same? Our new work shows that the answer is yes! w/ @shobsund @ChenyuW64562111, Stefanie Jegelka and @phillip_isola
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big diffusion models!! recursive learning!! always impressed as usual by the wonderful @exnx. congrats on the release @RadicalNumerics!
Introducing RND1, the most powerful base diffusion language model (DLM) to date. RND1 (Radical Numerics Diffusion) is an experimental DLM with 30B params (3B active) with a sparse MoE architecture. We are making it open source, releasing weights, training details, and code to
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as someone who grew up as a science fair kid, this was a fun one to report. it’s good to be back :)
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What’s the deal with all these science competitions? Me for @TheScientistLLC big thanks to @genophoria @yusufroohani @abhinadduri @MartinBJensen for speaking with me! https://t.co/IRASMeG1Ps
the-scientist.com
From CASP to the Virtual Cell Challenge, researchers are leveraging science competitions and high-risk, high-reward grants to drive their fields forward.
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As graduate programs lose spots and labs face shutdowns following Trump administration cuts to science funding, students and researchers are left to figure out what's next.
wired.com
As graduate programs lose spots and labs face shutdowns following Trump administration cuts to science funding, the path to a science career for students and researchers just got a whole lot harder.
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