Yue Lab Caltech

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Yue Lab Caltech

Yue Lab Caltech

@YueLabCaltech

We're the Yue Lab at @Caltech with PI @yisongyue! We work on #MachineLearning for science and engineering applications 🤖 🧠 💻 Tweets by students & postdocs!

Caltech 가입일 Ekim 2020
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Yue Lab Caltech 리트윗함
Sabera Talukder, Ph.D.
Sabera Talukder, Ph.D.@SaberaTalukder·
Tokenization (aka the root of suffering, iykyk) has gotten a terrible rap this past week😅 but in nascent fields this rap is wack🌶️ I am ecstatic to share➡️TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis TOTEM learns discrete time tokens (not patches!!)
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Yujia Huang
Yujia Huang@YujiaHuangC·
Excited to share our work on symbolic music generation: arxiv.org/abs/2402.14285! We introduce a symbolic music generator with non-differentiable rule guided diffusion models, enabling musicians to effectively use it as a compositional tool. Website: scg-rule-guided-music.github.io. 🧵👇
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Yue Lab Caltech
Yue Lab Caltech@YueLabCaltech·
Our favorite photo from ICLR 2023! It's going to be a YueCrew kind of ICLR 2024 😍🧑‍💻🇦🇹 📸 PC @yeh_im_excited
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Yue Lab Caltech
Yue Lab Caltech@YueLabCaltech·
Today's lab meeting reminder 😂 Coming to you live from Pasadena, it's Friday Night Live with your hosts @SaberaTalukder & @vdorbs. In tonight's top story @yeh_im_excited returns from Rwanda with the latest ICLR tidbits 👀 What ML news hides in plain sight? Tune in to find out!
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Jennifer J. Sun
Jennifer J. Sun@JenJSun·
All animals behave in 3D - we discover 3D poses directly from multi-view videos without requiring annotations. Essentially videos -> 3D keypoints + connections We will be @CVPR on June 21! BKinD-3D Paper: arxiv.org/abs/2212.07401 Co-first-authors Lili Karashchuk & @_AmilDravid
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Yue Lab Caltech 리트윗함
Yisong Yue
Yisong Yue@yisongyue·
Conformal Generative Modeling on Triangulated Surfaces A general framework that can reliably train probability distributions on a wide range of complicated manifolds. 1st Author: @vdorbs Project: vdorbs.github.io/conformal-gene…
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Yue Lab Caltech 리트윗함
Jeremy Bernstein
Jeremy Bernstein@jxbz·
We are thrilled to announce "automatic gradient descent"---a neural network optimiser without hyperparameters. AGD trains out-of-the-box and at ImageNet scale. paper: arxiv.org/abs/2304.05187 PyTorch: github.com/jxbz/agd 1/5
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Sabera Talukder, Ph.D.
Sabera Talukder, Ph.D.@SaberaTalukder·
NeurIPS officially ended yesterday 😭 and it was 🔥 both in person and virtually! I enjoyed seeing old faces and meeting so many new ones ♥️ I put together some topics + papers that piqued my interest and maybe they'll pique yours too🤗 saberatalukder.com/neurips_2022.h…
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