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!
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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!!)
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. 🧵👇
Congratulations @ganlumomo!!!
I’ll be joining @GeorgiaTech as an Assistant Professor in @GTaerospace in January 2024!! Deep thanks to my PhD advisors Ryan Eustice, Jessy Grizzle and @GhaffariMaani, my postdoc advisors Soon-Jo Chung and @yisongyue, and all my group members at @UMRobotics and @Caltech.
Congrats to our postdoc @ganlumomo 🥳🥳🥳
I’ll be joining @GeorgiaTech as an Assistant Professor in @GTaerospace in January 2024!! Deep thanks to my PhD advisors Ryan Eustice, Jessy Grizzle and @GhaffariMaani, my postdoc advisors Soon-Jo Chung and @yisongyue, and all my group members at @UMRobotics and @Caltech.
Our favorite photo from ICLR 2023! It's going to be a YueCrew kind of ICLR 2024 😍🧑💻🇦🇹 📸 PC @yeh_im_excited
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!
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
Excited for this!! 🤓
I am honored to serve as Senior PC for #ICLR2024. Looking forward to serving with @_beenkim (General Chair) and a fantastic PC cast (@YizhouSun, @swarat, @EmtiyazKhan, & Katerina Fragkiadaki). Hope to see you all in Vienna!
Really exciting work by @jxbz, @chris_mingard & others on designing hyperparameter-free optimizers for deep neural networks!
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
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…
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
phd time @berkeley_ai @jlistgarten @svlevine !! also time to start using twitter…? super excited for the next several years and genuinely so much appreciation to @yisongyue @ryan_p_adams @YueLabCaltech @denizzokt @klbouman @countability + many others who have built me up :))
GUYS the @CosyneMeeting workshop program just dropped 🥳 AND @EricMTrautmann's + my workshop "Taming Complexity: Discovering Interpretable Latent Spaces in Human Brains & Behaviors" will be on your Mont Tremblant menu🧑🍳 Too early to say #Cosyne2023? 🙊🤫 cosyne.org/workshops-prog…
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…
Go see @francescazfl's poster tomorrow at #NeurIPS!!
If you are at #NeurIPS2022 and interested in ML for bio/proteins, check out our poster “Pretrained protein language model transfer learning: is the final layer representation what we want?” @workshopmlsb tomorrow (Room 288 - 289) @avapamini @KevinKaichuang @alexijielu
We're presenting at Learning from Time Series for Health tomorrow at #NeurIPS! 11:30am - 12:30pm CST, Room 392 Organized by @MarzyehGhassemi A.Goldenberg @ImSNShukla G.Ratsch @tom_hartvigsen @sana_tonekaboni @JenJSun @bingbrunton @yisongyue and I would ♥️ if you dropped by 🤗
Go see our first 🤩 poster @NeurIPSConf tomorrow from @CameronVoloshin @HoangMinhLe @swarat @yisongyue!! 👇👇👇👇👇👇
Policy Optimization with Linear Temporal Logic Constraints arxiv.org/abs/2206.09546 Appearing at @NeurIPSConf Poster Session 1 (Tuesday 11am-1pm, Hall J #719) We provide a framework to train policies to satisfy complex tasks specifications expressed in linear temporal logic. 1/
First YueCrewer off to @NeurIPSConf 🥳 Meet all of the ones going: @JenJSun - On the job market! 👩🏫 @SaberaTalukder - brains 🧠 @LinYiheng - 🧮 @yeh_im_excited - climate 🌏 @CameronVoloshin - 🧮 Francesca-Zhoufan Li - cells 🧫 @yisongyue - the boss 💪🏽
The ☀️ rises in Los Angeles and sets in New Orleans tonight 🥳 We’re heading to #NeurIPS2022 @NeurIPSConf 🤓 poster in hand! DMs are open if you want catch a ☕️ and talk all things 🧠💻👩🏽💻
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