We're the Yue Lab at @Caltech with PI @yisongyue! We work on #MachineLearning for science and engineering applications 🤖 🧠 💻 Tweets by students & postdocs!
Caltech
Joined October 2020
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Yue Lab Caltech retweeted
A simple thought experiment: What if we stop trying to cram intelligence into agents, and instead externalize it into a shared knowledge base?
Introducing Knowledge-centric Self-Improvement (KSI).
TL;DR: We show that a remarkably simple knowledge curation mechanism pushes the Pareto frontier of self-improvement agents, outperforming SOTA agent-centric approaches (e.g., harness or prompt optimization) across reasoning, coding, and terminal benchmarks at a fraction of the cost.👇
Yue Lab Caltech retweeted
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!!)
Yue Lab Caltech retweeted
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…. 🧵👇
Yue Lab Caltech retweeted
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.
Yue Lab Caltech retweeted
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
Yue Lab Caltech retweeted
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
Yue Lab Caltech retweeted
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-g…
Yue Lab Caltech retweeted
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
Yue Lab Caltech retweeted
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 :))
Yue Lab Caltech retweeted
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-program…
Yue Lab Caltech retweeted
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_2…
Yue Lab Caltech retweeted
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 🤗
Yue Lab Caltech retweeted
Good morning #SfN2022 Day 1 🧠 @SfNtweets @SfN_Events
I’ll be dutifully keeping you informed on the hottest 🔥 neuroscience and computation happening this week so stay tuned 😉
I’m also presenting today from 1-5 at 088.09 at the Comp Tools for Ephys Session so come say hello 😘
Yue Lab Caltech retweeted
I'm so excited to share my PhD thesis publicly. It's 88 pages long, I wrote it from scratch, and I tried to create a useful document for anyone wanting to gain a rigorous but unfussy understanding of the mathematics of deep learning.
It's here: arxiv.org/abs/2210.10101
(1/7)
Yue Lab Caltech retweeted
Shit literally works out-of-the-box on novel science experiments, and the methods are quite innovative (including best student paper at CVPR). If you want some of that in your EE/CS department, you should consider hiring @JenJSun.
Yue Lab Caltech retweeted
Excited to be part of the #NeurIPS2022 tutorial on Neurosymbolic Programming!
Hope to see everyone there on 12/5😊
See more details below:
I'm delighted to announce our virtual tutorial on Neurosymbolic Programming at #NeurIPS2022!
* 12/5; 10 am Chicago time
sites.google.com/view/nsptut…
* Speakers: Armando Solar-Lezama, @jjsun, me
* Panel: @Antihebbiann, @pushmeet, @SriramRajamani, @InalaJeevana, @yisongyue (moderator)
Yue Lab Caltech retweeted
Literally approved @jxbz's thesis with a click on my phone.
Yue Lab Caltech retweeted
Thrilled to announce that I received @Caltech's Merkin Institute for Translational Research Spark Grant!!
The Merkin support will greatly advance our research on day-generalizable & participant-generalizable brain machine interfaces 🥳🧠🤓
#Neuroengineering #MachineLearning