Yisong Yue @yisongyue
Machine Learning @Caltech (@YueLabCaltech). AI for invention at @AsariAILabs. Autonomous Driving at https://t.co/riZHAmvcAr. Senior Program Chair @iclr_conf. yisongyue.com Pasadena, CA Joined July 2009-
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📢📢📢 The application for this year's Rising Stars in EECS Workshop is now open!! The workshop will be hosted at @MITEECS on October 24-25, 2024, and is co-organized by @tesssmidt, Stefanie Mueller, @chris_deli, and myself 💜 Apply here: risingstars-eecs.mit.edu
It's a treat to hear from @denny_zhou on LLM reasoning! Find some favorite snippets from his lecture on: 🔹meta-superpowers 🦸♀️ 🔹 us all being confident idiots 🤦 🔹 in-context learning algorithms 🧑💻 🔹 where we are headed next 🚀 🙏 to @yisongyue for bringing the 🤩 speakers!
ICLR blog: blog.iclr.cc/2024/04/22/hug…
Hugging Face is hosting a demo site for @iclr_conf authors to find and claim their papers and discuss those papers on dedicated pages The page includes all accepted papers, along with linked datasets, models, and demos
Thanks for @yisongyue's host! Here are the video recording, slides and course information for (one of) the guest lectures in Caltech. To my knowledge, Yisong has this first course "LLM for reasoning" in Caltech that summarizes recent progress in this hot topic!
Thanks for @yisongyue's host! Here are the video recording, slides and course information for (one of) the guest lectures in Caltech. To my knowledge, Yisong has this first course "LLM for reasoning" in Caltech that summarizes recent progress in this hot topic!
It was wonderful having @tydsh visit Caltech and talk about his fantastic work on "Marrying Deep Models with Traditional Symbolic Decision-Making" Video: youtu.be/uxHkNeCs2PI Slides: drive.google.com/file/d/1_f0Paw… Course: sites.google.com/view/cs-159-20…
It was wonderful having @tydsh visit Caltech and talk about his fantastic work on "Marrying Deep Models with Traditional Symbolic Decision-Making" Video: youtu.be/uxHkNeCs2PI Slides: drive.google.com/file/d/1_f0Paw… Course: sites.google.com/view/cs-159-20…
A good day to give 2 guest lectures in Caltech in @yisongyue and @georgiagkioxari’s class! Shameless plugging llama3 advertisement in the introduction slides :) I hope my academia friends don’t mind :)
A good day to give 2 guest lectures in Caltech in @yisongyue and @georgiagkioxari’s class! Shameless plugging llama3 advertisement in the introduction slides :) I hope my academia friends don’t mind :)
Announcing the #ICLR2024 Invited Speakers: blog.iclr.cc/2024/04/15/ann… Kyunghyun Cho (@kchonyc) Priya Donti (@priyald17) Kate Downing (katedowninglaw.com) Raia Hadsell (@RaiaHadsell) Moritz Hardt (mrtz.org) Devi Parikh (@deviparikh) Jie Tang (@jietang)
Looking forward to giving a guest lecture on LLMs for mathematics at Caltech's CS159 LLMs for Reasoning course!
Looking forward to giving a guest lecture on LLMs for mathematics at Caltech's CS159 LLMs for Reasoning course!
Thanks for the shout out! We'll be updating the course website with materials as the term progresses, and hope others find it useful. We're also thrilled to have guest lectures by @tydsh, @denny_zhou, @KaiyuYang4!
Thanks for the shout out! We'll be updating the course website with materials as the term progresses, and hope others find it useful. We're also thrilled to have guest lectures by @tydsh, @denny_zhou, @KaiyuYang4!
CS159: LLMs for reasoning lecture slides from Caltech are really good. Link: sites.google.com/view/cs-159-20… Thank you for making them public @yisongyue and @acbuller
Registration is now open for our 5-day Simons workshop taking place in two months (June 10th-14th) in Berkeley (w @ask1729 ). AI≡Science: Strengthening the Bond Between the Sciences and Artificial Intelligence simons.berkeley.edu/workshops/aisc…
Many fun announcements about LLM agents in the last few weeks! I'll add one from our lab: Copra, a retrieval-augmented GPT-4 agent for formal theorem-proving in frameworks like Coq and Lean. Copra, developed by @AmitayushThakur in collaboration with George Tsoukalas, @YemingW,…
The US would be much stronger if it were more welcoming of talented people to come, work, and stay here. My parents were just barely able to immigrate here (bringing me with them). Had things turned out slightly differently, I would not be here today.
The US would be much stronger if it were more welcoming of talented people to come, work, and stay here. My parents were just barely able to immigrate here (bringing me with them). Had things turned out slightly differently, I would not be here today.
If this were a science paper, you would expect a country that picks its science workforce at random as a “weak baseline” and a leading nation like the US to actively experiment towards state-of-the-art, or at least beat the baseline. Not providing a guaranteed path for…
If this were a science paper, you would expect a country that picks its science workforce at random as a “weak baseline” and a leading nation like the US to actively experiment towards state-of-the-art, or at least beat the baseline. Not providing a guaranteed path for…
I wrote a tutorial on diffusion models for undergrad and grad students. I tried my best to give intuitive explanations for complicated equations. Your feedback is much appreciated Thanks to those who suggested various reading materials to me arxiv.org/abs/2403.18103
Will also cover the current wave of AI agents!
Are you at @Caltech and interested in modeling and optimizing how AI agents learn and make decisions in the economy, science, and other complex systems? Come for a talk and Q&A at @Caltech next Monday, 12 pm PT! Sign up here: caltech-csm.symplicity.com/students/?s=ev…
Worth following
A new journey begins – 🚀 we’re excited to launch! Our mission is to build AI that helps us co-invent the future. -- And we’re hiring to make this happen👇 We’re building a new type of AI agent and tools that help us imagine and create 10x better solutions, products, and…
Clément Canonne @ccanonne_
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Natasha Jaques @natashajaques
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Shane Gu @shaneguML
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273 Followers 454 Following PhD Student @pku1898, interested in Machine Learning
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950 Followers 2K Following Modelling and simulation of electrolyte solutions using quantum chemistry, stat mech and neural nets. #compchem #theochem
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311 Followers 399 Following A computer vision researcher. Associate Professor @ Seoul National University, South Korea. Affiliated vision researcher @allen_ai PRIOR. UMD Ph.D. grad. He/him
Vikram Shukla @vshukla
277 Followers 2K Following Engineering Manager @linkedin - a @microsoft company. Manages awesome @trinodb team. Past: @oracle (stream processing, middleware, RDBMS), @netapp, @ibm
Clément Canonne @ccanonne_
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44K Followers 507 Following Assistant Prof of CS @UWaterloo, Faculty @VectorInst, Canada @CIFAR_News AI Chair. Co-EiC @TmlrOrg. I lead @TheSalonML. Privacy, robustness, machine learning.
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49K Followers 408 Following Associate Professor in computer science @Stanford @StanfordHAI @StanfordCRFM @StanfordAILab @stanfordnlp | cofounder @togethercompute | Pianist
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42K Followers 334 Following Research Scientist at Google Brain / Deepmind. Interested in Bayesian Machine Learning.
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NeurIPS Conference @NeurIPSConf
112K Followers 35 Following New Orleans, Dec 10-16, 23. https://t.co/ga8aOw615g Tweets to this account are not monitored. Please send feedback to [email protected].
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26K Followers 365 Following optimization. machine learning. uc berkeley. I blog at https://t.co/fkJujOPsJb The world won't end.
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33 Followers 67 Following Assistant Professor at UW-Madison. Working on Machine Learning, Statistical Inference and Crowdsourcing.
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658 Followers 37 Following ‘Tell Them Not to Look for Me' out now 🌙🔗↘️
Aakanksha Chowdhery @achowdhery
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Conference on Languag.. @COLM_conf
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Cecilia Ziniti @CeciliaZin
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Pan Lu @lupantech
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431 Followers 307 Following PhD student at @MIT_CSAIL. Neurosymbolic AI, synthesis, reasoning, etc. @InfAtEd '21. He/him. 🇸🇪 》🏴 》🇺🇸
Kishan @kpb_in_acad
343 Followers 635 Following ಕನ್ನಡಿಗ #AI #RL Postdoc at #Caltech! Tweets aren't professional. Previous: @tamu @MSFTResearch @qualcomm_in Note: I often delete my tweets - insecurities!
Pascale Fung @pascalefung
2K Followers 45 Following Chair Professor of ECE, Director of the Centre for AI Research (CAiRE), Hong Kong University of Science & Technology. Fellow of AAAI, ACL, IEEE, ISCA.
Anna Huang @huangcza
5K Followers 1K Following Faculty @MIT starting Fall 2024, Research Sc.@GoogleDeepMind #magenta, Canada CIFAR AI Chair @Mila_Quebec. Prev. ML,HCI,music composition @Harvard,@medialab,USC
Yue Wang @yuewang314
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Giorgia Ramponi @gio_ramponi
2K Followers 170 Following Assistant professor at @UZH_en - prev. @ETH_AI_Center - @Google 🌼 Working on RL, multi-agent, imitation learning, and other sequential decision-making stuff📢📢📢 The application for this year's Rising Stars in EECS Workshop is now open!! The workshop will be hosted at @MITEECS on October 24-25, 2024, and is co-organized by @tesssmidt, Stefanie Mueller, @chris_deli, and myself 💜 Apply here: risingstars-eecs.mit.edu
It's a treat to hear from @denny_zhou on LLM reasoning! Find some favorite snippets from his lecture on: 🔹meta-superpowers 🦸♀️ 🔹 us all being confident idiots 🤦 🔹 in-context learning algorithms 🧑💻 🔹 where we are headed next 🚀 🙏 to @yisongyue for bringing the 🤩 speakers!
Hugging Face is hosting a demo site for @iclr_conf authors to find and claim their papers and discuss those papers on dedicated pages The page includes all accepted papers, along with linked datasets, models, and demos
@yisongyue @deliprao Totally agree, this is the limitation of human beings and our living scale, we have to “see” things out of “our scale” through instruments such that we need to solve the inverse problem to know the answer.
@yisongyue @deliprao In molecular dynamics, people have different needs of sampling independently vs sampling the dynamics.
@yisongyue @deliprao The philosophical question is does generative model necessarily learn the “physics” or the “data generating process” which depends on how we define it. Solving the inverse problem in CryoEM is clearly different from solving Mass Spectrometry.
@yisongyue "wall might take a long time to write" ==> great time to PhDs now with folks like you! 😀
Thanks for @yisongyue's host! Here are the video recording, slides and course information for (one of) the guest lectures in Caltech. To my knowledge, Yisong has this first course "LLM for reasoning" in Caltech that summarizes recent progress in this hot topic!
It was wonderful having @tydsh visit Caltech and talk about his fantastic work on "Marrying Deep Models with Traditional Symbolic Decision-Making" Video: youtu.be/uxHkNeCs2PI Slides: drive.google.com/file/d/1_f0Paw… Course: sites.google.com/view/cs-159-20…
A good day to give 2 guest lectures in Caltech in @yisongyue and @georgiagkioxari’s class! Shameless plugging llama3 advertisement in the introduction slides :) I hope my academia friends don’t mind :)
Thanks for the shout out! We'll be updating the course website with materials as the term progresses, and hope others find it useful. We're also thrilled to have guest lectures by @tydsh, @denny_zhou, @KaiyuYang4!
When I'm promoted to "full professor" I'll get a headshot like @kchonyc's
Announcing the #ICLR2024 Invited Speakers: blog.iclr.cc/2024/04/15/ann… Kyunghyun Cho (@kchonyc) Priya Donti (@priyald17) Kate Downing (katedowninglaw.com) Raia Hadsell (@RaiaHadsell) Moritz Hardt (mrtz.org) Devi Parikh (@deviparikh) Jie Tang (@jietang)
Announcing the #ICLR2024 Invited Speakers: blog.iclr.cc/2024/04/15/ann… Kyunghyun Cho (@kchonyc) Priya Donti (@priyald17) Kate Downing (katedowninglaw.com) Raia Hadsell (@RaiaHadsell) Moritz Hardt (mrtz.org) Devi Parikh (@deviparikh) Jie Tang (@jietang)
Looking forward to giving a guest lecture on LLMs for mathematics at Caltech's CS159 LLMs for Reasoning course!
Thanks for the shout out! We'll be updating the course website with materials as the term progresses, and hope others find it useful. We're also thrilled to have guest lectures by @tydsh, @denny_zhou, @KaiyuYang4!
CS159: LLMs for reasoning lecture slides from Caltech are really good. Link: sites.google.com/view/cs-159-20… Thank you for making them public @yisongyue and @acbuller
Registration is now open for our 5-day Simons workshop taking place in two months (June 10th-14th) in Berkeley (w @ask1729 ). AI≡Science: Strengthening the Bond Between the Sciences and Artificial Intelligence simons.berkeley.edu/workshops/aisc…
Time machine: my friend @IritDinur and me & our partners Dana and Hadar, time of postdoc/phd @ Princeton. This is when we had enough complexity theory. Irit was about to invent differential privacy (w. Kobbi Nissim), and I was working on Online Convex Optimization (w.…
Happy to announce that I am promoted to full professor. Big shout out to my former and current students without whom this would never be possible. purdue.edu/newsroom/purdu…
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