yingzhen @liyzhen2
teaching machines 🤖 to learn 🔍 and fantasise 🪄 now @ImperialCollege @ICComputing ex @MSFTResearch @CambridgeMLG currently helping @aistats_conf yingzhenli.net Joined April 2012-
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Our Proceedings are out! 🎉 Thanks, @JavierBurroni and @lawrennd🙏! Find them here 👉proceedings.mlr.press/v238/. (Any fixes needed can be submitted by pull request.) Impressed by our papers? Join us in Valencia for more! @StephanMandt @liyzhen2 @gavinkerrigan @thjashin
🚨The #AABI2024 Fast-track submission portal is now open to papers previously accepted at ICLR, ICML, UAI, AISTATS, JMLR and TMLR, all in 2024! It is a great opportunity share recent work with other experts in Bayesian Inference. Submission Link: docs.google.com/forms/d/e/1FAI…
We enjoyed so much our invited talk on identifiability of Switching Dynamical Systems by @BalsellsRodas at @isp_uv_es @ai_elise @ELLISforEurope arxiv.org/abs/2305.15925
I guess *temporal* compression is also key for Sora. The latent code seq could be much shorter than the actual video, and the compression can be quite efficient with eg key frame methods. If true then it’s not unimaginable for eg Runway/Pika to catch up
I guess *temporal* compression is also key for Sora. The latent code seq could be much shorter than the actual video, and the compression can be quite efficient with eg key frame methods. If true then it’s not unimaginable for eg Runway/Pika to catch up
Great news for all Bayesians: AABI is back this year, co-located with ICML in Vienna! Our CfP is out and the paper submission deadline is March 29th: approximateinference.org/call/index.html This year, we'll have a non-archival track for short papers and a PMLR proceedings track for long ones!
UK gov is still investing in probabilistic AI 🥹🤩❤️
The Bayes camp is again under attack from frequentists 🥲 (Just kidding🤣we are open minded ❤️
more than excited to congratulate @harrisonzhu5080 for passing his PhD viva 🎉🎉🎉 soon to be a doctor in Math! thanks a million to the examiners @samikaski and Kolyan Ray 🙏🙏🙏
We know it’s the quiet AI revolution, but we want to make some noise for our very own Professor Rich Turner’s talk on how machine learning is disrupting weather forecasting. youtube.com/watch?v=JGn18W…
We are inviting more Postdoc/PhD applications on the project of "Trustworthy MRI Reconstruction with Uncertainty Modelling" at Imperial College. The project will be jointly supervised and collaborated with @liyzhen2 and @GlockerBen. Deadline: 10 Jan 2024. imperial.ac.uk/jobs/descripti…
Townhall will be midnight my time, but I hope someone can ask the #NeurIPS board when the conf will be held outside of North America again. If the board insists on North America venues then it’s hard for GC/PC to push on. RT if you have the same question
Townhall will be midnight my time, but I hope someone can ask the #NeurIPS board when the conf will be held outside of North America again. If the board insists on North America venues then it’s hard for GC/PC to push on. RT if you have the same question
Come and chat at #527 this afternoon if you’re interested in energy-based models and generative modelling
Come and chat at #527 this afternoon if you’re interested in energy-based models and generative modelling https://t.co/M0rLX9XYh7
Dear #AISTATS reviewers and ACs, amidst the buzz of #NeurIPS2023, let's not forget our commitment to paper #discussions and thorough review of author feedback this week. The deadline for updated reviews/scores is Friday!
Not going to the winter party conf #NeurIPS2023 🥲 but still remember a parody start-up launch party in 2016 conf: medium.com/the-mission/ro… I bet the hype is even higher now - Would “Temporally Recurrent Optimal Learning” be live again given the recent RNN fight backs 😂
Call for participation: AABI 2024 #AABI2024 #bayesian #ML docs.google.com/forms/d/e/1FAI…
Indeed big thank you 🙏 to the keen services of our reviewers, ACs and Senior ACs for #AISTATS2024
Indeed big thank you 🙏 to the keen services of our reviewers, ACs and Senior ACs for #AISTATS2024
I've almost given up for attending ML confs in the US 🙃 My PhD student Zijing @JzinOu applied US visa last year to attend *this year's** winter party conf 😅
I've almost given up for attending ML confs in the US 🙃 My PhD student Zijing @JzinOu applied US visa last year to attend *this year's** winter party conf 😅
while ♥️ to the great people in the epic event and happy for the final outcome -- 🙏 please don't forget to submit reviews to #AISTATS2024 and respond to author feedback at #ICLR2024 ~10k submissions = ~10k of 🥺 grad students
While as many of us are running out of🍿 and 🍉 And with ❤️ to the great people at the epic center of the event - 🙏 Please don’t forget to submit your reviews to #AISTATS2024 and answer author replies at #ICLR2024
I have the pleasure of serving as the Sponsorship Chair for AISTATS24 @aistats_conf this time around aistats.org/aistats2024/in… . We are looking for sponsors to support this historic AI/ML conference that is taking place in beautiful Valencia, Spain next year. Please consider…
I have the pleasure of serving as the Sponsorship Chair for AISTATS24 @aistats_conf this time around aistats.org/aistats2024/in… . We are looking for sponsors to support this historic AI/ML conference that is taking place in beautiful Valencia, Spain next year. Please consider…
Kevin Patrick Murphy @sirbayes
42K Followers 334 Following Research Scientist at Google Brain / Deepmind. Interested in Bayesian Machine Learning.Jim Fan @DrJimFan
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9K Followers 5K Following Past: 🧑🎓 DPhil @AIMS_oxford @ExeterCollegeOx @UniofOxford (4.5yr) 🧙♂️ RE @DeepMind (1yr) 📺 SWE @Google (3yrs) 🎓 @TU_Muenchen 👤 Fellow @nwspkJiaxin Shi @thjashin
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111K 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].Jiaxin Shi @thjashin
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186K Followers 877 Following Cofounded and lead @PyTorch at Meta. Also dabble in robotics at NYU. AI is delicious when it is accessible and open-source.Sergey Levine @svlevine
79K Followers 122 Following Associate Professor at UC Berkeley Co-founder, Physical IntelligenceZoubin Ghahramani @ZoubinGhahrama1
24K Followers 615 Following VP Research, Google DeepMind, ex-head of Google Brain. Professor at University of Cambridge. Machine Learning Researcher. ex-Chief Scientist & VP of AI, Uber.Dustin Tran @dustinvtran
40K Followers 648 Following Research Scientist at Google DeepMind. I lead evaluation at Gemini / Bard. AI, Bayesian statistics, deep learning.Stat.ML Papers @StatMLPapers
20K Followers 0 Following Unofficial updates of statistical machine learning papers on arXivShane Gu @shaneguML
28K Followers 1K Following Research Scientist & Manager @GoogleDeepMind Tokyo/MTV. ex: @GoogleAI Brain, @OpenAI. (JP: @shanegJP)Ben Poole @poolio
17K Followers 1K Following research scientist at google brain. phd in neural nonsense from stanford.Edward Grefenstette @egrefen
36K Followers 774 Following FR/US/GB AI/ML Person, Director of Research at @GoogleDeepMind, Honorary Professor at @UCL_DARK, @ELLISforEurope Fellow. All posts are personal.Oriol Vinyals @OriolVinyalsML
166K Followers 82 Following VP of Research & Deep Learning Lead, Google DeepMind. Gemini co-lead. Past: AlphaStar, AlphaFold, AlphaCode, WaveNet, seq2seq, distillation, TF.Jose Miguel Hernánde.. @jmhernandez233
4K Followers 115 Following Professor of Machine Learning, University of Cambridge, UK.Thomas G. Dietterich @tdietterich
50K Followers 505 Following Distinguished Professor (Emeritus), Oregon State Univ.; Former President, Assoc. for the Adv. of Artificial Intelligence; Robust AI & Comput. SustainabilityStephan Mandt @StephanMandt
2K Followers 556 Following ML Professor @UCIrvine, previously @blei_lab, @Princeton. #GenerativeAI, #Compression, #AI4Science. Program Chair @aistats_conf 2024; General Chair AISTATS 2025Emtiyaz Khan @EmtiyazKhan
11K Followers 234 Following Team leader at @RIKEN_AIP_EN. Opinions my own. Follow me at https://t.co/jXDOS1HKXEChen Qin @Chen_Qin_ICL
201 Followers 104 Following Lecturer, Department of Electrical and Electronic Engineering & I-X, Imperial College LondonAlexander Pondaven @alexpondaven
17 Followers 106 Following AI PhD student in AIMS CDT at Oxford 3D generative models and computer visionRobin Rombach @robrombach
6K Followers 397 Following Generative enthusiast and long-term PhD Student @LMU_Muenchen. Author of VQGAN, Latent Diffusion, Stable Diffusion.Matthew Wicker @matthew_wicker
492 Followers 463 Following I study formal guarantees of trustworthiness for ML/AI. Assistant Professor (Lecturer) at Imperial College & ML Researcher @ Alan Turing Inst.Bernhard Kainz @BernhardKainz1
2K Followers 534 Following 2xDad, DL practitioner, real-time computing fanatic, Prof. at AIBE, FAU Erlangen, Reader at DoC, Imperial College London, advisor at ThinkSono, former chefRuth Misener @RuthMisener
2K Followers 583 Following Professor, Computational Optimisation Group (@CogImperial), Department of Computing (@ICComputing), @imperialcollegeCarles Balsells Rodas @BalsellsRodas
19 Followers 36 FollowingML Safety Daily @topofmlsafety
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56 Followers 65 Following Machine Learning Researcher @MSFTResearch. PhD @Cambridge_UniKun Zhang-in pursuit .. @kunkzhang
649 Followers 48 Following Associate professor at CMU (on leave) and MBZUAI. In pursuit of the Causality world with Machine Learning. CLeaR group at CMU; CIAI center at MBZUAI.Princeton AI Club @PrincetonAIClub
1K Followers 91 Following Follow us to stay up-to-date on AI @Princeton. We are students, postdocs, & faculty at Princeton University who are excited about AI. #PrincetonAIClub #PAICPriya L. Donti @priyald17
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542 Followers 270 Following Assistant Professor @PurdueCS | PhD @Cornell | Probabilistic machine learning, Bayesian deep learning, Sampling, MCMCMichael Huth @mrahuth
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76K Followers 187 Following Student of causal inference, human reasoning, and history of ideas, all viewed through the sharp lens of artificial intelligence.Harrison Zhu @harrisonzhu5080
535 Followers 1K Following Interested in machine learning. PhD Student @StatMLIO @imperialcollege | Former @Amazon Intern | Affiliated Student @CervestEarth | Views are my ownTCS+ @TCS_plus
3K Followers 32 Following An online seminar series in theoretical computer science. Carbon-free dissemination of ideas across the globe.math.ST Statistics Th.. @arXiv_math_ST
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18K Followers 1 Following Keep up with the latest machine learning datasets from @paperswithcode. Follow for daily updates.NeurIPS Approximate I.. @bdl_competition
240 Followers 179 Following Official account for NeurIPS 2021 competition on approximate inference in Bayesian deep learning.The Alan Turing Insti.. @turinginst
57K Followers 2K Following We are The Alan Turing Institute, the UK’s national institute for data science and artificial intelligence.Statistics Papers @StatsPapers
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35K Followers 1K Following The Royal Statistical Society is a membership body promoting a world with data at the heart of understanding and decision makingHua Chunying 华春�.. @SpokespersonCHN
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462K Followers 701 Following 猫絵師🐈【4コマ】サメにゃんは3日に1度更新(したい)【常設店】もふもふストア▶︎ https://t.co/qKpEc85wLEDawen Liang @dawen_liang
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6K Followers 319 Following Founded in 1964, Darwin was the first postgraduate College at Cambridge. We are home to students from 75 different countries, in the heart of the city.Lego Grad Student @legogradstudent
87K Followers 42 Following A hollow head struggling to make it through a blocky world.I am thrilled to be joining @czi and leading our AI strategy to determine how we utilize one of the world’s largest computing systems dedicated to nonprofit AI for life science research. We are assembling a world class research team for generative AI x Science to build large…
Exciting AI news! 📌 @Tkaraletsos join @cziscience as Head of AI 📌 We're forming an AI Advisory Group with academic + industry leaders 📌 We're launching an AI residency program More on how we're leveraging AI to accelerate science ⬇️ czi.co/49OsC72
@MLStreetTalk There is no inconsistency between those two segments. In fact, I'm pretty much making the same point. There are 4 models of computation: 1. y=f(x) where f has a fixed number of sequential non-linear steps 2. z(k+1)=g(z(k),x); y=f(z(K)) where K is in principle unbounded 3. ž =…
We're excited to share our 2023 Annual Report! Take a look at our progress last year, and some initiatives we have planned for the year to come! docs.google.com/document/d/13m…
Sora from OpenAI and Gemini 1.5 from Google are both super impressive. Both rely on long context transformers. I think the lesson is that semi parametric models are great - condition on all past data, whether real or self generated, just like a good Bayesian :)
Have you ever done a dense grid search over neural network hyperparameters? Like a *really dense* grid search? It looks like this (!!). Blueish colors correspond to hyperparameters for which training converges, redish colors to hyperparameters for which training diverges.
🦾Join Manchester’s @ELLISforEurope unit on 14 Feb for a seminar on ‘Calibrating transformers via sparse Gaussian processes' with @liyzhen2 & Wenlong Chen from @imperialcollege! 🔎Find out more: events.manchester.ac.uk/event/event:h2… @FBMH_UoM @UoMSciEng @uomhums
I was a very proud PhD supervisor today, as Shikun Liu (@liu_shikun) triumphantly passed his PhD viva! 😀🎉🥂 "Converging Pathways: Structured Visual Representations with Multi-Task Learning" You can read about what he's been up to here: shikun.io/projects.
1/ Today in Science, we train a neural net from scratch through the eyes and ears of one child. The model learns to map words to visual referents, showing how grounded language learning from just one child's perspective is possible with today's AI tools. science.org/doi/10.1126/sc…
We are delighted to announce an ACM-TOPML special issue on "Probabilistic Programming". Please see the attached call for papers for details
I have noticed that the “review process” is very similar to mcmc: the further away from the current state you propose the less likely it is to be accepted”.
thanks for organising @aistats_conf @StephanMandt and @liyzhen2 so far very smooth!
📢🔥 My team at NVIDIA Research is looking for full-time research scientists & summer interns. Topics of interest are: 1⃣Gen AI for science (climate, biology, chemistry) 2⃣Image/Video/3D (generate, edit, manipulate) 3⃣Fundamental generative learning Apply via links below
today I learned that there’s a literal GPU church with 4k H100s in Barcelona h/t @tugot17
Interested in helping to organize @NeurIPSConf 2024? Let us know here: docs.google.com/forms/u/1/d/e/…
🌟Thrilled to share that I have been awarded 'Teacher of the Year 2023' by @CSAalto . Also big thanks to all students on my courses 'Introduction to AI' & 'Gaussian Processes'. 🌟
Did you know that the training/test set split of the SVHN data set is biased, making SVHN unsuitable for evaluating generative models? Learn more from my students @TimZXiao and @johanneszenn at the DistShift workshop at #NeurIPS2023 tomorrow (10.30 am, room R06-R09).
🚨The training and test set of the Street View House Numbers (SVHN) dataset are NOT from the same distribution!🚨 Join us at the #NeurIPS2023 workshop on DistShift this Friday (10:30 am, room R06-R09) to find out more! arxiv.org/abs/2312.02168 w/ @johanneszenn @robamler
While watching Chris Re discuss long convs and their original motivation to solve sequential CIFAR (great talk!), it's important to note that long convs have been shown to be unnecessary. The most effective architecture for this task now use small-kernel convs #MultiresConv
How to design a next-gen convolutional sequence model? Use wavelet theory! Meet #MultiresConv: strong performance, yet extremely simple to implement--15 lines of code with standard conv/linear operations, NO specialized init, complex numbers, or FFT! github.com/thjashin/multi…
Discrete sampling can be much faster now! Our benchmark offers a convenient interface to use and evaluate advanced sampling techniques. It includes diverse applications like energy-based models, language models, graphical models, and combinatorial optimization. Explore more👇
🎲 While we are used to sample the next token from autoregressive LMs, the same model can be decoded differently (e.g., fill in the middle) if we use fancier sampling methods ---- Introducing Discs (github.com/google-researc…), a package for discrete sampling #NeurIPS2023 🧵1/5