Arthur Gretton @ArthurGretton
Professor in Machine Learning, Gatsby Computational Neuroscience Unit Research Scientist, Google DeepMind @[email protected] gatsby.ucl.ac.uk/~gretton/ London, England Joined September 2009-
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📢 We are back! 🎇 Following the success of our Robust ML Workshop in 2023, we are organising not one, but two workshops this year: ELLIS Robust ML Workshop 2024: June 27-28, Helsinki 🇫🇮 ELLIS Robust LLMs Workshop 2024: July 29-30, Oxford 🇬🇧
Excited to announce the 2nd Analytical Connectionism summer school! How can we mathematically understand neural network models of higher level cognition? Where: @FlatironCCN, New York When: Aug 12-23, 2024 Info: events.simonsfoundation.org/event/e070287e… Apply by May 17, travel awards available!
Thrilled to unveil our #AISTATS 2024 Keynote speakers: Stefanie Jegelka (TUM), Matt Hoffman (Google), and Aaditya Ramdas (CMU). Don't miss the chance to join us in Valencia! 🌴🎓🌊
It has been a wonderful workshop! Thank you, friends old and new! Come back to Bristol soon! Safe journey home!
📢 #AISTATS2024 is offering selected free registrations for eligible PhD students, postdocs, and others facing financial barriers to attend the conference. Apply by Friday, April 5: docs.google.com/forms/d/e/1FAI…
Proxy methods: not just for causal effect estimation! #aistats24 Adapt to domain shifts in an unobserved latent, with either -concept variables -multiple training domains arxiv.org/abs/2403.07442 Tsai @stephenpfohl @walesalaudeen96 @nicole_chiou Kusner @alexdamour @sanmikoyejo
Learning to act in noisy contexts using deep proxy learning Slides from the Tandon lecture (NYU March 11) now online! gatsby.ucl.ac.uk/~gretton/paper… Covers: arxiv.org/abs/2105.04544 arxiv.org/abs/2106.03907
Thank you! I've put the lectures online: Slides 1 (observed context): gatsby.ucl.ac.uk/~gretton/paper… Slides 2 (hidden context, IV and proxy): gatsby.ucl.ac.uk/~gretton/paper…
Thank you! I've put the lectures online: Slides 1 (observed context): gatsby.ucl.ac.uk/~gretton/paper… Slides 2 (hidden context, IV and proxy): gatsby.ucl.ac.uk/~gretton/paper…
Just tried the new LLM from Ikea. Turns out it's shelf-aware.
"Learning to act in noisy contexts using deep proxy learning" Talk on March 11 at NYU 🏙️: engineering.nyu.edu/events/2024/03… Based on papers: arxiv.org/abs/2105.04544 arxiv.org/abs/2106.03907 Looking forward to it!
🚀 Excited to share MLXP 1.0.0 🧠💻 🔍 MLXP makes managing multiple ML experiments painless, from launching to exploring results. 👏 Huge thanks to my coauthor, @azouaoui_cv, for his invaluable contributions to MLXP. It's been a great journey! GitHub: github.com/inria-thoth/ml…
Introducing the distributional successor measure: a successor representation that maintains a distribution over future state occupancies. Use it to evaluate the distribution of returns of any policy, no retraining required!
Introducing the distributional successor measure: a successor representation that maintains a distribution over future state occupancies. Use it to evaluate the distribution of returns of any policy, no retraining required!
Testing for conditional independence is notoriously difficult. Here's o̶n̶e̶ three weird tricks to: 👾 make testing work better on limited data, 👾 get correct false positive rates arxiv.org/abs/2402.13196 @rmnpogodin,@AntoninSchrab,@yazhe_li,@d_j_sutherland
When metalearning, overfit on your training tasks to learn fast on your test domain! Here's why: arxiv.org/abs/2307.10870 @DimitriMeunier1 @lzy_michael Samory Kpotufe
📢 Apply now for the 7-week #Mathematics #SummerSchool! You will develop mathematics skills/intuition necessary to enter the #TheoreticalNeuroscience or #MachineLearning field & have the opportunity to interact with our researchers. Where: @SWC_Neuro ℹ️ ucl.ac.uk/gatsby/study-a…
people of London: i'll be giving a talk about this paper next monday (01/15) at UCL. details: "1.30pm in the Ground Floor Seminar Room of 25 Howland Street, London, W1T 4JG" come say hi!
people of London: i'll be giving a talk about this paper next monday (01/15) at UCL. details: "1.30pm in the Ground Floor Seminar Room of 25 Howland Street, London, W1T 4JG" come say hi!
First post of 2024 - design a kernel Stein discrepancy to characterize q-Wasserstein convergence!
First post of 2024 - design a kernel Stein discrepancy to characterize q-Wasserstein convergence!
Interested in helping to organize @NeurIPSConf 2024? Let us know here: docs.google.com/forms/u/1/d/e/…
Looking forward to this!
Looking forward to this!
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NeurIPS Conference @NeurIPSConf
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].
Sam Power @sp_monte_carlo
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Kempner Institute at .. @KempnerInst
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Chan Zuckerberg Initi.. @ChanZuckerberg
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252 Followers 779 Following Ph.D. student at @ICMEStanford; B.S. in Math (PMA) & Data Science (CMS) @Caltech'22; Applied and Computational Math/Statistics/Optimization
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638 Followers 308 Following PhD student @Mila_Quebec / @McGillU. Student Researcher @GoogleDeepMind.
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AK @_akhaliq
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Furong Huang @furongh
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79 Followers 141 Following PhD Student in Computer Science at The University of Illinois at Urbana-Champaign. Causality and Machine Learning. Opinions are my own.
Gintare Karolina Dziu.. @gkdziugaite
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Delip Rao e/σ @deliprao
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Jack Parker-Holder @jparkerholder
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Yuge Shi (Jimmy) @YugeTen
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Alan Karthikesalingam @alan_karthi
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Stephanie Chan @scychan_brains
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Subbarao Kambhampati .. @rao2z
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Gary Marcus @GaryMarcus
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Lenka Zdeborova @zdeborova
13K Followers 421 Following Professor at EPFL. Une mathémaphysinformaticienne. Passionate mushroom hunter. Tamer of two little dragons.
Zhimei Ren @RenZhimei
816 Followers 268 Following Assistant professor @Wharton stats. Former postdoc @UChicago & PhD from @Stanford.
UKRI CDT in Foundatio.. @FAICDT1
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ELSA - European Light.. @elsa_lighthouse
315 Followers 74 Following ELSA is a virtual european center of excellence that will spearhead efforts in foundational safe and secure artificial intelligence (AI) methodology research.
Agostina Palmigiano @APalmigiano
665 Followers 501 Following Lecturer at @GatsbyUCL, former @cu_neurotheory Looking for postdocs! Apply here: https://t.co/y37qSSfkWs
Sebastian Raschka @rasbt
267K Followers 906 Following Machine learning & AI researcher writing at https://t.co/A0tXWzG1p5. LLM research engineer @LightningAI. Previously stats professor at UW-Madison.
Matt Davies @halcyene
1K Followers 2K Following AI policy @AdaLovelaceInst & former @UKLabour advisor. Trustee @elop_lgbt. Views my own 🏳️🌈🏳️⚧️✨
Ying Jin @YingJin531
708 Followers 248 Following PhD student @ Stanford stats. uncertainty quantification, causal inference, multiple testing, replicability.
Susan Murphy lab @SusanMurphylab1
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Caglar Gulcehre @caglarml
4K Followers 1K Following ML Researcher Prof @ EPFL, PI @ CLAIRE lab Ex: Staff Research Scientist @ Deepmind, MSR, IBM Research Follow me on Mastodon: https://t.co/LZ5sWt7Asj
What if a generalised posterior / Gibbs measure uses a loss that need to be estimated? This happens often, e.g. for posteriors based on the MMD, beta-divergences, & estimated likelihoods. Me, @dtfraz, & @chris_drovandi answer this in a new paper: arxiv.org/abs/2404.15649
Michael Jordan giving a talk at KAUST on a good topic 😉
We often hear about the theory-practice gap. At this workshop we will take a thorough look at this. Is there a gap? What is the nature of the gap? Who made it? Is it good to have the gap? If not, how to close it? I think this is super important for the healthiness of the field!
🧵 Thrilled to announce the #ICML RL workshop 'Aligning RL Experimentalists and Theorists'! We will have several talks and a panel delivered by a super lineup of speakers: @white_martha, @ShamKakade6, @yayitsamyzhang, Dylan Foster, Niao He, @svlevine, and @MengdiWang10. 1/3
Agency (and planning) can't be a wart on top of Auto-Regressive LLMs. It must be an intrinsic property of the architecture.
@mgubrud @ValdeDarth @ChombaBupe @rao2z I think we need to move beyond the "sequence" mind set. Have you looked at @ylecun's JEPA architecture? It starts with agency rather than language. One thing I don't know how to do in deep architectures is meta-cognition.
@intrinsic_motiv This here is a free full-text access link: rdcu.be/dFb9K
I've worked tirelessly on cracking this problem with generations of students. It’s an extremely challenging area of ML and seeing it come closer to clinical use, where it will empower clinicians & patients alike, is very satisfying: nature.com/articles/s4159… #AI #PatientEmpowerment
One of the greatest minds of our times has died. This is a huge blow to the fields of philosophy, morality, consciousness and intelligence. I adored his teachings even though sometimes it took me years to get them. His ideas will live on. @danieldennett
We started releasing the first chapters of our Geometric Deep Learning book and the accompanying slides from the corresponding Oxford and Cambridge courses.
After 3 years, it's time for us to start sharing the chapters of the GDL book! ❤️ Also included: companion slides from our @Cambridge_Uni & @UniofOxford courses 🧑🎓 Chapter 1 is out **now**! More to follow soon 🎉 geometricdeeplearning.com/book 📖 @mmbronstein @joanbruna @TacoCohen
RIP Daniel Dennett, my first contact with a great living philosopher during freshman yr at Tufts, & the source of endless late night conversations about brains in vats. Dennett was a brilliant philosopher of mind, an engaging public intellectual, & such a fucking great writer ❤️
🤯📽️🏃Annoucning controllable video generation workshop at ICML2024! Super excited for speaker line up, and looking forward to seeing submissions exploring controllability in video generation. Submission deadline is 31st May AOE (but why wait till then if you can submit now?!)
We are pleased to announce the first *controllable video generation* workshop at @icmlconf 2024! 📽️📽️📽️ We welcome submissions that explore video generation via different modes of control (e.g. text, pose, action). Deadline: 31st May AOE Website: sites.google.com/corp/view/cvgi…
After two good years at Microsoft Research AI4Science, I am very excited to announce that as of this month I have, together with Chad Edwards, co-founded a new startup in the field of molecular and materials discovery.
Congrats to Prof Andrew Saxe (@SaxeLab), joint SWC/@GatsbyUCL PI, and collaborators at @unicomplutense @Wellesley & Martin Luther University Halle-Wittenberg, on their @HFSP grant covering research on the emergence of collective intelligence. 🎉 Read more sainsburywellcome.org/web/research-n…
This was published a while ago, but I just noticed it. @theafricaiknow_ Thanks for the interview and profile!
Previously, he held the position of Associate Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign. Read full article: buff.ly/3xcUGTi
I’m really excited about the launch of AfriClimate AI 🚀. Africa’s climate problems are specific, urgent and ready to be addressed by groups of committed Africans. I remember an idea at the last Indaba, now it has an excellent group having fun and creating change 🌍
✨🌍 Exciting news from the Heart of Africa! Introducing AfriClimate AI: blending AI with Climate Science for a sustainable, prosperous, and resilient Africa. 🌱 Join us in this journey to shape a climate-resilient Africa. Learn more: africlimate.ai/about/why-afri… #AfriClimateAI
Highly deserved ERC Advanced for Peter Grünwald. Great news for science in NL, and for one of its leading scientists! Can't wait to see all the cool new results that will come out of this project.
Great news for Peter @PeterDGrunwald, CWI @CWInl, for e-values, for statistics, for science...! :D cwi.nl/en/news/erc-ad…
In-context learning (ICL) circuits emerge in a phase change... Excited for our new work "What needs to go right for an induction head (IH)?" We present "clamping", a method to causally intervene on dynamics, and use it to shed light on IH diversity + formation. Read on 🔎⏬
Our new work in @NatureMedicine Using generative models in path, radiology and derm - we can create synthetic training data to ⬆️ AI fairness & robustness, including underrepresented groups. Work w/ a great team @GoogleDeepMind @GoogleAI @GoogleHealth nature.com/articles/s4159…
@DonskerClass @ildiazm @mark_vdlaan @kara_rudolph @ArthurGretton and coauthors this is extremely impressive work! A bit technical for me, but I think even understanding the estimand alone (depicted in the plots in the preview above) would be a major contribution to the practice of mediation analysis.
@ArthurGretton Thank you very much for your message, Arthur!
📢 We are back! 🎇 Following the success of our Robust ML Workshop in 2023, we are organising not one, but two workshops this year: ELLIS Robust ML Workshop 2024: June 27-28, Helsinki 🇫🇮 ELLIS Robust LLMs Workshop 2024: July 29-30, Oxford 🇬🇧
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