OATML_Oxford @OATML_Oxford
Oxford Applied and Theoretical Machine Learning Group oatml.cs.ox.ac.uk Oxford, England Joined August 2018-
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📢 New Paper Alert! 📝 "Explaining Explainability: Understanding Concept Activation Vectors" 📄arxiv.org/abs/2404.03713 What does it mean to represent a concept as a vector? We explore three key properties of concept vectors and how they can affect model interpretations. 🧵(1/5)
📢Competition results! 📢 Very excited to announce TextCAVs, an adaptation of TCAV which can provide concept-based explanations for deep learning models with no data. In the #SaTML2024 competition we found all four secret trojans and came third in the rediscovery benchmark! 🎉
📢Competition results! 📢 Very excited to announce TextCAVs, an adaptation of TCAV which can provide concept-based explanations for deep learning models with no data. In the #SaTML2024 competition we found all four secret trojans and came third in the rediscovery benchmark! 🎉
Registration for OATML’s Virtual Open Day closes tomorrow. If you are interested in joining for a PhD, we encourage you to register and join us 22 Nov from 4-5:30GMT! Sign-up: docs.google.com/forms/d/e/1FAI… Group members attending:
Enormous congratulations to the newly doctor-ified Dr @sorenmind, who @latentjasper and I examined today—it was a real pleasure to discuss your impressive work, Sören!
We’re organising a virtual open day! 📅 4-5:30 PM GMT on 22 Nov 2023 Anyone interested in joining @OATML_Oxford 🥣🌾for a PhD is welcome! Come to meet OATMLers, get a feel for our group, and ask any questions you may have! ✏️ Sign Up: forms.gle/MSMwp3wvUR9Cnc…
New AI tool could help predict viral outbreaks ox.ac.uk/news/2023-10-1… @OATML_Oxford #AI
We’ve updated our EVEscape paper with more SARS2 retrospective evaluation and potential use-cases! biorxiv.org/content/10.110… Collaborators @sarahgurev @NotinPascal @nooryoussef03 @_nathanrollins @sandercbio @yaringal (@OATML_Oxford), @deboramarks, 🧵1/4
Our awesome Project Manager at our AI/ML research group @OATML_Oxford (based at @CompSciOxford @UniofOxford) will leave us soon :( We're looking for someone to take the role: if you know anyone who's interested, please forward the job advert! closing 21/4 cs.ox.ac.uk/news/2152-full…
I'm very proud that my collaboration w @NASAAmes & the @SETIInstitute is finally published in @NatureAstronomy We show a framework to search for life on another planet in a data-driven fashion, starting from orbit & all the way through to a rover's view nature.com/articles/s4155…
How can we measure how uncertain LLMs are about their generations? In our spotlight at #iclr2023 with @yaringal & @sebfar, we introduce "semantic entropy", the entropy over meanings rather than sequences, and show that it reliably measures LM uncertainty🧵arxiv.org/abs/2302.09664
It's Sunday—porridge day! Porridge, my (slightly-sticky) emotional crutch. I'm going to document my porridge with photos, in the hope that you may be able to share in my enjoyment. - 125g salted butter - 250g jumbo rolled oats - 1.75L milk - 1 tsp salt
@OATML_Oxford is co-hosting Schmidt AI in Science Fellows to work cutting-edge AI to tackle the big scientific questions of our time. Take a look at some of the research we've done with collaborators in the sciences: nature.com/articles/s4158…
**Call open for the Schmidt AI in Science Postdoctoral Fellowship Program** @SchmidtFutures @UniofOxford Have you completed a PhD in an area of mathematical, physical, or life sciences? Do you have a vision for transformational research in your field using tools from ML/AI?
We have a PhD studentship co-supervised between me @OATML_Oxford and Alessandro Abate @CompSciOxford!
@OATML_Oxford group members and collaborators are proud to present 6 papers at NeurIPS 2022 main conference, and 8 workshop papers. Come chat to us at the poster sessions! oatml.cs.ox.ac.uk/blog/2022/11/2…
Fantastic work by @neilbband and our great collaborators at @OATML_Oxford and @GoogleAI! 🚀
Fantastic work by @neilbband and our great collaborators at @OATML_Oxford and @GoogleAI! 🚀
Public release of the #̶N̶e̶u̶r̶I̶P̶S̶2̶0̶2̶2̶ #NeurIPS2021 (😅) RETINA Benchmark: A suite of tasks evaluating the reliability of uncertainty quantification methods like Deep Ensembles, MC Dropout, VI, and more. 📜 arxiv.org/abs/2211.12717 💻 rebrand.ly/retina-benchma… 🧵below [0/N]
[1/5] Pleased to announce our new #NeurIPS2022 paper “Interventions 🔨, Where and How? Experimental Design for Causal Models at Scale” Joint work with @yashasannadani* @anndvision @bschoelkopf @yaringal @stefanAbauer 📄arxiv.org/abs/2203.02016 🖥️github.com/yannadani/cbed
Our NeurIPS Oral🔥 🧪Active Surrogate Estimators: An Active Learning Approach to Label-Efficient Model Evaluation shows actively learned models predict test loss better than using only labels. 📄arxiv.org/abs/2202.06881 Thank you @seb_far @yaringal @tom_rainforth @OATML_Oxford
Michael Bronstein @mmbronstein
43K Followers 4K Following #DeepMind Professor of #AI @UniofOxford / Fellow @ExeterCollegeOx / ML Lead @ProjectCETI / https://t.co/kZpGpDzYeVyobibyte @y0b1byte
15K Followers 2K Following Kurin ViTaly, senior research scientist @IsomorphicLabs, ML PhD from @UniofOxford on RL, Multitask learning & GraphsAndreas Kirsch 🇮�.. @BlackHC
9K Followers 5K Following Past: 🧑🎓 DPhil @AIMS_oxford @ExeterCollegeOx @UniofOxford (4.5yr) 🧙♂️ RE @DeepMind (1yr) 📺 SWE @Google (3yrs) 🎓 @TU_Muenchen 👤 Fellow @nwspkKevin Patrick Murphy @sirbayes
43K Followers 334 Following Research Scientist at Google Brain / Deepmind. Interested in Bayesian Machine Learning.Dan Roy @roydanroy
45K Followers 2K Following ML / AI researcher, emphasis on theory. Research Director and Canada CIFAR AI Chair, @VectorInst Professor, @UofT (Statistics/CS)Frank Nielsen @FrnkNlsn
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3K Followers 640 Following Currently research intern @cohere, PhD supervised by @_rockt and @egrefen. Language and LLMs. Spent time at FAIR, Google, and NYU (@LakeBrenden). She/her.Sara Hooker @sarahookr
39K Followers 8K Following I lead @CohereForAI. Formerly Research @Google Brain @GoogleDeepmind. ML Efficiency at scale, LLMs, @trustworthy_ml. Changing spaces where breakthroughs happen.Sam Power @sp_monte_carlo
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21K Followers 3K Following Deep learner at FAIR. Into codegen, equivariance, generative models. Spent time at Qualcomm, Scyfer (acquired), UvA, Deepmind, OpenAI.Yarin @yaringal
38K Followers 222 Following Associate Professor of Machine Learning, University of Oxford @OATML_Oxford Group Leader Director of Research at AISI (formerly UK Taskforce on Frontier AI)Pasquale Minervini �.. @PMinervini
7K Followers 4K Following Researcher in ML/NLP at the University of Edinburgh (faculty @InfAtEd @EdinburghNLP), @ELLISforEurope, @UCL_NLP, PI for @Clarify2020, https://t.co/WydvfU8ugz he/theyEthan Caballero is bu.. @ethanCaballero
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12K Followers 1K Following Advancing AI. Chief AI Scientist @IsomorphicLabs. Prev: research scientist @DeepMind, co-founder Vision Factory (acq. Google 2014), PhD @Oxford_VGG lab.Alexander Terenin @avt_im
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211 Followers 548 Following Incoming @MITEECS PhD student 2024; previously at @Mila_Quebec, @MPI_IS, NVIDIA HK, Stanford AI Lab, CUHK Multimedia Lab. Interested in robustness.Sathvik Napa @sunnysathvik
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23 Followers 94 FollowingAaditya ; @Aaditya26082004
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63 Followers 211 Following Fly High on the Wings Of Courage @realmadrid @mohunbagansgFangru Lin @FangruLin99
219 Followers 197 Following DPhil NLP student @UniofOxford; Clarendon Scholar; Ex SDE intern @Microsoft; Computational Linguist; know how and know whyIlya Dobrovinsky @DobroIlya
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18 Followers 94 Following A fan of AI, robotics, and computer graphics, more passionate about DRL, generative AI, and DL&LLMIvan @_fentropy
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8 Followers 122 FollowingAndreas Kirsch 🇮�.. @BlackHC
9K Followers 5K Following Past: 🧑🎓 DPhil @AIMS_oxford @ExeterCollegeOx @UniofOxford (4.5yr) 🧙♂️ RE @DeepMind (1yr) 📺 SWE @Google (3yrs) 🎓 @TU_Muenchen 👤 Fellow @nwspkFerenc Huszár @fhuszar
40K Followers 1K Following Secular Bayesian. Associate Professor in Machine Learning @Cambridge_CL. Talent aficionado at https://t.co/RbJkoLguey Alum of @Twitter, Magic Pony and @BaldertonNeurIPS Conference @NeurIPSConf
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36K Followers 777 Following FR/US/GB AI/ML Person, Director of Research at @GoogleDeepMind, Honorary Professor at @UCL_DARK, @ELLISforEurope Fellow. All posts are personal.Kyunghyun Cho @kchonyc
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38K Followers 222 Following Associate Professor of Machine Learning, University of Oxford @OATML_Oxford Group Leader Director of Research at AISI (formerly UK Taskforce on Frontier AI)Nando de Freitas 🏳.. @NandoDF
97K Followers 659 Following I research intelligence to understand it and to harness it wisely. Part of AlphaGo tuning, AlphaCode, learning to learn, Lyria, Imagen2, Gato, rGemmaTim Rocktäschel @_rockt
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205 Followers 846 Following Health Data Science DPhil student at @UniofOxford. Hates boredom. Loves science. Supervised by @AlisonNoble_OU and @yaringalUCL DARK @UCL_DARK
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46K Followers 5K Following Busy inventing the shipwreck. @Penn. Past: @johnshopkins, @UCSC, @Amazon, @Twitter ||Art: #NLProc, Vision, Speech, #DeepLearning || Life: 道元, improv, running 🌈AK @_akhaliq
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362 Followers 721 Following ML PhD at Oxford with @tom_rainforth @adamefoster. Previously at UCL with @profdata @bdroads @egrefen.robin_ru_ox @ox_robin
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34K Followers 1K Following Machine Learning Researcher, CS Professor (@PrincetonCS), Dad, WoodworkerThore Graepel @ThoreG
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3K Followers 128 Following Professor and Head of Artificial Intelligence and Sustainability at Hasso-Plattner InstitutVikash Mansinghka @vmansinghka
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370K Followers 2 Following towards a plurality of humanity loving AGIs @openaiWe are the original scaling lab, scaling up GPs since 2002
📢 New Paper Alert! 📝 "Explaining Explainability: Understanding Concept Activation Vectors" 📄arxiv.org/abs/2404.03713 What does it mean to represent a concept as a vector? We explore three key properties of concept vectors and how they can affect model interpretations. 🧵(1/5)
📢Competition results! 📢 Very excited to announce TextCAVs, an adaptation of TCAV which can provide concept-based explanations for deep learning models with no data. In the #SaTML2024 competition we found all four secret trojans and came third in the rediscovery benchmark! 🎉
📢 Announcing the #SaTML2024 CNN Interpretability Competition results: 🥇 *New record* - Yun et al. - RFLA-Gen2 🥈 Moore et al. - FEUD 🥉 Nicolson - TextCAVs 👏 Tagade and Rumbelow - Prototype Gen Report: arxiv.org/abs/2404.02949 All were impressive!🧵 on new innovations below.
And a big thank you to my supervisors @AlisonNoble_OU @NobleLabOxford and @yaringal @OATML_Oxford for supporting me throughout my work and giving me the academic freedom explore new things. P.S. We're working on developing this so stay tuned for updates!
I cannot express enough gratitude towards my collaborator @miouantoinette and supervisors @AlisonNoble_OU @NobleLabOxford and @yaringal @OATML_Oxford for their help and support throughout the project. 📄arxiv.org/abs/2404.03713 🧵(5/5)
I'm currently looking for interns working on transformers for tabular data, building on the ideas of TabPFN. Either spring 2024 or summer 2024 are possible, in person in CA. You need to be enrolled in an MS or PhD program. jobs.careers.microsoft.com/global/en/job/…, reach out for more info.
Roadworks and crowds are super common in London. Thought I'd share a recent ride through Notting Hill and how our AI carefully but confidently navigates through crowds. Impressive to see our AI keep a safe distance while distracted pedestrians jump around us.
Great opportunity for potential students to connect with this excellent research team. Initiatives like this are invaluable for students and any job seekers when looking for the right fit for their journey. Hopefully more research groups will consider initiatives like this!
We’re organising a virtual open day! 📅 4-5:30 PM GMT on 22 Nov 2023 Anyone interested in joining @OATML_Oxford 🥣🌾for a PhD is welcome! Come to meet OATMLers, get a feel for our group, and ask any questions you may have! ✏️ Sign Up: forms.gle/MSMwp3wvUR9Cnc…
Enormous congratulations to the newly doctor-ified Dr @sorenmind, who @latentjasper and I examined today—it was a real pleasure to discuss your impressive work, Sören!
Amazing work by the exceptional team @DeboraMarksLab & @OATML_Oxford: Nicole Thadani, @sarahgurev @NotinPascal et al.
New AI tool could help predict viral outbreaks ox.ac.uk/news/2023-10-1… @OATML_Oxford #AI
Can LLM-based chat predict its own correctness? @AndrewYNg called for it: deeplearning.ai/the-batch/larg… @OpenAI discuss it for GPT-4: news.ycombinator.com/item?id=351868… @OATML_Oxford have considered it: arxiv.org/abs/2302.09664 Also @jurafsky et al: arxiv.org/abs/2302.13439
In my next role, I’m considering experimenting (internally) with LLMs fine-tuned on private/propriety data. Think “The UX of ChatGPT, with the knowledge of your company data” If your company uses Teams, it’s super easy to setup a ChatGPT baseline: powerusers.microsoft.com/t5/Webinars-an…
We’ve updated our EVEscape paper with more SARS2 retrospective evaluation and potential use-cases! biorxiv.org/content/10.110… Collaborators @sarahgurev @NotinPascal @nooryoussef03 @_nathanrollins @sandercbio @yaringal (@OATML_Oxford), @deboramarks, 🧵1/4
Our awesome Project Manager at our AI/ML research group @OATML_Oxford (based at @CompSciOxford @UniofOxford) will leave us soon :( We're looking for someone to take the role: if you know anyone who's interested, please forward the job advert! closing 21/4 cs.ox.ac.uk/news/2152-full…
I'm very proud that my collaboration w @NASAAmes & the @SETIInstitute is finally published in @NatureAstronomy We show a framework to search for life on another planet in a data-driven fashion, starting from orbit & all the way through to a rover's view nature.com/articles/s4155…
How can we measure how uncertain LLMs are about their generations? In our spotlight at #iclr2023 with @yaringal & @sebfar, we introduce "semantic entropy", the entropy over meanings rather than sequences, and show that it reliably measures LM uncertainty🧵arxiv.org/abs/2302.09664
It's Sunday—porridge day! Porridge, my (slightly-sticky) emotional crutch. I'm going to document my porridge with photos, in the hope that you may be able to share in my enjoyment. - 125g salted butter - 250g jumbo rolled oats - 1.75L milk - 1 tsp salt
Fantastic work by @neilbband and our great collaborators at @OATML_Oxford and @GoogleAI! 🚀
Public release of the #̶N̶e̶u̶r̶I̶P̶S̶2̶0̶2̶2̶ #NeurIPS2021 (😅) RETINA Benchmark: A suite of tasks evaluating the reliability of uncertainty quantification methods like Deep Ensembles, MC Dropout, VI, and more. 📜 arxiv.org/abs/2211.12717 💻 rebrand.ly/retina-benchma… 🧵below [0/N]
Public release of the #̶N̶e̶u̶r̶I̶P̶S̶2̶0̶2̶2̶ #NeurIPS2021 (😅) RETINA Benchmark: A suite of tasks evaluating the reliability of uncertainty quantification methods like Deep Ensembles, MC Dropout, VI, and more. 📜 arxiv.org/abs/2211.12717 💻 rebrand.ly/retina-benchma… 🧵below [0/N]