Cambridge MLG @CambridgeMLG
Machine Learning Group @Cambridge_Uni mlg.eng.cam.ac.uk Cambridge, UK Joined February 2011-
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We released this new agenda on LLM-safety yesterday. This is VERY comprehensive covering 18 different challenges. My co-authors have posted tweets for each of these challenges. I am going to collect them all here! P.S. this is also now on arxiv: arxiv.org/abs/2404.09932
We released this new agenda on LLM-safety yesterday. This is VERY comprehensive covering 18 different challenges. My co-authors have posted tweets for each of these challenges. I am going to collect them all here! P.S. this is also now on arxiv: arxiv.org/abs/2404.09932
A very comprehensive survey of research challenges in AI Safety for LLMs from our lab! If you want to start working on tackling foundational problems pertaining to alignment of LLMs, this paper provides a list of problems you can immediately get started with
A very comprehensive survey of research challenges in AI Safety for LLMs from our lab! If you want to start working on tackling foundational problems pertaining to alignment of LLMs, this paper provides a list of problems you can immediately get started with
I’m super excited to release our 100+ page collaborative agenda - led by @usmananwar391 - on “Foundational Challenges In Assuring Alignment and Safety of LLMs” alongside 35+ co-authors from NLP, ML, and AI Safety communities! Some highlights below...
Along with @MathieuEmile and @vdutor we've cooked up a gentle introduction to flow matching, a recent method for efficiently training continuous normalizing flows (CNFs)! Hope you find it interesting! mlg.eng.cam.ac.uk/blog/2024/01/2… 1/2
We are the original scaling lab, scaling up GPs since 2002
New paper! As AI systems become more powerful and have more social impact, the burden of proof needs to be on practitioners to demonstrate that their systems are safe and socially beneficial. There are no established methods for doing so, but many directions to explore.
New paper! As AI systems become more powerful and have more social impact, the burden of proof needs to be on practitioners to demonstrate that their systems are safe and socially beneficial. There are no established methods for doing so, but many directions to explore.
I'll be talking about how we can use Bayesian Committee Machines to make better precipitation predictions under different climate scenarios☔️ (6pm GMT)
🟥Everyone's favourite Bayesian Symposium is back in 2024🚀. This year #AABI2024 will be co-located with ICML in Vienna in July. This year we have: 1⃣ extended abstract and 2⃣ full-paper archival tracks. ☑️Submission deadline: 29 March CFP: approximateinference.org/call/index.html
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!
I'm sure we'll be there again this year! Looking forward to seeing all of our (approximately) Bayesian friends soon :)
I'm sure we'll be there again this year! Looking forward to seeing all of our (approximately) Bayesian friends soon :)
A highlight of the #NeurIPS2023 meetup in Cambridge for me was Carl Rasmussen's keynote on "Halting Climate Change". Spoiler: it has nothing to do with AI. Worth a watch: youtube.com/watch?v=naFaQs…
Michael Bronstein @mmbronstein
43K Followers 4K Following #DeepMind Professor of #AI @UniofOxford / Fellow @ExeterCollegeOx / ML Lead @ProjectCETI / https://t.co/kZpGpDzYeVDan Roy @roydanroy
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39K Followers 7K Following I lead @CohereForAI. Formerly Research @Google Brain @GoogleDeepmind. ML Efficiency at scale, LLMs, @trustworthy_ml. Changing spaces where breakthroughs happen.Andreas Kirsch 🇮�.. @BlackHC
9K Followers 5K Following Past: 🧑🎓 DPhil @AIMS_oxford @ExeterCollegeOx @UniofOxford (4.5yr) 🧙♂️ RE @DeepMind (1yr) 📺 SWE @Google (3yrs) 🎓 @TU_Muenchen 👤 Fellow @nwspkZoubin Ghahramani @ZoubinGhahrama1
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4K Followers 115 Following Professor of Machine Learning, University of Cambridge, UK.antonio vergari 💥 .. @tetraduzione
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28K Followers 1K Following Research Scientist & Manager @GoogleDeepMind Tokyo/MTV. ex: @GoogleAI Brain, @OpenAI. (JP: @shanegJP)Jakob Foerster @j_foerst
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118 Followers 119 Following Providing cloud-native, high-performance computation and data-intensive research infrastructure to @Cambridge_Uni @[email protected]Garrett -DeepWriterAI @DeepAIWriter
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41 Followers 441 Following LLM fan girl | prev data quality @cohere | optimize for knowledge | Toronto | 🇨🇦حسن نجفی @Njfy36986H
12 Followers 241 FollowingSadegh Salehi @Sadegh_Salehi97
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555 Followers 755 Following Incoming Assistant Professor at CMU. Courant Instructor @NYU_Courant. Previously @Harvard, @MIT, @NorthwesternU, @GoogleAI.Srijith P K @srijithpk
9 Followers 116 Following Machine Learning Researcher, Faculty at IIT Hyderabaddeepphysic @deepphysic
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4K Followers 2K Following Associate Prof. @Harvard | Faculty @harvardmed @BWHPath @MGHPathology @broadinstitute @harvard_data | via @JohnsHopkins | Multimodal Computational PathologySeán Ó hÉigeartaig.. @S_OhEigeartaigh
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96 Followers 215 Following PhD student in machine learning & computer vision @ QMUL. Prev: intern @ Huawei Noah's Ark, CYI.chines @chines1259769
0 Followers 640 FollowingBrandon Jaipersaud @brandon_jaip
42 Followers 228 FollowingPulkit Gopalani @GopalaniPulkit
21 Followers 468 Following Grad student, CSE UMich | prev. IIT Kanpurai@cam @ai_cam_mission
222 Followers 279 Following ai@cam is Cambridge University's flagship mission to develop AI for the benefit of science, citizens, and society.Mutian Tong @TongMutianTMT
0 Followers 9 FollowingRachel Wong @RachelWong5297
11 Followers 246 FollowingMax Hinne @Max_Hinne
408 Followers 276 Following Assistant professor at Donders Institute; Radboud University. Likes Bayesian nonparametrics, connectomics, and several related topics. (he/him)Hannah Strasburg @StrasburgHannah
22 Followers 511 FollowingSiu Lun Chau @Chau9991
337 Followers 479 Following Postdoctoral Researcher at the Rational Intelligence Lab @CISPA; Previously at @oxcsml, @AmazonUK, @MPI_IS.Ege keyvan @EgeKeyvan
12 Followers 187 FollowingJerry Hellden @Yariv_hellden
767 Followers 7K Following Founder @ Andromedaerospace, Experimental Aerospace engineer, Theoretical physicist, Quantum cosmologist, ML engineer, Futurist, Scientist, Reverse engineer🇺🇸Akash Gupta @aksgupta97
80 Followers 653 Following MS CS Courant @nyuniversity | Applied Scientist Intern @amazon | Past Researcher @val_iisc @IIIT_Hyderabad @NUSComputing @CERN | @alumni_thaparOATML_Oxford @OATML_Oxford
5K Followers 125 Following Oxford Applied and Theoretical Machine Learning GroupKrueger AI Safety Lab @kasl_ai
227 Followers 47 Following We are a research group at the University of Cambridge focused on avoiding catastrophic risks from AI.Athelstan⏸️Carlto.. @AthelstanJohnCa
220 Followers 1K Following still training on humanity’s training set, forgive any misalignmentGagan Jain @gaganjain1582
50 Followers 745 Following Predoc Researcher @GoogleDeepMind | IIT Bombay'22Francesco Amato 🇮�.. @famato6
308 Followers 2K Following PhD student at @UniversiteLyon|@ERIC_EA3083. #statistics #AIpiyushh @piyushsare
903 Followers 1K FollowingFerenc 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 @BaldertonDan Roy @roydanroy
45K Followers 2K Following ML / AI researcher, emphasis on theory. Research Director and Canada CIFAR AI Chair, @VectorInst Professor, @UofT (Statistics/CS)Sara Hooker @sarahookr
39K Followers 7K Following I lead @CohereForAI. Formerly Research @Google Brain @GoogleDeepmind. ML Efficiency at scale, LLMs, @trustworthy_ml. Changing spaces where breakthroughs happen.Zoubin 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.Jose Miguel Hernánde.. @jmhernandez233
4K Followers 115 Following Professor of Machine Learning, University of Cambridge, UK.Alexander Terenin @avt_im
6K Followers 948 Following Machine learning, artificial intelligence, decision theory | anti-ideological | thinking carefully about incentives | Assistant Research Professor @CornellShane Gu @shaneguML
28K Followers 1K Following Research Scientist & Manager @GoogleDeepMind Tokyo/MTV. ex: @GoogleAI Brain, @OpenAI. (JP: @shanegJP)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)David Krueger @DavidSKrueger
13K Followers 4K Following Cambridge faculty - AI alignment, deep learning, and existential safety. Formerly Mila, FHI, DeepMind, ElementAI, AISI.Max Jaderberg @maxjaderberg
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.Emtiyaz Khan @EmtiyazKhan
11K Followers 234 Following Team leader at @RIKEN_AIP_EN. Opinions my own. Follow me at https://t.co/jXDOS1HKXEKrueger AI Safety Lab @kasl_ai
227 Followers 47 Following We are a research group at the University of Cambridge focused on avoiding catastrophic risks from AI.Yen-Huan Li @yenhuan_li
2K Followers 535 Following Associate professor in CS @ National Taiwan University. PhD in CS from EPFL. Learning, optimization, statistics, and some quantum information.Atli Kosson @AtliKosson
124 Followers 338 Following PhD student at @EPFL🇨🇭 working on improved understanding of deep neural networks and their optimizationArmin Ronacher @mitsuhiko
51K Followers 720 Following Creator of Flask; Now @getsentry — love API design, Python and Rust. Love my stuff? https://t.co/aVQ1KPH8jA — “more nuanced in person”Julien Horwood @jd_horwood
36 Followers 59 FollowingIsaac Reid @isaac_o_reid
59 Followers 63 Following Machine learning PhD @CambridgeMLG 🤖 || Recovering theoretical physicist @UniOfOxford 🔭|| Keeping it analytic @TrinCollCamBruno Mlodozeniec @kayembruno
221 Followers 422 Following PhD @Cambridge_Uni | https://t.co/nBaf31ZSeu | Previously @MSFTResearch, @QCOMResearchJihao Andreas Lin @JihaoAndreasLin
72 Followers 81 Following PhD student in probabilistic machine learning at University of CambridgeKenza Tazi @KenzaxTazi
386 Followers 504 Following Machine learning for the environment | PhD candidate @AI4ER_CDT @CambridgeMLG @BAS_News | 🇲🇦🇬🇧🇺🇸🇪🇺Max Patacchiola @mpatacch
225 Followers 386 Following @Worldcoin Senior AI Research Engineer | ex-{University of Cambridge MLG, University of Edinburgh, Snapchat, Huawei}Katie Collins @katie_m_collins
1K Followers 1K Following Machine Learning PhD Student @Cambridge_Uni & Marshall Scholar | Student Researcher, @CambridgeMLG & @MITCoCoSci | @MIT '21 | Founder, @mitxharvard_waiVincent Dutordoir @vdutor
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31 Followers 101 FollowingCambridgeEllisUnit @CambridgeEllis
963 Followers 172 Following The mission of the Cambridge ELLIS unit is to build on the excellent machine learning and AI infrastructure available within the University of Cambridge.Boltzbit @boltzbit
30 Followers 11 Following The AI tech pioneer that transfers research in Generative Deep Learning into game-changing innovations.Secondmind Labs @SecondmindLabs
684 Followers 124 Following We are research group @SecondmindAI. We tweet about probabilistic modelling and active learning algorithms, and about tackling real-world problems with them.Vincent Stimper @VStimper
751 Followers 372 Following PhD student in Machine Learning at @Cambridge_Uni and @MPI_IS | Incoming Research Scientist @IsomorphicLabs. Former research intern at @Microsoft and @Amazon.Isabel Chien @IsabelChien_
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60 Followers 151 Following Senior researcher @MSFTResearchCam working on causal + probabilistic ML. PhD @CambridgeMLG in Probabilistic Machine Learning. Previously at @uclcsml.Matthew Ashman @_MatthewAshman
181 Followers 249 Following PhD student in probabilistic machine learning @CambridgeMLG.James Requeima @jamesrequeima
139 Followers 188 Following Postdoctoral fellow at the Vector Institute. Former PhD student in Machine Learning at the University of Cambridge CBL lab.Jan-Willem van de Mee.. @jwvdm
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243 Followers 414 Following Comp. Neurosci. of navigation, learning, decision-making (he/him)Andrey Malinin @AndreyMalinin
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252 Followers 520 Following Research Scientist @GoogleDeepMind Past: PhD @CambridgeMLG @Cambridge_Uni Support https://t.co/ZjxaXhHQvX @TheHumaneLeaguePaul Scherer @paulmorio
269 Followers 225 Following PhD Student @Cambridge_CL previously @InfAtEd, @MRC_Epid, @RelationRx Trying to learn.David Spiegelhalter @d_spiegel
87K Followers 385 Following Statistician: + evidence, risk, probability, chance, uncertainty. Emeritus Prof of Stats. Author Art of Statistics, co-author Covid by Numbers. Own opinions.Siddharth Swaroop @siddharthswar
557 Followers 69 Following Machine Learning Postdoc at Harvard University. Previously PhD student at the University of Cambridge.Wessel @ikwess
758 Followers 150 Following Sr Researcher @MSFTResearch Ams · 📚 Formerly @CambridgeMLG • GitHub: wesselbBayesian Methods Rese.. @bayesgroup
3K Followers 72 Following Research in Bayesian Deep Learning, Reinforcement Learning, Optimization, Structured Prediction, Drug Discovery and moreWe released this new agenda on LLM-safety yesterday. This is VERY comprehensive covering 18 different challenges. My co-authors have posted tweets for each of these challenges. I am going to collect them all here! P.S. this is also now on arxiv: arxiv.org/abs/2404.09932
I’m super excited to release our 100+ page collaborative agenda - led by @usmananwar391 - on “Foundational Challenges In Assuring Alignment and Safety of LLMs” alongside 35+ co-authors from NLP, ML, and AI Safety communities! Some highlights below...
Really enjoyed writing this piece with @torfjelde and @vdutor 🙌 Thanks @msalbergo @ValentinDeBort1 @JamesTThorn for your insightful feedback 👌
Along with @MathieuEmile and @vdutor we've cooked up a gentle introduction to flow matching, a recent method for efficiently training continuous normalizing flows (CNFs)! Hope you find it interesting! mlg.eng.cam.ac.uk/blog/2024/01/2… 1/2
@CambridgeMLG I read the date as April 1 at first
Along with @MathieuEmile and @vdutor we've cooked up a gentle introduction to flow matching, a recent method for efficiently training continuous normalizing flows (CNFs)! Hope you find it interesting! mlg.eng.cam.ac.uk/blog/2024/01/2… 1/2
Introducing Administrative Information Theory Kafka-information K(x): the longest email chain that results in the resolution of original query x. For most x, K(x) is unbounded. K(x) is uncomputable, but academic bureaucracy approximates it to within O(1).
Applications for this year's Deep Learning Indaba close on the 21st! Come have a great time in Senegal and learn about machine learning with a bunch of fun people. The DLI has undoubtedly had the single largest impact on my career to date! 🔥 deeplearningindaba.com/2024/
My PhD is coming to an end, and I'm excited to join @IsomorphicLabs as a Machine Learning Research Scientist soon. I'll be working in the Lausanne office starting in June. Very much looking forward to working on advancing drug discovery with AI!
I'm continually surprised by researchers wasting their time having arguments/conversations about mumbo jumbo.
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!
Tired of sending your Bayesian inference papers to generalist ML conferences and having no one know what is going on at the poster session? Submit to #AABI2024 instead and present your work directly to specialists in Bayesian inference!!
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!
@ylecun ICLR was created to address this same exact issue with peer review, right @ylecun ? at least based on: yann.lecun.com/ex/pamphlets/p…
@roydanroy My bet is we'll have a brain organoid takeover nature.com/articles/s4192…
Join us for an internship!
My research group @kasl_ai is looking for interns! Applications are due in 2 weeks ***January 29***. The long-awaited form: forms.gle/iLU1uQAxZ2UKEN… Please share widely!!
My research group @kasl_ai is looking for interns! Applications are due in 2 weeks ***January 29***. The long-awaited form: forms.gle/iLU1uQAxZ2UKEN… Please share widely!!
@HungLee Jane Street interviews look like maths/info Olympiad problems and are very difficult. It appeals to the mega-competitive students whose main heuristic is “the most challenging problems I can still do is what I should do”. This, combined with sweet offers is a very nice trap.
@HungLee Yes! I have opinions. In Cambridge, hedge fund internships have the highest prestige, even considered better than doing research. A big part of this is the interview format.
Nothing I haven't said before, but I hope this post is useful for ML people without much cheminformatics experience. Thanks to all those who discussed GAs with me in previous Twitter threads. I tried to incorporate some feedback from our discussions in the post 🙂
In the latest blog on Portal, @austinjtripp explores the use of genetic algorithms as strong baselines for moelcule generation. He also presents mol_ga, a simple, lightweight python package for genetic algorithms on molecules. Read more: portal.valencelabs.com/blogs/post/gen…
Interested in identifiable causal representation learning with flexible nonlinear modules? 👇 A summary of our #NeurIPS paper “Nonparametric Identifiability of Causal Representations from Unknown Interventions”. 📜 arxiv.org/abs/2306.00542 @MPI_IS @CambridgeMLG @DataSciColumbia