Jose Miguel Hernández-Lobato @jmhernandez233
Professor of Machine Learning, University of Cambridge, UK. jmhl.org Cambridge, England Joined October 2012-
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Missed our last talk with Prof Po-Ling Loh - Differentially private M-estimation via noisy optimization? You can watch it here! #MachineLearning in #AI youtu.be/KYZ2Gt81G1I. .
Our next Seminar Series talk is @po-ling-loh-60297013a on "Differentially private M-estimation via noisy optimization". See more details. ellis.eng.cam.ac.uk/cambridge-elli…
We are now accepting applications for the @Cambridge_Uni @ELLISforEurope Summer School on Probabilistic #MachineLearning in @Cambridge_Eng #AI 15-19 July more info here: ellis.eng.cam.ac.uk/summer-school/
We are now accepting applications for the @Cambridge_Uni @ELLISforEurope Summer School on Probabilistic #MachineLearning in @Cambridge_Eng #AI 15-19 July more info here: ellis.eng.cam.ac.uk/summer-school/
The Cambridge Ellis Unit Summer School on Probabilistic Machine Learning is from 15-19 July 2024 at the Cambridge Department of Computer Science and Technology. Application deadline: 8 May 2024 Admission notification by: 22 May 2024 More information: ellis.eng.cam.ac.uk/summer-school/
@jmhernandez233 is kicking off the second day of GenLife talking about DGMs for molecular simulation! genlife.dk
@NotinPascal kicks off the first talk of GenLife 2024! genlife.dk
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
@sp_monte_carlo Yes, very good point. But as with every good general rule, there are exceptions. Eg randomizing some things you can compute exactly can altogether make SGD more efficient (changing noise from additive to multiplicative). Example here: arxiv.org/abs/2310.20581
Reminder. Last two days to apply for this position!
Reminder. Last two days to apply for this position!
Looking for Postdoc/Research Assistant to work on deep generative models (e.g diffusion, energy based, normalizing flow or transformer-based models), with a focus on the domain of molecules. Application deadline 11 April 2024. More info: jobs.cam.ac.uk/job/45776/
Excited to be giving a talk on synthesis planning @valence_ai on Tuesday (11am ET). I'll be talking about retro-fallback (just accepted at ICLR'24) and our python package "syntheseus". All are welcome to join! portal.valencelabs.com/events/post/ev…
Another one flew the nest! Though @ShehZaidi has been flying high for a while now :)
In case you missed our talk with @contactrika, here is the link: youtu.be/Dqh_g9-64wU?si…
Looking forward to this new online seminar by the Cambridge ELLIS unit, tomorrow at 2pm UK time. Zoom details in the link.
Looking forward to this new online seminar by the Cambridge ELLIS unit, tomorrow at 2pm UK time. Zoom details in the link.
I'm proud to announce that I received a PhD prize by G-Research including a monetary award of £10k. Thanks @GRESEARCHjobs for this generous appreciation of the research I did in the past 4 years! 🎉
I’m really excited to share our ICLR paper proposing Controlled Monte Carlo Diffusions (CMCD), a new sampler that enforces boundary conditions on the marginals exactly, achieving SOTA scores on ELBO and ln Z estimation! Thread on neat theoretical contributions and video (1/11)!
🟥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
I've put up a blog post on the "The Open Society and its AI" It covers the gist of my keynote at the State of Open UK conference on Wednesday and was included in their report. inverseprobability.com/2024/02/09/the…
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Zhǎn Lǐ @zhanlilz
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767 Followers 7K Following Founder @ Andromedaerospace, Experimental Aerospace engineer, Theoretical physicist, Quantum cosmologist, ML engineer, Futurist, Scientist, Reverse engineer🇺🇸
Miguel-Ángel Fernán.. @miguelangelft
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Farideh Jalali @faridehJalali
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Zhixiang Wang @lightchaserx
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Cambridge Computer Hi.. @cam_computer
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Daniel Augusto @spectraldani
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kdiwakar reddy @KdiwakarR
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Huyen Khanh Vo @sungoannn
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Vincent Zhang @centzh
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Guohao Li @guohao_li
4K Followers 4K Following Founder of @CamelAIOrg. Postdoc @UniofOxford. Finding the Scaling Law of Agents. Lead https://t.co/sD41ezagEr. Prev @KaustVision, @intel, @ETH_en, https://t.co/57iWaSd3pw, https://t.co/Kz9e9CCfut.
Miguel Steiner @_Miguel_Steiner
227 Followers 346 Following PhD student @ETH Zürich and Austrian delegate of the @YoungChemists
Johannes Brandstetter @jo_brandstetter
3K Followers 620 Following Ass. Prof / Group Lead @jkulinz, Head of Research - AI4Simulation NXAI. Former @MSFTResearch, @UvA_Amsterdam, @CERN, @tu_wien
Renato Assuncao @assuncaoest
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Dan Roy @roydanroy
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Michael Bronstein @mmbronstein
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Ferenc Huszár @fhuszar
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Petar Veličković @PetarV_93
30K Followers 555 Following Staff Research Scientist @GoogleDeepMind | Affiliated Lecturer @Cambridge_Uni | Associate @clarehall_cam | GDL Scholar @ELLISforEurope. Monoids. 🇷🇸🇲🇪🇧🇦
Kyunghyun Cho @kchonyc
61K Followers 2K Following a combination of a mediocre scientist, a mediocre manager, a mediocre advisor & a mediocre PC at @nyuniversity (@CILVRatNYU) & @genentech (@PrescientDesign).
Zoubin Ghahramani @ZoubinGhahrama1
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Frank Noe @FrankNoeBerlin
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Alexander Terenin @avt_im
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Durk Kingma @dpkingma
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ELLIS @ELLISforEurope
12K Followers 69 Following Shaping the future with AI research excellence! More about ELLIS: https://t.co/n6nVmEGhKk
Krikamol@CISPA @krikamol
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Marwin Segler @marwinsegler
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Francesca Grisoni @fra_grisoni
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Prof. Anima Anandkuma.. @AnimaAnandkumar
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Arthur Gretton @ArthurGretton
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John Chodera (he/him) @jchodera
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Jonas Geiping @jonasgeiping
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Hannes Stärk @HannesStaerk
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Vincent Stimper @VStimper
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Marc Brockschmidt @mmjb86
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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.
Joaquin Quiñonero Ca.. @jquinonero
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David Barber @davidobarber
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Philipp Hennig @PhilippHennig5
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Andreas Bender 🇩�.. @AndreasBenderUK
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Shreyas Padhy @shreyaspadhy
260 Followers 552 Following PhD student at the University of Cambridge. Ex @GoogleAI Resident, @jhubme and @iitdelhi. I like the math of machine learning & neuroscience. Also DnD.
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Meire Fortunato @FortunatoMeire
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Adrian Weller @adrian_weller
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Office for Artificial.. @OfficeforAI
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684 Followers 50 Following
D. Hernández-Lobato @dhnzlobato
44 Followers 27 Following I work as a lecturer of computer science at Universidad Autónoma de Madrid. Currently I do research on Machine Learning, with a focus on the Bayesian paradigm.
Robert Pinsler @rpinsler
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Gregor Simm @gncsimm
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Austin Tripp @austinjtripp
442 Followers 310 Following PhD student @CambridgeMLG | Creating Machine Learning Algorithms for Science. https://t.co/ZvGpvgGwzB
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696 Followers 438 Following Interested in Bayesian Inference and Molecular Dynamics @CambridgeMLG.
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Manuel Gomez-Rodrigue.. @autreche
1K Followers 136 Following Human-centric machine learning at the Max Planck Institute for Software Systems.
Happy to share the PhD thesis of @ml_hoedt : "On signal propagation theory in neural networks" epub.jku.at/obvulihs/conte…
Very kind review of the ideas in The Atomic Human by @matthewsyed in today's Sunday Times. "Locked in by language, we are freed by music, poetry, painting … and love" thetimes.co.uk/article/5ea945…
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 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
Another one flew the nest! Though @ShehZaidi has been flying high for a while now :)
🌟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'. 🌟
KI-Experte Klambauer über Large Language Models: “Brauchen jetzt neue Ideen” ift.tt/UQCOyPK
as well as a keynote presentation by prof Carl Rasmussen on his latest research on climate change policy. Finally, prof @lawrennd will chair a panel discussion on "AI for Social Good".
📢Followed @GoogleDeepMind’s @ZoubinGhahrama1 and @Aleph__Alpha’s @JonasAndrulis discussing the future of #GenerativeAI 📺Watch live today from 1530: parliamentlive.tv/Event/Index/04…
What are regulators doing about the opportunities & risks of #GenerativeAI? Today we're hearing from @CMAgovUK, @Ofcom, @EHRC and @ICOnews Watch live at 1430. Find out more: committees.parliament.uk/event/19793/fo…
What a great opportunity. I kind of want to apply myself!
The Cambridge Machine Learning group is offering PhD positions in Advanced Machine Learning at Cambridge. Application deadline: December 5, 2023. Details about the application process can be found here: mlg.eng.cam.ac.uk/phd_programme_…
LLMs for Science are likely going to be an important additional tool to solve hard problems. It is exciting early days for the field! If you want to learn more, here is our 200 page initial report on exploring the capabilities of LLMs for material science, chemistry & physics
New 📰 alert At @MSFTResearch AI4Science and @MSFTQuantum we explored #GPT4 's ability to tackle scientific discovery tasks, with interesting results. Link 👇 arxiv.org/abs/2311.07361 #LLM #AI4SCIENCE #Materials #Science #Chemistry #PDE #Biology
Bravo, congratulations Dr Bhatt!
I successfully defended my PhD thesis today 🎉 Many thanks to my examiners, @erichorvitz and @lawrennd, for their thoughtful comments and a very fun viva!
My supervisor Rich Turner has written an introduction to transformers. I highly recommend anyone wanting to learn (more) about transformers to take a look, it is precise and concise at the same time. arxiv.org/abs/2304.10557
New blog post: "Boogeyman Diplomacy" My Halloween thoughts (and hopes) for the UK AI Summit. inverseprobability.com/2023/10/31/ai-…
And a video with @k_neklyudov about "Action Matching: Learning Stochastic Dynamics from Samples"! youtube.com/watch?v=AdesAB…
Fantastic two days of activities around the Hopes and Fears lab, thanks to @EthicsSciPublic and @AccelerateSci for pulling this together and lots of AI experts for joining in. But thanks even more everyone who joined from the public to share their thoughts!
What a great two days talking about AI here in Cambridge! Great conversations with members of the public and some fascinating discussions and creative engagement about our #AIhopesandfears @EthicsSciPublic @AISummitFringe @Cambridge_Uni
We are recruiting four career development fellowships (2x 2year, 2x 5year) in Machine Learning or Statistics at @OxfordStats. These are independent posts with half teaching loads. I can strongly recommend them from personal experience Details and apply: tinyurl.com/fnoxfrod
With my supervisor joining @UniofOxford, I will be in Oxford as a visiting researcher most Tuesdays and Wednesdays, while continuing my PhD at Imperial College in London—the best of both worlds! I am excited to meet amazing researchers here and attend seminars and reading groups.…
I'm excited to share that I have joined the Dept of CS at the University of Oxford as an Associate Professor, to continue research in Machine Learning! I'm looking forward to new collaborations in Oxford, as well as continuing great existing ones with Imperial colleagues.👇🧵
I'm super excited to share a new initiative I am a part of! Announcing: Polymathic AI 🎉 We are developing foundation models for scientific *data*, such that they can leverage shared concepts across disciplines. polymathic-ai.org 1/6
Accepting Cambridge PhD applications for ML in 2024, see mlg.eng.cam.ac.uk/adrian under News for deadlines and general information. Women and underrepresented minorities are welcome to apply. For US citizens applying from the US, apply by Oct 11 to be eligible for Gates funding.
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