Sara Magliacane (she/her) @saramagliacane
Assistant professor @AmlabUva @UvA_Amsterdam & Research Scientist @MITIBMLab , #causality #CausalRepresentationLearning #causalityInspiredML, 🇮🇹🇸🇮 in 🇳🇱 saramagliacane.github.io Amsterdam, Netherlands Joined November 2010-
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Introducing our speakers for Causal and Object-centric Representations for Robotics (CORR) CVPR Workshop. We are so excited to have Sara Magliacane (@saramagliacane), Joao F. Henriques and Rares Ambrus (@RaresAmbrus) at our workshop!! 🧵1/4
Introducing our speakers for Causal and Object-centric Representations for Robotics (CORR) CVPR Workshop. We are so excited to have Sara Magliacane (@saramagliacane), Joao F. Henriques and Rares Ambrus (@RaresAmbrus) at our workshop!! 🧵1/4 https://t.co/6mRDk7dho1
✨ 4th Amsterdam Causality Meeting is today 🎉 📅 22/04 ⏰ 14:30 📍 VU Ams (NU-3A57) 🚀Hessel Peters-Sengers (AUMC): ICU-acquired complications 🚀Richard Post (TU/e): Flexible Machine Learning Estimation of Conditional Average Treatment Effects 👀 amscausality.github.io/upcoming/
Happy to announce the 2nd edition of the workshop on causal inference for time series data @UncertaintyInAI in June this year, co-organized by @oanaucs, @JonasChoice @runge_jakob, @huang_biwei, myself and others! The workshop includes a call for papers 👉🏻 sites.google.com/view/ci4ts2024…
Attending @Conf_CLeaR ?🧐 Join session IV.1 at 2pm (11pm CET): I will present our recent work "Towards the Reusability and Compositionality of Causal Representations" Thanks to coauthors: @phillip_lippe @sttujames @alessiodelbue @saramagliacane Arxiv: arxiv.org/abs/2403.09830
Along with our new tutorials (uvadlc-notebooks.readthedocs.io/en/latest/tuto…), we organize a lecture on the topic! Feel free to join, also if you’re new to JAX
Along with our new tutorials (uvadlc-notebooks.readthedocs.io/en/latest/tuto…), we organize a lecture on the topic! Feel free to join, also if you’re new to JAX
The amazing tutorials that explain how to train large models at scale 🔥🚀 @phillip_lippe will present them in a tutorial on March 11th, see the details at thedeepthinkinghour.github.io
The amazing tutorials that explain how to train large models at scale 🔥🚀 @phillip_lippe will present them in a tutorial on March 11th, see the details at thedeepthinkinghour.github.io
The second talk is by Philip Boeken (@UvA_Amsterdam) on "A Markov property for sample paths of stochastic processes" #causality #dynamicalsystems
The second talk is by Philip Boeken (@UvA_Amsterdam) on "A Markov property for sample paths of stochastic processes" #causality #dynamicalsystems https://t.co/d3yYMPT1oS
We start the third Amsterdam Causality Meeting with Mirthe van Diepen (Radboud University) talking about the challenges of learning #causal graphs in real-world settings, focusing on the case of aortic surgery 🫀
We start the third Amsterdam Causality Meeting with Mirthe van Diepen (Radboud University) talking about the challenges of learning #causal graphs in real-world settings, focusing on the case of aortic surgery 🫀 https://t.co/D7XCLlKH72
Reminder, deadline is on March 11 (less than two weeks)!
Reminder, deadline is on March 11 (less than two weeks)!
The Amsterdam causality meeting is today! Don’t miss it 💥
The Amsterdam causality meeting is today! Don’t miss it 💥
This week at CARE we have @phillip_lippe talking about BISCUIT (with @saramagliacane, @sindy_loewe, Yuki Asano, @TacoCohen & @egavves), which is both an cool method and has the best empirical results that I’ve seen in a CRL paper. portal.valencelabs.com/events/post/bi…
ICLR 2024 Volunteer Applications open until March 15. Visit iclr.cc - link available under Announcements
Excited to share our new work at #npjSBA : AutoTransOP, a neural network autoencoder framework enabling omics profile translation between species or cellular contexts, with no orthologue requirements: nature.com/articles/s4154… (link @ end!) 👇(1/2)
We're hiring at Qualcomm AI Research Amsterdam. Are you interested in... - a great team - ML research from fundamental to applied - opportunities to write papers, build demos, and affect real products - a shiny new office in an extraordinary city? 1/2
I'll be giving an invited talk about "Nonparametric Causal Representation Learning from Multiple Environments" at the CRL Workshop @crl_neurips2023 at 16:00 in Room 243-245.
I'll be giving an invited talk about "Nonparametric Causal Representation Learning from Multiple Environments" at the CRL Workshop @crl_neurips2023 at 16:00 in Room 243-245.
Sindy Löwe @sindy_loewe
3K Followers 360 Following PhD Student with @WellingMax at the University of Amsterdam. Deep Learning with Structured Representations.Max Welling @wellingmax
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482 Followers 981 Following Currently PhD @UTCompSci. Previously, @MetaAI, CS/Robotics @CMU_Robotics. Former Research Intern @NVIDIAAI @Uber_ATG, @ETH_enCORR Workshop | CVPR .. @CORR_CVPR2024
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4K Followers 846 Following causal ml; ai+society; social media, comp social science. having fun. sr principal researcher @MSFTResearch. my opinions. he/him. https://t.co/xrYFOeNhaCNeurIPS 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].antonio vergari 💥 .. @tetraduzione
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42K Followers 334 Following Research Scientist at Google Brain / Deepmind. Interested in Bayesian Machine Learning.Ferenc 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 @BaldertonThomas G. Dietterich @tdietterich
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19 Followers 38 Following Postdoc researcher at Amsterdam UMC with focus on kidney failure and infectious diseasesPriyam Parashar @priyam8parashar
333 Followers 369 Following A roboticist and a researcher @ Meta AI. I enjoy music, reading for pain and leisure, and writing stuff once in a while.Ivan Rubachev @irubachev
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9 Followers 13 FollowingRobbert Dijkgraaf @RHDijkgraaf
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357 Followers 7 Following Professor of Statistics, EECS and Comp. Bio. at UC BerkeleyJiaqi Zhang @JiaqiZhangVic
44 Followers 30 Following PhD @MIT. Works on Causality, Experimental Design & Genomics.NikosMeimetis @MeimetisNikos
43 Followers 72 Following Ph.D student in Biological Engineering at MIT. Interested in Bioengineering, Systems Biology, Bioinformatics and science in general.Eli Weinstein @EliWeinstein6
578 Followers 676 Following Postdoc at Columbia in @blei_lab // @jura_bio // statistics, biophysics, machine learningDTAI @DTAI_KULeuven
1K Followers 187 Following Declarative Languages and Artificial Intelligence Research Group @CW_KULeuven @KU_LeuvenLuca Pantea @luca_pantea
18 Followers 92 Following MSc Artificial Intelligence @UvA_Amsterdam | Student Intern @AmlabUva | @ELLISforEurope Student In love with AI, travel and coffeeJaron Maene @jjcmoon
49 Followers 214 Following PhD Machine Learning @KU_Leuven | Neurosymbolic AI, Probabilistic ReasoningAmirhossein Habibian @amir_habibian
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21 Followers 186 Following PhD candidate @UvA_Amsterdam @ELLISforEuropeValentyn Melnychuk �.. @valik_melnychuk
71 Followers 173 Following PhD Candidate at Institute of AI in Management, LMU MunichPaolo Morettin @paolo_morettin
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3K Followers 55 Following Founding Head, Yardi School of Artificial Intelligence at IIT Delhi. AI (NLP, ML, MDP) Researcher. Indian Classical Music aficionado.David Bellamy @DavidRBellamy
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411 Followers 816 Following Interested in causality. PhD student at SFU. ISFJ.Lisa Alazraki @LisaAlazraki
651 Followers 791 Following #ML & #NLProc PhD student @ImperialCollege. Prev. research intern @GoogleAI. Reasoning, planning & LLMs as agents. Reposted papers are my reading list 📚Chirag Agarwal @_cagarwal
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616 Followers 359 Following Assist. Prof in Computer Vision/Machine Learning/Retrieval/Digital Humanities (@Durham_Uni, @IITtalk,@UCL, @UCLDH, @ITI_LARSYS). (Trail) Runner and pup ownerDingling Yao @Dingling_Yao
66 Followers 92 FollowingAngelos Nalmpantis @AngelosNal
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22 Followers 94 Following Causality, Machine Learning | PhD Student @UCSD Previously MSE @PennJoanna Klopotowska @JEKlopotowska
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662 Followers 2K Following Exploring TechBio @valence_ai | 🏗️ community at https://t.co/zrM2lf8bQCcasey @casey_dugan
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103 Followers 95 Following PhD student @MPI_IS on representation learning, causality and information theory // Msc&Bsc Math&Stat @ENS_ParisSaclayShayan Shirahmad @causaldeep
8 Followers 118 Following PhD student at the University of Waterloo interested in causal inference, deep learning models, and autonomous vehicles.Gonçalo Faria @goncalorafaria
54 Followers 234 Following nlp, bayesian deep learning, deep generative modeling, causal discoveryGiambattista 'Gb' Par.. @giambattista92
2K Followers 445 Following Reasoning about reasoning to understand understanding Research scientist at @OpenAI ML PhD @MPI_IS & @ETH Zurich Prev also @DeepMind and Google XOSINTdefender @sentdefender
1.1M Followers 792 Following Open Source Intelligence Monitor focused on Europe and Conflicts across the World. RT ≠ Endorsement. Want to Support my Work? https://t.co/PcUbewvWPrDanny Eytan @DannyEytan
98 Followers 462 FollowingBar Eini-Porat @BarEini
25 Followers 42 FollowingFloor Eijkelboom @FEijkelboom
218 Followers 142 Following PhD candidate @UvA_Amsterdam | deep learning for (quantum) physics 🦭(((ل()(ل() 'yoav))).. @yoavgo
46K Followers 2K Followingkhalid @k_saifullaah
3K Followers 1K Following cs phd student @umdcs. cinephile🎞️, mostly into ai research🧠, visualization🎨, photography📷. prev: ai research @adobe, @deltanalytics fellow 🇧🇩Rachel Riley MBE 💙 @RachelRileyRR
688K Followers 2K Following Proud maths geek off the telly. MBE - Services to Holocaust Education. @CCDHate Ambassador. Baby spam spreader. Author of ‘At Sixes and Sevens’My 2024 #ReinforcementLearning course at ASU has been completed. Slides, videolectures, supporting material, and PDF of my new 440-page textbook “A Course in Reinforcement Learning”, can be found at web.mit.edu/dimitrib/www/R…
Last week I gave my lecture on Parameter-Efficient Finetuning (PEFT) at the @UvA_IvI MSc in AI - Foundation Models course! Find the slides here: dropbox.com/scl/fi/gngd55q… and the rest of our course with @cgmsnoek: uvafomo.github.io
✨ 4th Amsterdam Causality Meeting is today 🎉 📅 22/04 ⏰ 14:30 📍 VU Ams (NU-3A57) 🚀Hessel Peters-Sengers (AUMC): ICU-acquired complications 🚀Richard Post (TU/e): Flexible Machine Learning Estimation of Conditional Average Treatment Effects 👀 amscausality.github.io/upcoming/
At the upcoming Computational Linguistics Seminar, Paul Röttger, @Unibocconi will cover the topic of ‘Evaluating Values and Opinions in Large Language Models’🚀 ✨ 📆Thu 25/04/24 ⏰16:00 📍L3.33 at @Lab42UvA plus live streaming on Zoom 🔗 projects.illc.uva.nl/LaCo/CLS/
@saramagliacane is Asst Prof. in @AmlabUva at @UvA_Amsterdam and a Research Scientist at @MITIBMLab. Her focus is along 3 axes: causal representation learning, causality-inspired machine learning and how causality helps RL adapt to new domains and nonstationarity faster. 🧵2/4
Introducing our speakers for Causal and Object-centric Representations for Robotics (CORR) CVPR Workshop. We are so excited to have Sara Magliacane (@saramagliacane), Joao F. Henriques and Rares Ambrus (@RaresAmbrus) at our workshop!! 🧵1/4
📢 We are excited to introduce Thomas Kipf (@tkipf), Animesh Garg (@animesh_garg), and Sungjin Ahn (@SungjinAhn_) as the first three speakers of the Causal and Object-Centric Representations for Robotics (CORR) CVPR workshop. corrworkshop.github.io 🧵 1/5
@mmbronstein wait but that's not Bari
Most beautiful city in the world
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.
Our new youTube channel: youtube.com/playlist?list=… Comments welcome!
I thought this was funny first… now I’m thinking about writing a thread about how research papers (which should first be out there to communicate new findings and to share knowledge with your community) being used as a pseudo metric for various performance measures where your…
The NeurIPS high school track has made its way to Chinese social media. The collaborator who sent me this said there is at least one example of a professor asking their PhD student to help write a paper for one of their kids so that it can help their college admissions abroad.
@adamhowes @victorveitch Imo contests are qualitatively different because they are constructed. Like the problems are created with a purpose and are at an appropriate level to be done in the timespan of the contest. Doing research is not at all like that!
This strikes me as yet another avenue for high schoolers to do pointless work in an effort to get ahead in a 0 sum status game. This kind of thing should be strongly discouraged.
still thinking about this talk on the train home. especially Zack’s call to dig into a specific, real example. as Zack is doing. (and as I get to do with blue rose.)
Headed to the Netherlands to give a keynote at Utrecht symposium on ML & explainability bringing together ML and PhilSci scholars. Who's around & what's happening in Amsterdam this weekend? ✈️🤖🎷🍾
@zacharylipton Hi @zacharylipton, is the symposium today or on Friday? Unfortunately I didn't know about it earlier, so I won't be able to attend. But you'd be very welcome to drop by the University of Amsterdam for a chat with @Hidde_Fokkema and me if you're going to Amsterdam anyway.
This was an outstanding and inspiring lecture by @davidwromero ! If you want to get up to speed with SSMs / long-conv models (CKConv, Hyena, Mamba, etc) —which beat transformers, please watch back the recordings! My take-home as usual is: convolution is all you need! 🙃
I am very happy to give this tutorial next week! We will discuss several developments on sub-quadratic long-context architectures such as SSMs, CKConv, Hyena and Mamba. Thank you @Ellis_Amsterdam for having me!
Happy to announce the 2nd edition of the workshop on causal inference for time series data @UncertaintyInAI in June this year, co-organized by @oanaucs, @JonasChoice @runge_jakob, @huang_biwei, myself and others! The workshop includes a call for papers 👉🏻 sites.google.com/view/ci4ts2024…
Let’s face it… Just because you don’t know what’s in your training data, you can not just call it zero-shot 🤷♀️ 1) We just relabeled the old concept of zero-shot learning from attributes to “I have not checked my training data “ resp. “ I have not seen the dataset” (and even…
So much for emergent magic. If VCs understood the significance of this paper, they would make radically different choices. It really is driverless cars all over again.