Patrik Reizinger
@rpatrik96
🇭🇺 🇪🇺PhD @uni_tue, IMPRS-IS @MPI_IS, @ELLISforEurope, understanding why neural nets generalize | ex- @VectorInst | path2phd.substack.com
ID: 957780781757235200
http://rpatrik96.github.io/ 29-01-2018 01:01:47
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1,1K Followers
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Krikamol (Hiring Postdoc)
@krikamol
Chief Scientist/Faculty at Rational Intelligence Lab @CISPA; Chief Research Officer (CRO) @ Cifer.AI; Previously @MPI_IS, @MahidolU, @uclcs, @GatsbyUCL.
Broad Institute
@broadinstitute
A multidisciplinary community of researchers on a mission to improve human health.
Dan Roy
@roydanroy
ML / AI researcher. Research Director and Canada CIFAR AI Chair, @VectorInst. Professor, @UofT (Statistics/CS).
Yann LeCun
@ylecun
Professor at NYU. Chief AI Scientist at Meta. Researcher in AI, Machine Learning, Robotics, etc. ACM Turing Award Laureate.
Jason Hartford
@jasonhartford
Dame Kathleen Ollerenshaw Fellow at @csmcr; Member of @ELLISforEurope; Research Unit Lead for the causality unit at @valence_ai. South African 🇿🇦
Gautam Kamath
@thegautamkamath
Assistant Prof of CS @UWaterloo, Faculty @VectorInst, Canada @CIFAR_News AI Chair. Co-EiC @TmlrOrg. I lead @TheSalonML. Privacy, robustness, machine learning.
Barna Pásztor
@pasztorb
Doctoral Fellow @ETH_AI_Center | Multi-Agent Reinforcement Learning | Social Dilemmas | Cooperative AI
Naomi Saphra hiring a lab 🧈🪰
@nsaphra
Waiting on a robot body. All opinions are universal and held by both employers and family. Incoming @bu_cds faculty looking for students. ML/NLP/they/she.
Sara Magliacane (she/her)
@saramagliacane
Assistant prof @AmlabUvA Amsterdam | ELLIS scholar | #causality #causalML anything #causal | 🇮🇹🇸🇮 in 🇳🇱 | #UAI2025 program chair | @smaglia.bsky.social
Nouha Dziri
@nouhadziri
Research Scientist @allen_ai, PhD in NLP 🤖 UofA. Ex @GoogleDeepMind @MSFTResearch @MilaQuebec 🚨🚨 NEW BLOG about LLMs reasoning: shorturl.at/FEWKm
Ahmed Alaa
@_ahmedmalaa
Assistant Professor @UCBerkeley + @UCSF, @berkeley_ai Prev @broadinstitute, @MIT, @UCLA, @Cambridge_Uni, @UniofOxford. Machine Learning & AI for Healthcare.
Melanie Mitchell
@melmitchell1
Professor, Santa Fe Institute. Mostly posting on bsky.app (at-melaniemitchell). More thoughts at aiguide.substack.com.
Ferenc Huszár
@fhuszar
Secular Bayesian. Professor of Machine Learning @Cambridge_CL. Talent aficionado at airetreat.org Alum of @Twitter, Magic Pony and @Balderton
Joshua Batson
@thebasepoint
trying to understand evolved systems (🖥 and 🧬) interpretability research @anthropicai formerly @czbiohub, @mit math
David Sinclair
@davidasinclair
Professor @Harvard researching why we age & how to reverse it. Author & host of Lifespan. Mission: Extend healthy life for all. Views are entirely his own 🙏✌️
Kording Lab 🦖
@kordinglab
Konrad kording, @Penn Prof, deep learning, brains, #causality, rigor, neuromatch.io, c4r.io, Transdisciplinary optimist, Dad, Loves outdoors, 🦖
Petar Veličković
@petarv_93
Senior Staff Research Scientist @GoogleDeepMind | Affiliated Lecturer @Cambridge_Uni | Assoc @clarehall_cam | GDL Scholar @ELLISforEurope. Monoids. 🇷🇸🇲🇪🇧🇦
Falco J. Bargagli Stoffi
@falcobargagli
Assistant Professor @UCLA Causal inference ⋂ machine learning ∧ (Health + Social) * Science 🇪🇺🇮🇹🇺🇲
Taco Cohen
@tacocohen
Deep learner at FAIR. Into codegen, RL, equivariance, generative models. Spent time at Qualcomm, Scyfer (acquired), UvA, Deepmind, OpenAI.
Victor Veitch 🔸
@victorveitch
AI | University of Chicago / Google DeepMind
Nina Miolane 🦋 @ninamiolane.bsky.social
@ninamiolane
Assis. Prof. @ucsbece Prev @Stanford @Inria @imperialcollege @Polytechnique PI @geometric_intel gi.ece.ucsb.edu, @ninamiolane.bsky.social, Pilot
Oleg Rybkin
@_oleh
🇺🇦 Postdoc @ Berkeley. Interested in RL at scale.
Andrew Akbashev
@andrew_akbashev
Scientist (PI). Doing fundamental research in #Materials and #Electrochemistry. Leading a little group in Switzerland. Ex-Stanford. Run a Podcast (on Youtube).
David Roche
@mountainroche
Coach of runners on the trails, roads & track 🦖 Leadville 100 Mile course record holder 🧡 Check out the Some Work All Play podcast!
Andrew Gordon Wilson
@andrewgwils
Machine Learning Professor
Micah Goldblum
@micahgoldblum
🤖Prof at Columbia University 🏙️. All things machine learning.🤖
Aaron Mueller
@amuuueller
Postdoc with @boknilev/@davidbau ≡ Incoming Asst. Prof. in CS at @BU_Tweets ≡ Interested in #NLProc, interpretability, and evaluation ≡ Formerly: PhD @jhuclsp
Noémi Éltető
@eltetonoemi
working on thesis (stealth mode); AI-like human interested in human-like AI; PhD student @MPICybernetics 🇩🇪|🇬🇧; previously SR @DeepMind; made in 🇭🇺&🇷🇴
Shruti Joshi
@_shruti_joshi_
phd student in identifiable repl @Mila_Quebec. prev. research programmer @MPI_IS Tübingen, undergrad @IITKanpur '19.
Tycho van der Ouderaa
@tychovdo
Postgraduate researcher (PhD) at Imperial College London and visiting researcher at the University of Oxford. ML & AI.
Tom McCoy
@rtommccoy
Assistant professor @YaleLinguistics. Studying computational linguistics, cognitive science, and AI. He/him.
Julius von Kügelgen
@jkugelgen
Postdoc with Jonas Peters at ETH. Interested in causal inference and machine learning. PhD from @MPI_IS and @CambridgeMLG. Banner credit: @xkcd.
Karsten Roth
@confusezius
Large Models × {Lifelong, Data-Centric, Transfer}-Learning | PhD @ELLISforEurope 🇪🇺 w/ @zeynepakata & @OriolVinyalsML. Prev DeepMind, FAIR, AWS, Vector, Mila
ELLIS
@ellisforeurope
Strengthening Europe's Leadership in AI | ellis.eu
Dimitri Meunier
@dimitrimeunier1
4th year PhD @GatsbyUCL
Dhanya Sridhar
@dhanya_sridhar
Assistant professor @UMontrealDIRO and @Mila_Quebec and Canada CIFAR AI Chair. Causality and machine learning.
Burak Varıcı
@variciburak
Postdoc at @mldcmu / PhD at @rpi / 🇹🇷 /~burakvarici at Bluesky
Biwei Huang
@huang_biwei
Assistant Professor at @HDSIUCSD @UCSanDiego (research on Causal Discovery and Inference, Causality-Empowered ML/AI, and Computational Science)
Learning Theory Alliance
@let4all
Together we will build the future of the machine learning theory research community!
Kasra Jalaldoust
@causalkasra
CS PhD student at @Columbia; interested in generalizability in ML & causal inference.
Matej Zečević
@matej_zecevic
Please feel invited to visit matej-zecevic.de for open-access articles on various topics and discuss.causality.link for weekly sessions on causality for AI/ML.
Reza Bayat
@reza_byt
Student at @Mila_Quebec
Emanuele Marconato
@ema_marconato
National PhD student in Artificial Intelligence at @Unipisa and @UniTrento_DISI. Past MSc at @unito and visiting student at Clarendon Lab in @UniofOxford.
Seohong Park
@seohong_park
Reinforcement learning | CS Ph.D. student @berkeley_ai
Eero Simoncelli
@eerosimoncelli
Professor at NYU; Scientific Director, Ctr for Computational Neurocience, Flatiron Institute. Research in Computational Vision (neurons, perception, machines).
Symmetry and Geometry in Neural Representations
@neur_reps
NeurIPS workshop and digital community | 🌐 geometry, algebra, topology + 🤖 deep learning + 🧠 neuroscience | Join us on slack! tinyurl.com/nr-slack
Eric and Wendy Schmidt Center
@schmidt_center
We seek to understand the programs of life by creating a strong community at the interface of machine learning and biology. Mailing list: bit.ly/ewsc-list
Szilvia Ujváry
@szilviaujvary
🇭🇺 PhD Student in ML with @Cambridge_Uni. Working on understanding LLMs and information theory.
Kempner Institute at Harvard University
@kempnerinst
The Kempner Institute for the Study of Natural and Artificial Intelligence at @Harvard University. RTs ≠ Endorsements
Kiho Park
@kihopark_
@UChicago Stat PhD student advised by @victorveitch
A. Sophia Koepke
@asophiakoepke
Junior group leader @TU_Muenchen | @uni_tue. Previously @Oxford_VGG @berkeley_ai. Interested in multi-modal learning.
Chaihub
@chaihubuk
The Causality in Healthcare AI Hub (CHAI). Where next-gen AI is developed addressing societal needs on real data.
California Institute for Machine Consciousness
@cimcai
Scientific Methods for Understanding Deep Learning
@scifordl
Workshop @ NeurIPS 2024. Using controlled experiments to test hypotheses about the inner workings of deep networks.
Google DeepMind
@googledeepmind
We’re a team of scientists, engineers, ethicists and more, committed to solving intelligence, to advance science and benefit humanity.
Sébastien Lachapelle
@seblachap
Research Scientist at SAIL Montreal (Samsung) interested in causality and identifiable representation learning. PhD from @Mila_Quebec, @UMontrealDIRO
Yifei Wang
@yifeiwang77
Postdoc @MIT_CSAIL. Self-supervised learning. Foundation Models. AI Safety. Prior BS+BA+PhD @PKU1898. On faculty & industry market now -- DM if interested!
David Klindt
@klindt_david
NeuroAI | assistant professor @CSHL | views my own
Flatiron Institute
@flatironinst
Advancing scientific research through computational methods and software tools. Centers: #FlatironCCA, #FlatironCCB, #FlatironCCM, #FlatironCCN and #FlatironCCQ
Aniket Didolkar
@aniket_d98
Research @AIatMeta @Mila_Quebec
Eric Elmoznino
@ericelmoznino
PhD student at Mila interested in AI, cognitive neuroscience, and consciousness
Vector Institute
@vectorinst
The Vector Institute is dedicated to AI, excelling in machine & deep learning research. AI-generated content will be disclosed. FR: @InstitutVecteur
Chandler Squires
@chandlersquires
postdoc @ cmu. previously phd @ mit. wannabe philosopher, working on foundations for “pragmatic data science”, with a focus on all things causal.
Simons Institute for the Theory of Computing
@simonsinstitute
The world's leading venue for collaborative research in theoretical computer science. Follow us at YouTube.com/SimonsInstitute.
Sindy Löwe
@sindy_loewe
ML Scientist @cusp_ai | Innovating for a greener future 🌱
Sergey Levine
@svlevine
Associate Professor at UC Berkeley Co-founder, Physical Intelligence
Stephen Bates
@stats_stephen
Assistant Professor, MIT EECS. Rigorous stats & ML methods for data-driven science and reliable AI systems. My research group is hiring postdocs & PhDs!
Mila - Institut québécois d'IA
@mila_quebec
Le plus grand centre de recherche universitaire en apprentissage profond. The largest academic research center in deep learning. 🦋@mila-quebec.bsky.social