@adelehr

Passionate researcher focused on causal inference and its applications to biomedical data. @Heiderlab #Causality #StatisticalGenetics

 Düsseldorf, Germany
adele.github.io/
Joined September 2009
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🔥 Five days left to submit your work to our causality workshop at #UAI2025! 🇧🇷 You bring the paper, we bring world-class keynote speakers, and Rio brings the iconic Copacabana Beach. What more could you ask for? ⚠️ Extended Deadline — May 28th! 👉 sites.google.com/view/car-25…
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Got a great causality-related idea? 🇧🇷 Don’t miss the chance to present your work in Rio for the CAR Workshop at #uai2025! 🔥 We welcome works in causal abstraction, representation learning, clustered graphs, and more! 🗓️ Deadline: May 26, 2025
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Why Submit? - Get valuable feedback on work-in-progress from experts in causality & AI - Accepted papers will be presented as posters, with some selected for contributed talks. Important Dates: - Submission Deadline: May 26, 2025 (AoE) - Workshop Date: July 25, 2025
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Call for Papers – CAR Workshop @UncertaintyInAI in Rio de Janeiro, Brazil 🇧🇷 #uai2025 Are you pushing the boundaries of causal abstractions, causal representation learning, or clustered causal graphs? Submit to CAR 2025! Deadline: May 26, 2025 sites.google.com/view/car-25…

sites.google.com

Causal Abstractions and Representations Workshop @ UAI 2025 July 25th 2025, Rio de Janeiro 🇧🇷

sites.google.com
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Amazing #LxMLS so far, with great talks by @mariotelfig @nlpnoah Slav Petrov @kchonyc! After the banquet and a free day to explore Lisbon, looking forward now to the next 3 days, with @danqi_chen @sarahookr Desmond Elliot @mohitban47 @adelehr @_albertgu.
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We are happy to announce that ESSAI 2024 registrations are open. essai2024.di.uoa.gr/registra… The early registration phase is available until June 16th!!! @EurAI_ECCAI, @eu_tailor, @ArchimedesUnit, @NCSR_Demokritos, @EETN_gr, @ecai2024, @RealAAAI
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Adèle Ribeiro retweeted
CLARIN ERIC@CLARINERIC14 May 2024
💡 Registration is now open for ESSAI (European Summer School on Artificial Intelligence) and ACAI (Advanced Course on Artificial Intelligence) 2024 in Athens, Greece! 📅 15 July - 26 July 🔗 Learn more via this link: essai2024.di.uoa.gr/index.ht…
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European Summer School on Artificial Intelligence (ESSAI&ACAI 2024) - Call for participation essai2024.di.uoa.gr
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📢 Applications are open for #ProbAI on 17-21 June, 2024! We will cover topics on probalistic models, variational approximations, deep generative models, latent variable models, normalizing flows, neural ODEs, probalistic programming, and much more. nordic.probabilistic.ai/

ProbAI — 2025 - Nordic Probabilistic AI School

nordic.probabilistic.ai
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We're hosting the Tropical ProbAI school @FGV Jan 29-Feb 2, in Rio de Janeiro. Good news: applications are still open. This year, we'll have lectures & talks from the exceptional @vmansinghka @D_Bouchacourt @adelehr @HelgeLangseth @ZennaTavares + more tropical.probabilistic.ai
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Adèle Ribeiro retweeted
Tyler Hayes@TylerLHayes30 Nov 2023
🚨 Consider submitting to our AAAI 24 bridge program on Continual Causality by December 3! Submission ideas👇: ✨general visions to link the fields ✨outline challenges ✨highlight synergies ✨propose future steps ✨discuss approaches and solutions Web: continualcausality.org
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Adèle Ribeiro retweeted
Martin Mundt@mundt_martin25 Oct 2023
Our #AAAI24 #continual #causality bridge is now open for paper submissions until Nov 24th AOE! Share your ideas & join us in bringing continual learning & causality together in this 2 day event on Feb 20+21: continualcausality.org Ready to start right away? Join our Slack👆
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Adèle Ribeiro retweeted
ELLIS@ELLISforEurope19 Apr 2023
Three days of stimulating talks, poster sessions & discussions: Our joint ELLIS-CIFAR workshop on Causal Representation Learning @MPI_IS in Tübingen is coming to an end today. Thanks to the amazing researchers who joined it! We're looking forward to a repetition! @CIFAR_News
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Replying to @yudapearl @AJAveritt
Work can be found here! (scholar.google.com/citations…) Highlighting my recent paper with @eliasbareinboim on effect identification in C-DAGS (arxiv.org/abs/2202.12263) @ AAAI 2023. I’m broadly working on ways to make existing theory more usable for applications in medicine

Tara Vafai Anand

Columbia University - Cited by 192 - Biomedical Informatics - Causal Inference

scholar.google.com
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Looking forward for the next edition of the Probabilistic AI School, in Trondheim back in Trondheim, Norway. Check the program and application process! – at Rio de Janeiro, Brazil
ProbAI = Probabilistic AI ✌️@probabilisticai1 Feb 2023
ProbAI 2023 applications are now open! Join us on June 12-16 in Trondheim 🇳🇴. → probabilistic.ai #ProbabilisticAI #ProbAI
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ProbAI 2023 applications are now open! Join us on June 12-16 in Trondheim 🇳🇴. → probabilistic.ai #ProbabilisticAI #ProbAI
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Adèle Ribeiro retweeted
Martin Mundt@mundt_martin13 Jan 2023
Ready to bridge #ContinualLearning & #Causality? We are pleased to share the full set of amazing speakers, panelists, software labs, tutorials & accepted papers for our #AAAI23 @RealAAAI 2-day Continual Causality Bridge - Feb 7+8: continualcausality.org A 🧵with details ⬇️
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I still have openings. If you're interested and want to meet in person, I'll be in new orleans for #NeurIPS. Just ping me
Diego Mesquita@wkly_infrmtive12 Oct 2022
I'm looking for post-docs to work with me @fgv_emap on different topics within machine learning (e.g., graph representation learning, physics-informed neural networks, generative modeling, Gaussian processes, and federated/distributed learning). 1/2
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Adèle Ribeiro retweeted
Martin Mundt@mundt_martin19 Nov 2022
Deadline Extension - Continual Causality Bridge AAAI23! Following several requests, we have decided to move the submission deadline to 22nd November AOE to upload your 2 page vision/position papers on linking continual learning & causality: continualcausality.org/cfp/ 🙏for RTs!
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Adèle Ribeiro retweeted
Martin Mundt@mundt_martin18 Nov 2022
A bit more than 24 hours left to submit to the Continual Causality #AAAI23 @RealAAAI bride! Submit your two page position/vision paper to discuss ideas, prospects, challenges etc. on how continual learning and causality can be linked: continualcausality.org @ContinualAI
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