Charles Assaad
@ckassaad
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Junior professor chair @Inserm @Sorbonne_Univ_ | Head of the CIPHOD team
Paris, France
Joined July 2012
Congratulations to @LeiZAN12 for successfully defending his PhD! 🎉 Lei was the first PhD I co-supervised (with Eric Gaussier and Emilie Devijver), and I couldn’t be prouder of his achievement. Lei had many contributions that made causal discovery applicable in IT monitoring!
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RT @dabystrova: Great talks and discussions! Huge thanks to the organizers for hosting such a wonderful event and making it accessible via…
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Andreas Gerhardus, @JonasChoice, and @oanaucs opening the second edition of the causal inference for time series workshop @UncertaintyInAI in Barcelona 🇪🇸 For more details about the workshop 👉🏻
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Honored to be selected for the second year in a row as one of the Top Reviewers @UncertaintyInAI ! This year, 50 top reviewers were chosen out of ~750 as reviewers. Congratulations to all who made the list! For the full list, check the following link:
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Excited to share that our paper, "Identifiability of Total Effects from Abstractions of Time Series Causal Graphs," has been accepted to @UncertaintyInAI! 🎉 If you're attending #UAI2024, stop by my poster tomorrow. Can't make it? Check it out online:
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🚨 Job alert - PhD in Federated causal discovery and causal representation in a high dimensional setting with applications to epidemiology 🚨 👉 Description: 👉 Deadline: June 13th #causality #AI #epidemiology #health #phd @Inserm @Sorbonne_Univ_
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We presented hybrid methods that combine principles from both constraint-based and noise-based methods, offering greater robustness to assumption violations. Our experimental results highlight the effectiveness of these hybrid methods across a diverse range of datasets. 2/2
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RT @runge_jakob: Contribute to the 2nd workshop on causal inference for time series at UAI, this year on July 19 in Barcelona! Deadline for…
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Exciting news!! The list of confirmed speakers for the upcoming second edition of the workshop on causal inference for time series data @UncertaintyInAI includes Gustau Camps-Valls, @_MiguelHernan, @saramagliacane, Christian Reimers, @JurajBodik, and Christine Winther Bang.
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RT @UncertaintyInAI: We have three amazing workshops lined up in #UAI2024 this summer. The 9th Causal Inference Workshop at UAI https://t.…
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@musfiq_shohan @Inserm @Sorbonne_Univ_ Hi, Unfortunately, I won’t be able to consider a remote internship for this proposal.
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RT @runge_jakob: 3/3 Another highlight: A decision diagram to find the right approach for your problem. Great joint work with Andreas Gerha…
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RT @runge_jakob: 1/3 Just published @NatRevEarthEnv A guide to #causalinference for time series: Phrase your probl…
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RT @SimonMFerreira: Very excited to have our paper "Identifiability of Direct Effects from Summary Causal Graphs" accepted at #aaai2024.…
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