
MODE_Collaboration
@MODECollaborat1
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Official account of the MODE (Machine-learning Optimized Design of Experiments) JENAS EoI #3
Joined September 2020
RT @pietrovischia: The first workshop of @MODECollaborat1 has just ended! Three intense and extremely interesting days of talks and extensi….
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RT @pietrovischia: Misha Belkin at MODE Workshop @MODECollaborat1, showing blobs with size scaling with number of model parameters. Finger….
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We begun! Find our exciting agenda at !!!.
indico.cern.ch
Registrations are now closed. In case of issues please contact Dr. Pietro Vischia at the email address below. Overview of the sessions: Opening lecture: Atilim Gunes Baydin (University of Oxford):...
The first MODE workshop on automatic differentiation for experiment design has begun! Introductory lecture by @atilimgunes !
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The agenda is now fully online at ! Take a look at our exciting list of speakers and topics, and register if you are interested in following the workshop! Last few available places in person, unlimited places online!.
We are happy to announce the First MODE Workshop on Differentiable Programming for Experiment Design, taking place in hybrid form in Louvain-la-Neuve (BE) on Sep. 6--8th 2021!!! Keynotes by Misha Belkin and @apaszke , opening lecture by @atilimgunes !
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RT @pietrovischia: In @MODECollaborat1 we have organized the first workshop on Differentiable Programming for Experiment Design! Join us in….
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We are happy to announce the First MODE Workshop on Differentiable Programming for Experiment Design, taking place in hybrid form in Louvain-la-Neuve (BE) on Sep. 6--8th 2021!!! Keynotes by Misha Belkin and @apaszke , opening lecture by @atilimgunes !
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Our Scientific Coordinator @dorigo has been interviewed by APPEC about our Collaboration and research plan! You can read the interview at !!!.
I was interviewed by APPEC about the @MODECollaborat1 and its research plan on #AI - assisted experimental design - see here if you are interested:
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At MODE we are starting hiring!!! Check this out if you want to do a PhD working on differentiable programming for the design of particle physics experiments!.
A Joint PHD offer for physics/computer science #phd wannabes, to use differentiable programming in the design of particle physics experiments! See #phdchat #phdstudent #MachineLearning @MODECollaborat1 @DoniniJulien @pietrovischia @ChrisDel1490 @AnaderiRu
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Hello World! MODE is a collaboration of physicists and computer scientists aiming at using differentiable programming for design optimization of experiments. Watch this space for interesting discssion in #MachineLearning #DeepLearning #physics.
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