Machine Learning, Particle Physics, Material Science, Complexity and Knowledge Representations
Joined July 2011
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We welcome tutorials that provide practical insight, theoretical depth, and accessible background for researchers across subfields.
Each tutorial is ~2h.
Submission deadline: 14 March 2026
Guidelines, and submission form: ai4x.cc/2026/tutorials/
#AI4X #Tutorials #AIforScience
Andrey Ustyuzhanin retweeted
A Joint PHD offer for physics/computer science #phd wannabes, to use differentiable programming in the design of particle physics experiments! See science20.com/tommaso_dorigo… #phdchat #phdstudent #MachineLearning @MODECollaborat1 @DoniniJulien @pietrovischia @ChrisDel1490 @AnaderiRu
MLHEP Summer School from @HSE_eng @yandexcom data school @EPFL_en this year entirely online. 15-30 July. Includes ML/AI concepts ranging from basic to advanced learning; practical tools applied to experimental Particle Physics. Apply before 10th of May. bit.ly/mlhep2021.
Materials of #MLHEP summer school started to emerge as a free online course. en.pelican.study/classroom/2…. Currently, there is just a single section out of 6. More to come soon. Any feedback is appreciated: github.com/yandexdataschool/…
Registration for the 6th edition of #mlhep summer school bit.ly/mlhep2020 opens this Friday. Scheduled for 2 weeks: more space for practice and self-paced learning at #EPFL Lausanne, July 16-30.
It was a terrific year, but we survived. Let us rejoice and take the best out of the holidays, so we can go on Coping with darker selves, Caring for each other and Connecting to the higher meanings throughout 2020. It's going to be terrific.
Amazing talk by Eugene Riabenko on causal inference & tons of witty examples one can and cannot afford. #mlhep2019 bit.ly/2FSfa6j
Participants of #mlhep2019 and @desy bush. It was on wed, so people were looking quite positive)
«Robotics and AI Companies: We want to do for Robotics and AI what Fairtrade did for coffee»! chng.it/SpLbqtW2 @ChangeOrgRus
Andrey Ustyuzhanin retweeted
The call for abstracts for the 27th International Conference on Supersymmetry and Unification of Fundamental Interactions (#SUSY2019) is now open! My co-conveners and I will review submissions to the Machine Learning, Big Data and Quantum Information track indico.cern.ch/event/746178/…
Registration opened for the upgraded edition of #mlhep summer school bit.ly/mlhep2019. Feedback learned. Scheduled for 10 days: more space for competition practice and self-paced learning at #DESY in July 1-10.
Andrey Ustyuzhanin retweeted
We now have a solid trio in our #trackml #neurips2018 competition : 1 fastrack 2 cubus 3 cloudkitchen. Horizontal : the fraction of points correctly assigned. vertical the speed measured on #codalab. Final score combines the two. More on this in a few minutes 3:30 in room 518.
‘Tastes differ’, in #MachineLearning language translates into ‘priors differ’. Would be fun to show it using vector math on word embeddings)
Thank you for persistence, Alex! Congrats with the 1st place at the school competition! ) Remarkable result in such a short time and a very nice description of steps to follow.
Learnt a lot about machine learning at the #MLHEP school this week, now excited to apply some of it to my research! Thanks a lot to all organizers. Lectures and notebooks are on github: github.com/yandexdataschool/…
#MLHEP-2018 group shot, 61 students from 40 universities, 20 countries, 5 continents. St Anne college, Oxford. New ML faces for HEP and beyond! )
Semantic segmentation of 3D LArTPC tracks bit.ly/2vJ3BbO competition at #MLHEP. Together with @dlphysics. Running on #codalab until the beginning of October. Feel free to join!
Andrey Ustyuzhanin retweeted
nbdime 1.0.0 release!! Got a lot of @ProjectJupyter notebooks in version control? Frustrated by `git diff`'s output? Give nbdime a try which creates very pretty notebook diffs on the console! nbdime.readthedocs.io/en/sta… (and the web if you like that kind of thing)
