Category: Indico Event

  • 2nd IML Machine Learning Workshop

    Monday 9 Apr/18 9:00 (Europe/Zurich) Ends: 12 Apr/18 20:00 2nd IML Machine Learning Workshop Inter-experimental Machine Learning Working Group Workshop on Machine Learning will be held between April 9 and 11, 2018. There will also be a full-day hackathon on April 12.

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  • PHYSTAT Seminar: A general introduction to continuous optimization

    Wednesday 20 Nov/19 11:00 -12:00 (Europe/Zurich) PHYSTAT Seminar: A general introduction to continuous optimization In this talk, I will give an introduction to the field of continuous optimization. I will provide instances of optimization problems that appear in biology and physics through the concept of optimization landscapes. I will review sampling-based approaches as well as…

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  • TrackML : The High Energy Physics Tracking Challenge

    Wednesday 7 Mar/18 11:00 -12:00 (Europe/Zurich) TrackML : The High Energy Physics Tracking Challenge At HL-LHC, the seven-fold increase of multiplicity wrt 2018 conditions poses a severe challenge to ATLAS and CMS tracking experiments. Both experiment are revamping their tracking detector, and are optimizing their software. But are there not new algorithms developed outside HEP…

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  • Machine Learning applications in CMS

    Wednesday 20 Sep/17 11:00 -12:00 (Europe/Zurich) Machine Learning applications in CMS Machine Learning is used in many aspects of CMS data taking, monitoring, processing and analysis. We review a few of these use cases and the most recent developments, with an outlook to future applications in the LHC Run III and for the High-Luminosity phase.

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  • IML Machine Learning Working Group: sequential models

    Monday 4 Jun/18 15:00 (Europe/Zurich) Ends: 5 Jun/18 17:00 IML Machine Learning Working Group: sequential models Agenda under development. If you like to present, please contact iml.coordinators@cern.ch

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  • Highest-Quality Random Number Generators

    Wednesday 26 Feb/20 11:00 -12:00 (Europe/Zurich) Highest-Quality Random Number Generators When Martin Lüscher introduced RANLUX in 1994, it was the first pseudorandom number generator based on the theory of Mixing in classical dynamical systems. Now 25 years later, it is still very successful but it is no longer alone, since two more recent algorithms, MIXMAX…

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  • Approximate Inference and Deep Generative Models

    Wednesday 31 Jan/18 11:00 -12:00 (Europe/Zurich) Approximate Inference and Deep Generative Models Advances in deep generative models are at the forefront of deep learning research because of the promise they offer for allowing data-efficient learning, and for model-based reinforcement learning. In this talk I'll review a few standard methods for approximate inference and introduce modern…

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  • IML LHC Machine Learning WG Meeting – Deep Learning

    Thursday 14 Apr/16 15:00 -17:45 (Europe/Zurich) IML LHC Machine Learning WG Meeting – Deep Learning

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  • CWP-ML group 4

    Friday 12 May/17 20:30 -23:00 (US/Central) CWP-ML group 4

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