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General Talks

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Posledne pridané:
2019-04-18
15:25
The information theory of Deep Learning / Tishby, Naftali (speaker) (Hebrew University of Jerusalem)
2019 - 1:12:24. LPCC Workshops; 3rd IML Machine Learning Workshop External links: Talk details; Event details In : 3rd IML Machine Learning Workshop

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2019-04-18
15:25
Novelty Detection Meets Collider Physics / Li, Ying-Ying (speaker) (HKUST)
Novelty detection is the machine learning task to recognize data, which belong to an unknown pattern. Complementary to supervised learning, it allows to analyze data model-independently. [...]
2019 - 0:22:45. LPCC Workshops; 3rd IML Machine Learning Workshop External links: Talk details; Event details In : 3rd IML Machine Learning Workshop

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2019-04-18
14:52
The Tracking Machine Learning challenge / Rousseau, David (speaker) (LAL-Orsay, FR)
The HL-LHC will see ATLAS and CMS see proton bunch collisions reaching track multiplicity up to 10.000 charged tracks per event. Algorithms need to be developed to harness the increased combinatorial complexity. [...]
2019 - 0:32:50. LPCC Workshops; 3rd IML Machine Learning Workshop External links: Talk details; Event details In : 3rd IML Machine Learning Workshop

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2019-04-18
14:31
sTGC FEB Hardware Integration (Final Talk) / Corsetti, Sabrina (speaker) (University of Michigan)
2019 - 0:23:41. REU; UM Semester Abroad - Student Talks External links: Talk details; Event details In : UM Semester Abroad - Student Talks

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2019-04-18
14:25
Uncertain Networks / Thompson, Jennifer (speaker) (ITP Heidelberg)
Machine learning methods are being increasingly and successfully applied to many different physics problems. However, currently uncertainties in machine learning methods are not modelled well, if at all. [...]
2019 - 0:33:25. LPCC Workshops; 3rd IML Machine Learning Workshop External links: Talk details; Event details In : 3rd IML Machine Learning Workshop

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2019-04-18
10:52
Rediscovering the Higgs using CERN Open Data / Mieth, Alexander Hardy (speaker) (Helsinki Institute of Physics (FI))
2019 - 0:21:12. REU; UM Semester Abroad - Student Talks External links: Talk details; Event details In : UM Semester Abroad - Student Talks

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2019-04-18
10:39
Machine Learning for Likelihood Free Inference / Le Pottier, Luc Tomas (speaker) (University of Michigan (US))
2019 - 0:23:22. REU; UM Semester Abroad - Student Talks External links: Talk details; Event details In : UM Semester Abroad - Student Talks

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2019-04-18
10:30
Gauge Fields in Deep Learning / Welling, Max (speaker) (University of Amsterdam)
Joint work with Taco Cohen, Maurice Weiler and Berkay Kicanaoglu Gauge field theory is the foundation of modern physics, including general relativity and the standard model of physics. It describes how a theory of physics should transform under symmetry transformations [...]
2019 - 1:07:02. CERN Colloquium External link: Event details In : Gauge Fields in Deep Learning

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2019-04-18
10:23
Applying Generative Models to Scientific Research / Ratnikov, Fedor (speaker) (Yandex School of Data Analysis (RU))
Surrogate generative models demonstrate extraordinary progress in current years. Although most applications are dedicated to image generation and similar commercial goals, this approach is also very promising for natural sciences, especially for tasks like fast event simulation in HEP experiments. [...]
2019 - 0:30:54. LPCC Workshops; 3rd IML Machine Learning Workshop External links: Talk details; Event details In : 3rd IML Machine Learning Workshop

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2019-04-18
10:12
DijetGAN: A Generative-Adversarial Network Approach for the Simulation of QCD Dijet Events at the LHC / Palazzo, Serena (speaker) (The University of Edinburgh (GB))
In this talk, I will present a Generative-Adversarial Network (GAN) based on convolutional neural networks that is used to simulate the production of pairs of jets at the LHC. The GAN is trained on events generated using MadGraph5 + Pythia8, and Delphes3 fast detector simulation. [...]
2019 - 0:20:41. LPCC Workshops; 3rd IML Machine Learning Workshop External links: Talk details; Event details In : 3rd IML Machine Learning Workshop

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