2019-04-17
10:12 |
|
Neural networks for the abstraction of the physical symmetries in the nature
/ Cho, Wonsang (speaker) (Seoul National University)
Neural networks are so powerful universal approximator of complicated patterns in large-scale data, leading the explosive developments of AI in terms of deep learning. However, in many cases, usual neural networks are trained to possess poor level of abstraction, so that the model's predictability and generalizability can be quite unstable, depending on the quality and amount of the data used for training. [...]
2019 - 0:22:01.
LPCC Workshops; 3rd IML Machine Learning Workshop
External links: Talk details; Event details
In : 3rd IML Machine Learning Workshop
|
Подробен запис - Подобни записи
|
2019-04-17
10:02 |
|
Learning Invariant Representations using Mutual Information Regularization
/ Tan, Justin (speaker) (University of Melbourne)
Invariance of learned representations of neural networks against certain sensitive attributes of the input data is a desirable trait in many modern-day applications of machine learning, such as precision measurements in experimental high-energy physics and enforcing algorithmic fairness in the social and financial domain. We present a method for enforcing this invariance through regularization of the mutual information between the target variable and the classifier output. [...]
2019 - 0:22:27.
LPCC Workshops; 3rd IML Machine Learning Workshop
External links: Talk details; Event details
In : 3rd IML Machine Learning Workshop
|
Подробен запис - Подобни записи
|
2019-04-17
10:01 |
|
Containers for Machine Learning in HEP
/ Feickert, Matthew (speaker) (Southern Methodist University (US))
Physicists want to use modern open source machine learning tools developed by industry for machine learning projects and analyses in high energy physics. The software environment that a physicist prototypes, tests, and runs these projects in is ideally the same regardless of compute site (be it their laptop or on the GRID). [...]
2019 - 0:19:29.
LPCC Workshops; 3rd IML Machine Learning Workshop
External links: Talk details; Event details
In : 3rd IML Machine Learning Workshop
|
Подробен запис - Подобни записи
|
2019-04-17
10:00 |
Подробен запис - Подобни записи
|
2019-04-17
09:59 |
|
Decoding Physics Information in DNNs
/ Cheng, Taoli (speaker) (University of Montreal)
A more dedicated study on the information flow in DNNs will help us understand their behaviour and the deep connection between DNN models and the corresponding tasks. Taking into account our well-established physics analysis framework (observable-based), we present a novel way to interpret DNNs results for HEP, which not only gives a clear physics picture but also inspires interfaces with the theoretical foundation. [...]
2019 - 0:21:15.
LPCC Workshops; 3rd IML Machine Learning Workshop
External links: Talk details; Event details
In : 3rd IML Machine Learning Workshop
|
Подробен запис - Подобни записи
|
2019-04-17
09:54 |
|
Machine Learning Uncertainties with Adversarial Neural Networks
/ Galler, Peter (speaker) (University of Glasgow)
Machine learning is a powerful tool to reveal and exploit correlations in a multi-dimensional parameter space. Making predictions from such correlations is a highly non-trivial task, in particular when the details of the underlying dynamics of a theoretical model are not fully understood. [...]
2019 - 0:20:30.
LPCC Workshops; 3rd IML Machine Learning Workshop
External links: Talk details; Event details
In : 3rd IML Machine Learning Workshop
|
Подробен запис - Подобни записи
|
2019-04-16
17:02 |
Подробен запис - Подобни записи
|
2019-04-16
16:28 |
|
Looking forward to new physics: the FASER experiment
/ Boyd, Jamie (speaker) (CERN)
The goal of the, recently approved, FASER experiment is to search for new light, weakly-interacting particles at CERNs Large Hadron Collider. By exploiting a unique location underground in the CERN tunnel system, FASER will provide world-leading sensitivity in a relatively small, quick, and inexpensive experiment. The FASER detector is currently under construction to be installed into the tunnel during 2020 in LHC Long Shutdown 2. [...]
2019 - 0:56:04.
EP Seminar
External link: Event details
In : Looking forward to new physics: the FASER experiment
|
Подробен запис - Подобни записи
|
2019-04-16
11:44 |
|
HEPiX Spring 2019 Summary
/ Barrand, Quentin (speaker) (CERN) ; Mrowczynski, Piotr (speaker) (CERN) ; Dumitru, Andrei (speaker) (CERN)
The HEPiX forum brings together worldwide Information Technology staff, including system administrators, system engineers, and managers from the High Energy Physics and Nuclear Physics laboratories and institutes, to foster a learning and sharing experience between sites facing scientific computing and data challenges. Participating sites include BNL, CERN, DESY, FNAL, IHEP, IN2P3, INFN, JLAB, Nikhef, RAL, SLAC, TRIUMF and many others. [...]
2019 - 0:52:30.
IT Technical Forum (ITTF); HEPiX Spring 2019 Summary
External links: Talk details; Event details
In : HEPiX Spring 2019 Summary
|
Подробен запис - Подобни записи
|
2019-04-10
17:18 |
Подробен запис - Подобни записи
|
|
|
|