Browsing Division of Physical and Mathematical Sciences by Subject "Machine Learning"
Now showing items 1-3 of 3
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Learning Filters, Filterbanks, Wavelets and Multiscale Representations
The problem of filter design is ubiquitous. Frequency selective filters are used in speech/audio processing, image analysis, convolutional neural networks for tasks such as denoising, deblurring/deconvolution, enhancement, ... -
Prompt and Displaced Signatures of Physics Beyond the Standard Model
The quest to understand our Universe’s fundamental particles and their interactions has led us to the Standard Model (SM) of particle physics. Despite successfully explaining the weak, electromagnetic, and strong ... -
Search for Long-Lived Particles at High Luminosity Large Hadron Collider and Beyond
Despite extensive searches, clear indications of new physics beyond the Standard Model (BSM) remain elusive. Traditionally, experimental searches at the Large Hadron Collider (LHC) during Phase I and phenomenological studies ...