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SUMMARY:Imaging Lunch: DeepInverse: a PyTorch library for solving imaging 
 inverse problems with deep learning
DTSTART:20251210T110000
DTEND:20251210T130000
DTSTAMP:20260609T140941Z
UID:285a6df942918e9d845cc082be0899481f3e778cd94bf3ebf5967c43
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr Julian Tachella\, CNRS & ENS de Lyon\nAbstract \nIn thi
 s tutorial\, we will introduce the main functionalities of the deepinverse
  open-source library (https://deepinv.github.io/) through a live demo. The
  library covers all crucial steps in image reconstruction from the efficie
 nt implementation of forward operators (e.g.\, optics\, MRI\, tomography)\
 , to the definition and resolution of variational problems and the design 
 and training of advanced neural network architectures. You will be able to
  choose one mini-project to try out the library\, such as defining a new f
 orward operator\, building a reconstruction method or training a reconstru
 ction network.\n\nLearning Objectives \n\n	Understand how to solve imagin
 g inverse problems with state-of-the-art learning-based methods using the 
 library (diffusion models\, plug-and-play\, self-supervised learning\, etc
 .)\n	Grasp the main functionalities of the library.\n\n\nPrerequisites \n
 \n\n	Bring your laptop and install the library by following the instructio
 ns here in your preferred configuration (local\, ssh server\, etc.).\n	Hav
 e some experience with imaging inverse problems\n\nLevel: advanced\n\nRegi
 stration required\n\nAbout the Imaging Lunches: Once per month\, the EPFL
  Center for Imaging organises an event dedicated to all PhD students and p
 ostdocs working with/in imaging. Discuss the latest advances in imaging. C
 onnect with imaging peers. Learn about popular imaging tools!
LOCATION:BC 410 https://plan.epfl.ch/?room==BC%20410
STATUS:CONFIRMED
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