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Workshop on Deep Learning and Inverse Problems
Reinhard Heckel · Paul Hand · Richard Baraniuk · Lenka Zdeborová · Soheil Feizi

@ None
Event URL: https://deep-inverse.org/ »

Learning-based methods, and in particular deep neural networks, have emerged as highly successful and universal tools for image and signal recovery and restoration. They achieve state-of-the-art results on tasks ranging from image denoising, image compression, and image reconstruction from few and noisy measurements. They are starting to be used in important imaging technologies, for example in GEs newest computational tomography scanners and in the newest generation of the iPhone.

The field has a range of theoretical and practical questions that remain unanswered. In particular, learning and neural network-based approaches often lack the guarantees of traditional physics-based methods. Further, while superior on average, learning-based methods can make drastic reconstruction errors, such as hallucinating a tumor in an MRI reconstruction or turning a pixelated picture of Obama into a white male.

This virtual workshop aims at bringing together theoreticians and practitioners in order to chart out recent advances and discuss new directions in deep neural network-based approaches for solving inverse problems in the imaging sciences and beyond. NeurIPS, with its visibility and attendance by experts in machine learning, offers the ideal frame for this exchange of ideas. We will use this virtual format to make this topic accessible to a broader audience than the in-person meeting is able to as described below.

Fri 7:30 a.m. - 7:55 a.m. [iCal]

This session consists of a 15-minute talk and a 10 minute Q/A geared toward newcomers to the field, introducing them to the major questions and approaches related to deep learning and inverse problems.

Reinhard Heckel, Paul Hand
Fri 7:55 a.m. - 8:00 a.m. [iCal]
Opening Remarks
Reinhard Heckel, Paul Hand, Soheil Feizi, Lenka Zdeborová, Richard Baraniuk
Fri 8:00 a.m. - 8:30 a.m. [iCal]
Victor Lempitsky (Invited talk and Q&A)
Victor Lempitsky
Fri 8:30 a.m. - 9:00 a.m. [iCal]
Thomas Pock (Invited talk and Q&A)
Thomas Pock
Fri 9:00 a.m. - 9:15 a.m. [iCal]
TBD (Contributed Talk and Q&A)
Fri 9:15 a.m. - 9:30 a.m. [iCal]
TBD (Contributed Talk and Q&A)
Fri 9:30 a.m. - 10:00 a.m. [iCal]

Discussion 2 consists of three Zoom rooms, one each for discussions with the speakers' Victor Lempitsky and Thomas Pock, and one for discussions for newcomers to the field.

Fri 10:00 a.m. - 10:30 a.m. [iCal]
Rebecca Willett (Invited talk and Q&A)
Rebecca Willett
Fri 10:30 a.m. - 11:00 a.m. [iCal]
Stefano Emron (Invited talk and Q&A)
Stefano Ermon
Fri 11:00 a.m. - 11:15 a.m. [iCal]
TBD (Contributed Talk and Q&A)
Fri 11:15 a.m. - 11:30 a.m. [iCal]
TBD (Contributed Talk and Q&A)
Fri 11:30 a.m. - 12:00 p.m. [iCal]
Willett and Ermon (Discussion)
Fri 1:00 p.m. - 2:00 p.m. [iCal]
Poster Session
Fri 2:00 p.m. - 2:30 p.m. [iCal]
Peyman Milanfar (Invited talk and Q&A)
Peyman Milanfar
Fri 2:30 p.m. - 3:00 p.m. [iCal]
Rachel Ward (Invited talk and Q&A)
Rachel Ward
Fri 3:00 p.m. - 3:30 p.m. [iCal]
Larry Zitnick (Invited talk and Q&A)
Larry Zitnick
Fri 3:30 p.m. - 4:00 p.m. [iCal]

This discussion consists of three Zoom rooms, one each for discussions with the speakers Peyman Milanfar, Rachel Ward, and Larry Zitnick.

Author Information

Reinhard Heckel (Rice University)
Paul Hand (Northeastern University)
Richard Baraniuk (Rice University)
Lenka Zdeborová (CEA)
Soheil Feizi (University of Maryland)

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