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Signals, Waves, and Learning: A Data-Driven Paradigm for Wave-Based Inverse Problems

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Publications

Learning Multiscale Convolutional Dictionaries for Image Reconstruction

Author(s): Tianlin Liu, Anadi Chaman, David Belius, Ivan Dokmanić
Published in: 2021

Globally Injective ReLU Networks

Author(s): Michael Puthawala, Konik Kothari, Matti Lassas, Ivan Dokmanić, Maarten de Hoop
Published in: 2020

Truly shift-equivariant convolutional neural networks with adaptive polyphase upsampling

Author(s): Anadi Chaman, Ivan Dokmanić
Published in: 2021

Total Least Squares Phase Retrieval

Author(s): Sidharth Gupta, Ivan Dokmanić
Published in: 2021

Truly Shift-Invariant Convolutional Neural Networks

Author(s): Anadi Chaman, Ivan Dokmanic
Published in: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021

Trumpets: Injective Flows for Inference and Inverse Problems

Author(s): Kothari, Konik; Khorashadizadeh, AmirEhsan; de Hoop, Maarten; Dokmanić, Ivan
Published in: Conference on Uncertainty in Artificial Intelligence (UAI), 2021

Learning the Geometry of Wave-Based Imaging

Author(s): Konik Kothari, Maarten de Hoop, Ivan Dokmanić
Published in: Advances in Neural Information Processing Systems, Issue 33, 2020