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

Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows

Autores: Michael Puthawala, Matti Lassas, Ivan Dokmanic, Maarten De Hoop
Publicado en: Proceedings of the 39th International Conference on Machine Learning, 2022
Editor: PMLR

Neural Link Prediction with Walk Pooling

Autores: Liming Pan, Cheng Shi, Ivan Dokmanic
Publicado en: International Conference on Learning Representations, 2022
Editor: Tenth International Conference on Learning Representations

Universal Approximation Under Constraints is Possible with Transformers

Autores: Anastasis Kratsios, Behnoosh Zamanlooy, Tianlin Liu, Ivan Dokmanic
Publicado en: International Conference on Learning Representations, 2022
Editor: ICLR

Truly Shift-Invariant Convolutional Neural Networks

Autores: Anadi Chaman, Ivan Dokmanic
Publicado en: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
Editor: IEEE

Trumpets: Injective Flows for Inference and Inverse Problems

Autores: Kothari, Konik; Khorashadizadeh, AmirEhsan; de Hoop, Maarten; Dokmanić, Ivan
Publicado en: Conference on Uncertainty in Artificial Intelligence (UAI), 2021
Editor: NA

Implicit Neural Representation for Mesh-Free Inverse Obstacle Scattering

Autores: Tin Vlašić, Hieu Nguyen, Ivan Dokmanić
Publicado en: Asilomar Conference on Signals, Systems, and Computers, 2022
Editor: NA

Truly shift-equivariant convolutional neural networks with adaptive polyphase upsampling

Autores: Anadi Chaman, Ivan Dokmanić
Publicado en: 2021 55th Asilomar Conference on Signals, Systems, and Computers, 2021
Editor: IEEE

Manifold Rewiring for Unlabeled Imaging

Autores: Valentin Debarnot, Vinith Kishore, Cheng Shi, Ivan Dokmanic
Publicado en: APSIPA, 2022
Editor: IEEE

Learning the Geometry of Wave-Based Imaging

Autores: Konik Kothari, Maarten de Hoop, Ivan Dokmanić
Publicado en: Advances in Neural Information Processing Systems, Edición 33, 2020
Editor: Advances in Neural Information Processing Systems

Learning Multiscale Convolutional Dictionaries for Image Reconstruction

Autores: Tianlin Liu, Anadi Chaman, David Belius, Ivan Dokmanić
Publicado en: IEEE Transactions on Computational Imaging, 2022, ISSN 2333-9403
Editor: IEEE

Learning sub-patterns in piecewise continuous functions

Autores: Kratsios, Anastasis; Zamanlooy, Behnoosh
Publicado en: Neurocomputing, Edición 09252312, 2022, ISSN 0925-2312
Editor: Elsevier BV
DOI: 10.1016/j.neucom.2022.01.036

Globally Injective ReLU Networks

Autores: Michael Puthawala, Konik Kothari, Matti Lassas, Ivan Dokmanić, Maarten de Hoop
Publicado en: Journal of Machine Learning Research, 2022, ISSN 1532-4435
Editor: MIT Press

Total Least Squares Phase Retrieval

Autores: Sidharth Gupta, Ivan Dokmanić
Publicado en: IEEE Transactions on Signal Processing, 2021, ISSN 1941-0476
Editor: IEEE

Conditional Injective Flows for Bayesian Imaging

Autores: AmirEhsan Khorashadizadeh, Konik Kothari, Leonardo Salsi, Ali Aghababaei Harandi, Maarten de Hoop, Ivan Dokmanić
Publicado en: 2022
Editor: NA

Orthogonal Matrix Retrieval with Spatial Consensus for 3D Unknown-View Tomography

Autores: Shuai Huang, Mona Zehni, Ivan Dokmanic, Zhizhen Zhao
Publicado en: arXiv, 2022
Editor: NA

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