Publications Conference proceedings (9) Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows Author(s): Michael Puthawala, Matti Lassas, Ivan Dokmanic, Maarten De Hoop Published in: Proceedings of the 39th International Conference on Machine Learning, 2022 Publisher: PMLR Neural Link Prediction with Walk Pooling Author(s): Liming Pan, Cheng Shi, Ivan Dokmanic Published in: International Conference on Learning Representations, 2022 Publisher: Tenth International Conference on Learning Representations Universal Approximation Under Constraints is Possible with Transformers Author(s): Anastasis Kratsios, Behnoosh Zamanlooy, Tianlin Liu, Ivan Dokmanic Published in: International Conference on Learning Representations, 2022 Publisher: ICLR 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 Publisher: IEEE 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 Publisher: NA Implicit Neural Representation for Mesh-Free Inverse Obstacle Scattering Author(s): Tin Vlašić, Hieu Nguyen, Ivan Dokmanić Published in: Asilomar Conference on Signals, Systems, and Computers, 2022 Publisher: NA Truly shift-equivariant convolutional neural networks with adaptive polyphase upsampling Author(s): Anadi Chaman, Ivan Dokmanić Published in: 2021 55th Asilomar Conference on Signals, Systems, and Computers, 2021 Publisher: IEEE Manifold Rewiring for Unlabeled Imaging Author(s): Valentin Debarnot, Vinith Kishore, Cheng Shi, Ivan Dokmanic Published in: APSIPA, 2022 Publisher: IEEE 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 Publisher: Advances in Neural Information Processing Systems Peer reviewed articles (4) Learning Multiscale Convolutional Dictionaries for Image Reconstruction Author(s): Tianlin Liu, Anadi Chaman, David Belius, Ivan Dokmanić Published in: IEEE Transactions on Computational Imaging, 2022, ISSN 2333-9403 Publisher: IEEE Learning sub-patterns in piecewise continuous functions Author(s): Kratsios, Anastasis; Zamanlooy, Behnoosh Published in: Neurocomputing, Issue 09252312, 2022, ISSN 0925-2312 Publisher: Elsevier BV DOI: 10.1016/j.neucom.2022.01.036 Globally Injective ReLU Networks Author(s): Michael Puthawala, Konik Kothari, Matti Lassas, Ivan Dokmanić, Maarten de Hoop Published in: Journal of Machine Learning Research, 2022, ISSN 1532-4435 Publisher: MIT Press Total Least Squares Phase Retrieval Author(s): Sidharth Gupta, Ivan Dokmanić Published in: IEEE Transactions on Signal Processing, 2021, ISSN 1941-0476 Publisher: IEEE Other (2) Conditional Injective Flows for Bayesian Imaging Author(s): AmirEhsan Khorashadizadeh, Konik Kothari, Leonardo Salsi, Ali Aghababaei Harandi, Maarten de Hoop, Ivan Dokmanić Published in: 2022 Publisher: NA Orthogonal Matrix Retrieval with Spatial Consensus for 3D Unknown-View Tomography Author(s): Shuai Huang, Mona Zehni, Ivan Dokmanic, Zhizhen Zhao Published in: arXiv, 2022 Publisher: NA Searching for OpenAIRE data... There was an error trying to search data from OpenAIRE No results available
