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06/21/2023
Relationships between the Phase Retrieval Problem and Permutation Invariant Embeddings
This paper discusses the connection between the phase retrieval problem ...
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03/04/2023
Coupled Multiwavelet Neural Operator Learning for Coupled Partial Differential Equations
Coupled partial differential equations (PDEs) are key tasks in modeling ...
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03/22/2022
VQ-Flows: Vector Quantized Local Normalizing Flows
Normalizing flows provide an elegant approach to generative modeling tha...
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03/14/2022
Permutation Invariant Representations with Applications to Graph Deep Learning
This paper presents primarily two Euclidean embeddings of the quotient s...
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12/02/2021
Convergence Guarantees for Deep Epsilon Greedy Policy Learning
Policy learning is a quickly growing area. As robotics and computers con...
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04/20/2021
An Exact Hypergraph Matching Algorithm for Nuclear Identification in Embryonic Caenorhabditis elegans
Finding an optimal correspondence between point sets is a common task in...
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08/04/2018
On Lipschitz Bounds of General Convolutional Neural Networks
Many convolutional neural networks (CNNs) have a feed-forward structure....
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11/03/2017
A mathematical framework for graph signal processing of time-varying signals
We propose a general framework from which to understand the design of fi...
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03/10/2014
Phase Retrieval using Lipschitz Continuous Maps
In this note we prove that reconstruction from magnitudes of frame coeff...
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08/25/2013
Stability of Phase Retrievable Frames
In this paper we study the property of phase retrievability by redundant...
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08/21/2013