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03/28/2023
Hyperbolic Geometry in Computer Vision: A Novel Framework for Convolutional Neural Networks
Real-world visual data exhibit intrinsic hierarchical structures that ca...
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12/22/2021
POD-Galerkin reduced order models and physics-informed neural networks for solving inverse problems for the Navier-Stokes equations
We present a Reduced Order Model (ROM) which exploits recent development...
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12/04/2019
Deep Distributional Sequence Embeddings Based on a Wasserstein Loss
Deep metric learning employs deep neural networks to embed instances int...
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09/21/2018
A Discriminative Model for Identifying Readers and Assessing Text Comprehension from Eye Movements
We study the problem of inferring readers' identities and estimating the...
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08/28/2015