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07/05/2023
Utility-Aware Load Shedding for Real-time Video Analytics at the Edge
Real-time video analytics typically require video frames to be processed...
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06/15/2023
Neural models for Factual Inconsistency Classification with Explanations
Factual consistency is one of the most important requirements when editi...
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04/14/2023
Fog Computing IoT: Overview, Architecture and Applications
Fog computing is an emerging technology in the field of network services...
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03/04/2022
NFSlicer: Data Movement Optimization for Shallow Network Functions
Network Function (NF) deployments on commodity servers have become ubiqu...
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01/31/2022
Assessment of DeepONet for reliability analysis of stochastic nonlinear dynamical systems
Time dependent reliability analysis and uncertainty quantification of st...
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07/07/2021
End-to-End Simultaneous Learning of Single-particle Orientation and 3D Map Reconstruction from Cryo-electron Microscopy Data
Cryogenic electron microscopy (cryo-EM) provides images from different c...
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01/17/2020
Deep Neural Networks with Trainable Activations and Controlled Lipschitz Constant
We introduce a variational framework to learn the activation functions o...
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11/18/2019
Improving Document Classification with Multi-Sense Embeddings
Efficient representation of text documents is an important building bloc...
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10/03/2019
Time-Dependent Deep Image Prior for Dynamic MRI
We propose a novel unsupervised deep-learning-based algorithm to solve t...
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04/12/2018
A Survey of Fog Computing and Communication: Current Researches and Future Directions
In this survey, we discuss the evolution of distributed computing from t...
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02/05/2018
Continuous-Domain Solutions of Linear Inverse Problems with Tikhonov vs. Generalized TV Regularization
We consider linear inverse problems that are formulated in the continuou...
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09/06/2017
