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08/23/2023
Enhancing cardiovascular risk prediction through AI-enabled calcium-omics
Background. Coronary artery calcium (CAC) is a powerful predictor of maj...
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02/07/2023
IB-UQ: Information bottleneck based uncertainty quantification for neural function regression and neural operator learning
In this paper, a novel framework is established for uncertainty quantifi...
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12/06/2022
A Realizable GAS-based Quantum Algorithm for Traveling Salesman Problem
The paper proposes a quantum algorithm for the traveling salesman proble...
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09/12/2022
FP8 Formats for Deep Learning
FP8 is a natural progression for accelerating deep learning training inf...
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08/16/2022
Direct Sum Theorems From Fortification
We revisit the direct sum theorems in communication complexity which ask...
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06/04/2022
All One Needs to Know about Priors for Deep Image Restoration and Enhancement: A Survey
Image restoration and enhancement is a process of improving the image qu...
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05/30/2022
Edge YOLO: Real-Time Intelligent Object Detection System Based on Edge-Cloud Cooperation in Autonomous Vehicles
Driven by the ever-increasing requirements of autonomous vehicles, such ...
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05/18/2022
Mobility Support for Millimeter Wave Communications: Opportunities and Challenges
Millimeter-wave (mmWave) communication technology offers a potential and...
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07/22/2021
Improving Blockchain Consistency by Assigning Weights to Random Blocks
Blockchains based on the celebrated Nakamoto consensus protocol have sho...
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03/20/2020
Masked Face Recognition Dataset and Application
In order to effectively prevent the spread of COVID-19 virus, almost eve...
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06/19/2019
Learning to Reconstruct and Understand Indoor Scenes from Sparse Views
This paper proposes a new method for simultaneous 3D reconstruction and ...
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06/03/2019
Discriminative adversarial networks for positive-unlabeled learning
As an important semi-supervised learning task, positive-unlabeled (PU) l...
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08/13/2018
Deterministic Proof Of Work
Blockchains such as Bitcoin and Ethereum designed their consensus protoc...
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04/06/2018
Hierarchical Disentangled Representations
Deep latent-variable models learn representations of high-dimensional da...
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10/16/2017
VAMPnets: Deep learning of molecular kinetics
Here we develop a deep learning framework for molecular kinetics from mo...
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02/27/2017
