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LSG Attention: Extrapolation of Pretrained Transformers to Long Sequences
Transformer models achieve state-of-the-art performance on a wide range of NLP tasks. They however suffer from a prohibitive limitation due to the...
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Tensor extrapolation methods with applications
In this paper, we mainly develop the well-known vector and matrix polynomial extrapolation methods in tensor framework. To this end, some new...
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Regularization of Feynman 4-Loop Integrals with Numerical Integration and Extrapolation
In this paper we continue our recent work on evaluating numerical approximations for a set of 4-loop self-energy integrals required in the...
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Biased Extrapolation in Latent Space forImbalanced Deep Learning
Addressing class data imbalance to improve generalization on minor classes is critical in medical applications. Traditional approaches including...
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Defocus Blur Synthesis and Deblurring via Interpolation and Extrapolation in Latent Space
Though modern microscopes have an autofocusing system to ensure optimal focus, out-of-focus images can still occur when cells within the medium are...
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Image Extrapolation Based on Perceptual Loss and Style Loss
In recent years, deep learning-based image extrapolation has achieved remarkable improvements. Image extrapolation utilizes the structural and...
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Running an Atmospheric Chemistry Scheme from a Large Air Pollution Model by Using Advanced Versions of the Richardson Extrapolation
Atmospheric chemistry schemes, which are described mathematically by non-linear systems of ordinary differential equations (ODEs), are used in many...
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When Revision-Based Case Adaptation Meets Analogical Extrapolation
Case-based reasoning, where cases are described in terms of problem-solution pairs...
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Improving Generalizability in Limited-Angle CT Reconstruction with Sinogram Extrapolation
Computed tomography (CT) reconstruction from X-ray projections acquired within a limited angle range is challenging, especially when the angle range...
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An Integer Static Analysis for Better Extrapolation in Uppaal
Extended Timed Automata (XTA) is a widely used formalism to show the correctness of industrial applications. The decidability results and current...
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A Comparison of the Richardson Extrapolation and the Approximation Error Estimation on the Ensemble of Numerical Solutions
The epistemic uncertainty quantification concerning the estimation of the approximation error using the differences between numerical solutions...
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Whole Heart Anatomical Refinement from CCTA Using Extrapolation and Parcellation
Coronary computed tomography angiography (CCTA) provides detailed anatomical information on all chambers of the heart. Existing segmentation tools...
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Spiral Generative Network for Image Extrapolation
In this paper, motivated by human natural ability to perceive unseen surroundings imaginatively, we propose a novel Spiral Generative Network,...
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A Deep Learning Approach to Radar Extrapolation
Nowcasting is really important for citizen and industry since it matters to everyone on social and economic activities and is significant for...
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MAG-Net: A Memory Augmented Generative Framework for Video Anomaly Detection Using Extrapolation
Anomaly detection is one of the popular problem in computer vision as it is elementary to several computer vision applications. However, robust...
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Richardson extrapolation for the discrete iterated modified projection solution
Approximate solutions of Urysohn integral equations using projection methods involve integrals which need to be evaluated using a numerical...
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ReLEx: Regularisation for Linear Extrapolation in Neural Networks with Rectified Linear Units
Despite the great success of neural networks in recent years, they are not providing useful extrapolation. In regression tasks, the popular Rectified...
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Zone extrapolations in parametric timed automata
Timed automata (TAs) are an efficient formalism to model and verify systems with hard timing constraints and concurrency. While TAs assume exact...
