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"Time": models, code, and papers
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Fast refacing of MR images with a generative neural network lowers re-identification risk and preserves volumetric consistency

May 26, 2023
Nataliia Molchanova, Bénédicte Maréchal, Jean-Philippe Thiran, Tobias Kober, Till Huelnhagen, Jonas Richiardi

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Importance attribution in neural networks by means of persistence landscapes of time series

Feb 06, 2023
Aina Ferrà, Carles Casacuberta, Oriol Pujol

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LightCTS: A Lightweight Framework for Correlated Time Series Forecasting

Feb 23, 2023
Zhichen Lai, Dalin Zhang, Huan Li, Christian S. Jensen, Hua Lu, Yan Zhao

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Accelerating Convergence in Global Non-Convex Optimization with Reversible Diffusion

May 19, 2023
Ryo Fujino

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Beyond Prediction: On-street Parking Recommendation using Heterogeneous Graph-based List-wise Ranking

Apr 29, 2023
Hanyu Sun, Xiao Huang, Wei Ma

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DualVC: Dual-mode Voice Conversion using Intra-model Knowledge Distillation and Hybrid Predictive Coding

May 21, 2023
Ziqian Ning, Yuepeng Jiang, Pengcheng Zhu, Jixun Yao, Shuai Wang, Lei Xie, Mengxiao Bi

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UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time Series

Apr 11, 2023
Patrick Ebel, Vivien Sainte Fare Garnot, Michael Schmitt, Jan Dirk Wegner, Xiao Xiang Zhu

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Re-thinking Data Availablity Attacks Against Deep Neural Networks

May 18, 2023
Bin Fang, Bo Li, Shuang Wu, Ran Yi, Shouhong Ding, Lizhuang Ma

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Validation of an ECAPA-TDNN system for Forensic Automatic Speaker Recognition under case work conditions

May 18, 2023
Francesco Sigona, Mirko Grimaldi

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Generalization for slowly mixing processes

Apr 28, 2023
Andreas Maurer

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