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GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial Networks., , , , and . NeurIPS, (2022)Linear, or Non-Linear, That is the Question!, , , , , , and . WSDM, page 517-525. ACM, (2022)Invertible Tabular GANs: Killing Two Birds with OneStone for Tabular Data Synthesis., , , , and . CoRR, (2022)SPI-GAN: Distilling Score-based Generative Models with Straight-Path Interpolations., and . CoRR, (2022)EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting., , , , , , , and . WWW, page 3102-3112. ACM, (2022)Scalable Graph Synthesis with Adj and 1 - Adj., , , , , , , and . SDM, page 307-315. SIAM, (2021)Large-Scale Data-Driven Airline Market Influence Maximization., , , , , , and . KDD, page 914-924. ACM, (2021)Linear, or Non-Linear, That is the Question!, , , , , , and . CoRR, (2021)PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images., , , , , , and . CoRR, (2024)LT-OCF: Learnable-Time ODE-based Collaborative Filtering., , and . CIKM, page 251-260. ACM, (2021)