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GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial Networks., , , , и . NeurIPS, (2022)Linear, or Non-Linear, That is the Question!, , , , , , и . WSDM, стр. 517-525. ACM, (2022)EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting., , , , , , , и . WWW, стр. 3102-3112. ACM, (2022)Invertible Tabular GANs: Killing Two Birds with OneStone for Tabular Data Synthesis., , , , и . CoRR, (2022)SPI-GAN: Distilling Score-based Generative Models with Straight-Path Interpolations., и . CoRR, (2022)Large-Scale Data-Driven Airline Market Influence Maximization., , , , , , и . KDD, стр. 914-924. ACM, (2021)Scalable Graph Synthesis with Adj and 1 - Adj., , , , , , , и . SDM, стр. 307-315. SIAM, (2021)Operator-learning-inspired Modeling of Neural Ordinary Differential Equations., , , , , , , , и . CoRR, (2023)OCT-GAN: Neural ODE-based Conditional Tabular GANs., , , , и . WWW, стр. 1506-1515. ACM / IW3C2, (2021)LightMove: A Lightweight Next-POI Recommendation forTaxicab Rooftop Advertising., , , , , , и . CIKM, стр. 3857-3866. ACM, (2021)