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SPI-GAN: Distilling Score-based Generative Models with Straight-Path Interpolations.

, and . CoRR, (2022)

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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)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)SPI-GAN: Distilling Score-based Generative Models with Straight-Path Interpolations., and . CoRR, (2022)Invertible Tabular GANs: Killing Two Birds with OneStone for Tabular Data Synthesis., , , , 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)Operator-learning-inspired Modeling of Neural Ordinary Differential Equations., , , , , , , , and . CoRR, (2023)LightMove: A Lightweight Next-POI Recommendation forTaxicab Rooftop Advertising., , , , , , and . CIKM, page 3857-3866. ACM, (2021)Large-Scale Flight Frequency Optimization with Global Convergence in the US Domestic Air Passenger Markets., , , , , , , and . SDM, page 711-719. SIAM, (2021)