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10/05/2022
GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial Networks
Time series synthesis is an important research topic in the field of dee...
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06/29/2022
SPI-GAN: Distilling Score-based Generative Models with Straight-Path Interpolations
Score-based generative models (SGMs) are a recently proposed paradigm fo...
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04/19/2022
LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential Equations
The problem of processing very long time-series data (e.g., a length of ...
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04/19/2022
EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting
Deep learning inspired by differential equations is a recent research tr...
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02/08/2022
Invertible Tabular GANs: Killing Two Birds with OneStone for Tabular Data Synthesis
Tabular data synthesis has received wide attention in the literature. Th...
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11/14/2021
Linear, or Non-Linear, That is the Question!
There were fierce debates on whether the non-linear embedding propagatio...
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08/11/2021
LightMove: A Lightweight Next-POI Recommendation for Taxicab Rooftop Advertising
Mobile digital billboards are an effective way to augment brand-awarenes...
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08/08/2021
LT-OCF: Learnable-Time ODE-based Collaborative Filtering
Collaborative filtering (CF) is a long-standing problem of recommender s...
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05/31/2021
Large-Scale Data-Driven Airline Market Influence Maximization
We present a prediction-driven optimization framework to maximize the ma...
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05/31/2021
OCT-GAN: Neural ODE-based Conditional Tabular GANs
Synthesizing tabular data is attracting much attention these days for va...
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05/31/2021
