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07/03/2023
MADS: Modulated Auto-Decoding SIREN for time series imputation
Time series imputation remains a significant challenge across many field...
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06/12/2023
Deep Gaussian Mixture Ensembles
This work introduces a novel probabilistic deep learning technique calle...
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11/17/2022
DSLOB: A Synthetic Limit Order Book Dataset for Benchmarking Forecasting Algorithms under Distributional Shift
In electronic trading markets, limit order books (LOBs) provide informat...
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09/22/2022
StyleTime: Style Transfer for Synthetic Time Series Generation
Neural style transfer is a powerful computer vision technique that can i...
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08/11/2022
HyperTime: Implicit Neural Representation for Time Series
Implicit neural representations (INRs) have recently emerged as a powerf...
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02/23/2022
Fusion of Probability Density Functions
Fusing probabilistic information is a fundamental task in signal and dat...
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09/09/2020
Particle Filtering Under General Regime Switching
In this paper, we consider a new framework for particle filtering under ...
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05/31/2018