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03/22/2023
Conformal Prediction for Time Series with Modern Hopfield Networks
To quantify uncertainty, conformal prediction methods are gaining contin...
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06/07/2022
Few-Shot Learning by Dimensionality Reduction in Gradient Space
We introduce SubGD, a novel few-shot learning method which is based on t...
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01/13/2021
MC-LSTM: Mass-Conserving LSTM
The success of Convolutional Neural Networks (CNNs) in computer vision i...
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10/15/2020
Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network
Long Short-Term Memory Networks (LSTMs) have been applied to daily disch...
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11/21/2019
Accurate Hydrologic Modeling Using Less Information
Joint models are a common and important tool in the intersection of mach...
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11/10/2019
Using LSTMs for climate change assessment studies on droughts and floods
Climate change affects occurrences of floods and droughts worldwide. How...
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07/19/2019
Benchmarking a Catchment-Aware Long Short-Term Memory Network (LSTM) for Large-Scale Hydrological Modeling
Regional rainfall-runoff modeling is an old but still mostly out-standin...
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03/19/2019