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| Optimal change point detection in Gaussian processes | Jun 3, 2015 | Change Point DetectionGaussian Processes | —Unverified | 0 | 0 |
| DeepRain: ConvLSTM Network for Precipitation Prediction using Multichannel Radar Data | Nov 7, 2017 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Optimal Copula Transport for Clustering Multivariate Time Series | Sep 27, 2015 | ClusteringClustering Multivariate Time Series | —Unverified | 0 | 0 |
| Optimal Cross-Correlation Estimates from Asynchronous Tick-by-Tick Trading Data | Mar 18, 2023 | Time Series | —Unverified | 0 | 0 |
| Optimal Estimation Methodologies for Panel Data Regression Models | Nov 6, 2023 | Econometricsregression | —Unverified | 0 | 0 |
| Learning K-U-Net with constant complexity: An Application to time series forecasting | Oct 3, 2024 | Time SeriesTime Series Forecasting | —Unverified | 0 | 0 |
| Deep Q-network using reservoir computing with multi-layered readout | Mar 3, 2022 | Reinforcement Learning (RL)Time Series | —Unverified | 0 | 0 |
| An Empirical Exploration of Deep Recurrent Connections and Memory Cells Using Neuro-Evolution | Sep 20, 2019 | Neural Architecture SearchTime Series | —Unverified | 0 | 0 |
| Optimally adaptive Bayesian spectral density estimation for stationary and nonstationary processes | Mar 4, 2020 | Density EstimationTime Series | —Unverified | 0 | 0 |
| Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data | Oct 7, 2024 | Time SeriesTransfer Learning | —Unverified | 0 | 0 |
| Optimal model-free prediction from multivariate time series | Jun 18, 2015 | PredictionTime Series | —Unverified | 0 | 0 |
| Optimal Policies for Observing Time Series and Related Restless Bandit Problems | Mar 29, 2017 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Optimal Prediction Intervals for Macroeconomic Time Series Using Chaos and NSGA II | Feb 23, 2021 | PredictionPrediction Intervals | —Unverified | 0 | 0 |
| Optimal Sampling Designs for Multi-dimensional Streaming Time Series with Application to Power Grid Sensor Data | Mar 14, 2023 | Computational EfficiencyTime Series | —Unverified | 0 | 0 |
| Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting | Jan 31, 2021 | Decision MakingManagement | —Unverified | 0 | 0 |
| Optimal Stochastic Trace Estimation in Generative Modeling | Feb 26, 2025 | Image GenerationTime Series | —Unverified | 0 | 0 |
| Optimal Stopping with Gaussian Processes | Sep 22, 2022 | Gaussian ProcessesTime Series | —Unverified | 0 | 0 |
| DeepQC: A Deep Learning System for Automatic Quality Control of In-situ Soil Moisture Sensor Time Series Data | Nov 12, 2023 | Anomaly DetectionTime Series | —Unverified | 0 | 0 |
| Optimal Time-Series Motifs | May 3, 2015 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Deep Probabilistic Time Series Forecasting using Augmented Recurrent Input for Dynamic Systems | Jun 3, 2021 | DecoderManagement | —Unverified | 0 | 0 |
| Optimal training of finitely-sampled quantum reservoir computers for forecasting of chaotic dynamics | Sep 2, 2024 | DenoisingQuantum Machine Learning | —Unverified | 0 | 0 |
| Learning in Feedforward Neural Networks Accelerated by Transfer Entropy | Apr 29, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Optimal Transport Based Change Point Detection and Time Series Segment Clustering | Nov 4, 2019 | Change Point DetectionClustering | —Unverified | 0 | 0 |
| Learning Individualized Cardiovascular Responses from Large-scale Wearable Sensors Data | Dec 4, 2018 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |