| Automatic Posterior Transformation for Likelihood-Free Inference | May 17, 2019 | Bayesian InferenceTime Series | CodeCode Available | 1 | 5 |
| Unlocking the Potential of Deep Learning in Peak-Hour Series Forecasting | Jul 4, 2023 | DecoderTime Series | CodeCode Available | 1 | 5 |
| Causal Forecasting:Generalization Bounds for Autoregressive Models | Nov 18, 2021 | Learning TheoryTime Series | CodeCode Available | 1 | 5 |
| Detecting Anomalies within Time Series using Local Neural Transformations | Feb 8, 2022 | Anomaly DetectionEpidemiology | CodeCode Available | 1 | 5 |
| A Large-Scale Annotated Multivariate Time Series Aviation Maintenance Dataset from the NGAFID | Oct 13, 2022 | ManagementTime Series | CodeCode Available | 1 | 5 |
| BlackGoose Rimer: Harnessing RWKV-7 as a Simple yet Superior Replacement for Transformers in Large-Scale Time Series Modeling | Mar 8, 2025 | Meta-LearningTime Series | CodeCode Available | 1 | 5 |
| Blending gradient boosted trees and neural networks for point and probabilistic forecasting of hierarchical time series | Oct 19, 2023 | DiversityFeature Engineering | CodeCode Available | 1 | 5 |
| Diffusion Generative Models in Infinite Dimensions | Dec 1, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Don't Pay Attention to the Noise: Learning Self-supervised Representations of Light Curves with a Denoising Time Series Transformer | Jul 6, 2022 | DenoisingTime Series | CodeCode Available | 1 | 5 |
| Enhancing Multivariate Time Series Classifiers through Self-Attention and Relative Positioning Infusion | Feb 13, 2023 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
