| AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting | Feb 14, 2025 | Multivariate Time Series ForecastingRepresentation Learning | CodeCode Available | 1 | 5 |
| Deep Counterfactual Estimation with Categorical Background Variables | Oct 11, 2022 | Causal Inferencecounterfactual | CodeCode Available | 1 | 5 |
| Attention to Warp: Deep Metric Learning for Multivariate Time Series | Mar 28, 2021 | Dynamic Time WarpingMetric Learning | CodeCode Available | 1 | 5 |
| Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting | Sep 4, 2021 | Irregular Time SeriesRepresentation Learning | CodeCode Available | 1 | 5 |
| Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective | Feb 18, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 1 | 5 |
| Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths | Mar 19, 2023 | Dynamic Time WarpingInformation Retrieval | CodeCode Available | 1 | 5 |
| Attention based Multi-Modal New Product Sales Time-series Forecasting | Aug 23, 2020 | DecoderNew Product Sales Forecasting | CodeCode Available | 1 | 5 |
| Deep Autoregressive Models with Spectral Attention | Jul 13, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Attention as an RNN | May 22, 2024 | GPUTime Series | CodeCode Available | 1 | 5 |
| Deep Attentive Time Warping | Sep 13, 2023 | Dynamic Time WarpingMetric Learning | CodeCode Available | 1 | 5 |
