| Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA | Jun 17, 2021 | Dimensionality ReductionDisentanglement | CodeCode Available | 1 | 5 |
| Closed-Form Diffeomorphic Transformations for Time Series Alignment | Jun 16, 2022 | CPUForm | CodeCode Available | 1 | 5 |
| Diffusion Transformers for Tabular Data Time Series Generation | Apr 10, 2025 | Tabular Data GenerationTime Series | CodeCode Available | 1 | 5 |
| CMoS: Rethinking Time Series Prediction Through the Lens of Chunk-wise Spatial Correlations | May 25, 2025 | Time SeriesTime Series Forecasting | CodeCode Available | 1 | 5 |
| CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting | Jun 8, 2024 | AttributeMamba | CodeCode Available | 1 | 5 |
| Automated Evolutionary Approach for the Design of Composite Machine Learning Pipelines | Jun 26, 2021 | BIG-bench Machine LearningManagement | CodeCode Available | 1 | 5 |
| Diffusion models for missing value imputation in tabular data | Oct 31, 2022 | ImputationMissing Values | CodeCode Available | 1 | 5 |
| DIME: Fine-grained Interpretations of Multimodal Models via Disentangled Local Explanations | Mar 3, 2022 | Decision MakingDisentanglement | CodeCode Available | 1 | 5 |
| A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis | Oct 18, 2023 | Anomaly DetectionImputation | CodeCode Available | 1 | 5 |
| Diffusion-based Conditional ECG Generation with Structured State Space Models | Jan 19, 2023 | State Space ModelsSynthetic Data Generation | CodeCode Available | 1 | 5 |
