| Gaussian Process Kernels for Popular State-Space Time Series Models | Oct 25, 2016 | Gaussian Processesregression | —Unverified | 0 |
| Gaussian variational approximation for high-dimensional state space models | Jan 24, 2018 | State Space ModelsVocal Bursts Intensity Prediction | —Unverified | 0 |
| Gaussian variational approximation with sparse precision matrices | May 18, 2016 | State Space ModelsTime Series | —Unverified | 0 |
| GDSR: Global-Detail Integration through Dual-Branch Network with Wavelet Losses for Remote Sensing Image Super-Resolution | Dec 31, 2024 | Image Super-ResolutionState Space Models | —Unverified | 0 |
| Gene42: Long-Range Genomic Foundation Model With Dense Attention | Mar 20, 2025 | DecoderState Space Models | —Unverified | 0 |
| Generalizable, real-time neural decoding with hybrid state-space models | Jun 5, 2025 | GPUState Space Models | —Unverified | 0 |
| Generalized AdaGrad (G-AdaGrad) and Adam: A State-Space Perspective | May 31, 2021 | BIG-bench Machine LearningState Space Models | —Unverified | 0 |
| Linear-time inference for Gaussian Processes on one dimension | Mar 11, 2020 | Gaussian ProcessesState Space Models | —Unverified | 0 |
| Generating Series for Networks of Chen-Fliess Series | Oct 31, 2020 | State Space Models | —Unverified | 0 |
| Generative learning for nonlinear dynamics | Nov 7, 2023 | Learning TheoryState Space Models | —Unverified | 0 |
