Research map / Probabilistic and scientific modeling / Dynamical systems
A Temporal Kernel Approach for Deep Learning with Continuous-time Information
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use the temporal-kernel approach instead of RNN-ODE | RNN time-series prediction · Time-series prediction task | prediction performance | Helped |
| Use RNN-ODE instead of the temporal-kernel approach | RNN time-series prediction · Time-series prediction task | prediction performance | Hurt |
| Use RNN-ODE instead of the temporal-kernel approach | RNN time-series prediction · Time-series prediction task | stability | Hurt |
| Use RNN-TPP instead of vanilla RNN | RNN time-series prediction · Time-series prediction task | prediction performance | No clear effect |
Closest papers by meaning
- CKConv: Continuous Kernel Convolution For Sequential Data (ICLR 2022 · similarity 0.88)
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- UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio Video Point Cloud Time-Series and Image Recognition (CVPR 2024 · similarity 0.84)
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