Research map / Probabilistic and scientific modeling / Molecules and proteins
Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use frequency-domain GP factor trajectories with inverse Fourier reconstruction and a second-level GP, instead of NNDTN | Dynamic tensor decomposition · Beijing Air Quality | RMSE: 0.337 \pm 0.006 -> 0.315 \pm 0.001 | Helped |
| Use frequency-domain GP factor trajectories with inverse Fourier reconstruction and a second-level GP, instead of NNDTN | Dynamic tensor decomposition · Mobile Ads | RMSE: 0.645 \pm 0.002 -> 0.635 \pm 0.003 | Helped |
| Use frequency-domain GP factor trajectories with inverse Fourier reconstruction and a second-level GP, instead of GPCT | Dynamic tensor decomposition · Beijing Air Quality | test log-likelihood: -0.406 \pm 0.001 -> -0.264 \pm 0.003 | Helped |
| Use frequency-domain GP factor trajectories with inverse Fourier reconstruction and a second-level GP, instead of GPCT | Dynamic tensor decomposition · Mobile Ads | test log-likelihood: -0.737 \pm 0.005 -> -0.705 \pm 0.003 | Helped |
| Use frequency-domain GP factor trajectories with inverse Fourier reconstruction and a second-level GP, instead of GPCT | Dynamic tensor decomposition · DBLP | test log-likelihood: 0.105 \pm 0.009 -> 0.201\pm 0.019 | Helped |
| Increase discrete-time steps beyond 50 | Discrete-time methods · Experiments across datasets | RMSE | No clear effect |
Closest papers by meaning
- Streaming Factor Trajectory Learning for Temporal Tensor Decomposition (NeurIPS 2023 · similarity 0.92)
- Doubly Decomposing Nonparametric Tensor Regression (ICML 2016 · similarity 0.90)
- Efficient Nonparametric Tensor Decomposition for Binary and Count Data (AAAI 2024 · similarity 0.89)
- Functional Complexity-adaptive Temporal Tensor Decomposition (NeurIPS 2025 · similarity 0.88)
- Functional Bayesian Tucker Decomposition for Continuous-indexed Tensor Data (ICLR 2024 · similarity 0.86)
- Deep Rank-One Tensor Functional Factorization for Multi-Dimensional Data Recovery (AAAI 2025 · similarity 0.85)
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