Disentangling Time Series Representations via Contrastive Independence-of-Support on l-Variational Inference
Authors: Khalid Oublal, Said Ladjal, David Benhaiem, Emmanuel LE BORGNE, François Roueff
ICLR 2024 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We evaluate our method qualitatively and quantitatively across various datasets with ground-truth labels, examining the generalization capabilities of the learned representations on correlated data. |
| Researcher Affiliation | Collaboration | Institute Polytechnique de Paris, Telecom Paris LTCI/S2A, One Tech Total Energies, DS&AI |
| Pseudocode | Yes | D.8 PSEUDOCODE DIOSC Cosine Similarity |
| Open Source Code | Yes | Code available at https://institut-polytechnique-de-paris.github. io/time-disentanglement-lib. |
| Open Datasets | Yes | Datasets. We conducted experiments on three public datasets: UK-DALE (Kelly & Knottenbelt, 2015), REDD (Kolter & Johnson, 2011), and REFIT (Murray et al., 2017) providing power measurements from multiple homes. |
| Dataset Splits | No | No explicit mention of a separate validation dataset split (percentage or count) was found in the paper. The paper specifies training and testing samples, for example: 'scenario A involved training on REFIT and testing on UK-DALE, 18.3k samples... the test set consisted of 3.5k samples'. |
| Hardware Specification | Yes | The experiments are performed on four NVIDIA A100 GPUs. |
| Software Dependencies | No | The paper does not provide specific version numbers for software dependencies or libraries used in the implementation, such as 'Python 3.8, PyTorch 1.9, and CUDA 11.1'. |
| Experiment Setup | Yes | Based on the grid search, we found that DIOSC s best performance is obtained by (λ = 2.3, β = 1.5). The experiments are performed on four NVIDIA A100 GPUs. Hyperparameter settings are available in Appendix D. And, we set L = 16, and we fix an time window input to 256 steps, for the latent space dimension we fix dz = 16. |