--- tags: - text-to-image - lora - diffusers - template:diffusion-lora widget: - text: Screenshot parameters: negative_prompt: Identifiability of the latent space output: url: images/Screenshot 2024-11-29 at 02.26.15.png base_model: ali-vilab/In-Context-LoRA instance_prompt: Time Series, Disentanglement, Identifiability license: apache-2.0 --- # TimeCSL <Gallery /> ## Model description # Identifiability Guarantees For Time Series Representation via Contrastive Sparsity-inducing Official code for the paper **Identifiability Guarantees For Time Series Representation via Contrastive Sparsity-inducing**  We define the identifiability problem for time series variable models, where factors are represented by latent slots. We are thrilled to announce the release of 221 models, now available in the `checkpoints` folder and downloadable from [https://huggingface.co/anonymousModelsTimeCSL/TimeCSL](https://huggingface.co/anonymousModelsTimeCSL/TimeCSL). These models are part of our commitment to advancing machine learning and equipping the community with state-of-the-art tools for time series analysis. Visit the repository to explore the models and seamlessly integrate them into your projects. Our code is available at https://anonymous.4open.science/r/TimeCSL-4320.  ### Some Results   ## Trigger words You should use `Time Series` to trigger the image generation. You should use `Disentanglement` to trigger the image generation. You should use `Identifiability` to trigger the image generation. ## Download model [Download](/anonymousModelsTimeCSL/TimeCSL/tree/main) them in the Files & versions tab.