|
--- |
|
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. |
|
|