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The current implementation of integrated gradients interpolates on the entire patch mask. However, this introduces dependencies between upstream nodes and downstream nodes. Let f_k(x) denote the outpu…
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I am trying to calculate integrated gradients for a specific model and multiple inputs in a loop. Do we need to set the model parameter and input gradients to zero manually? What is the default gradie…
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I would like to calculate feature importances using integrated gradients, as I am hoping this calculation will be faster than the SHAP KernelExplainer. Unfortunately, the embeddding layer is non-diffe…
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Hi, I'm trying to use Integrated Gradients on a simple DQN model in my MacBook using the MPS backend.
`model = IntegratedGradients(model)`
`attribution = xai.attribute(torch.tensor(ob, dtype = to…
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## ❓ Questions and Help
Hello! I am trying to learn about about Captum and how to use it. I am trying to use some of the Captum model interpretation tools such as Integrated Gradients (and eventu…
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Hi everyone,
I'm trying to use Camptum with OneNet using Allennlp, this is the model structure
```
OneNet(
(text_field_embedder): BasicTextFieldEmbedder(
(token_embedder_token_characte…
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How can the integrated gradient explainer be used for a model with multiple outputs (e.g. a multi-task classification model where each output can have few possible values)? Can you please provide a wo…
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At the moment the [`IntegratedGradients`](https://github.com/SeldonIO/alibi/blob/782ad53504d347f92c0ceb1cfbf5d1c376ceb677/alibi/explainers/integrated_gradients.py#L305) class only supports tf.keras an…
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### Checked other resources
- [X] I added a very descriptive title to this issue.
- [X] I searched the LangChain documentation with the integrated search.
- [X] I used the GitHub search to find a sim…
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