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# Interpretable ECG Classification With 1D Vision Transformer | Yoni Gottesman
Interpretable ECG Classification With 1D Vision Transformer
[https://yonigottesman.github.io/ecg/vit/deep-learning/2023…
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Read through from c2 - c10 of the books, gathering knowledge asap.
#### Summary
Machine learning has great potential for improving products, processes and research. But computers usually do not …
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Hi all,
I want to use EBM as a GAM to replace the fully connected layer at the end of a large CNN/Transformer to get interpretable output. However, I need to train the EBM like a deep learning model,…
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Anyone want to do interpretable research on deep learning? Let's add a friend to have a detailed chat.
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“Integrative Learning - Multi-modal, Complex and Complete Models” & “Epilogue: You in the Loop” in Thinking with Deep Learning, Chapters 17 & Epilogue; “[Explainable Deep Learning: Concepts, Methods, …
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Hi,
I found the list missed some recent papers:
>[Multimodal Integration] [2022 Nature Biotechnology] Multi-omics single-cell data integration and regulatory inference with graph-linked embedding
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**General Interpretability:**
- [interpretable ml book](https://christophm.github.io/interpretable-ml-book/shapley.html), specifically sections on `learned features`, `Shapley values`, `Influential I…
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gemini : Sure, here are some notes for February 24, 2024:
The Unit Sphere as a Fundamental Abstraction
Imagine a sphere of one unit size or a line segment of size one that can be subdivided into par…
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TTT
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https://arxiv.org/abs/1906.01998
> Despite the widespread usage of machine learning throughout organizations, there are some key principles that are commonly missed. In particular: 1) There are at …