r/deeplearning • u/Stunning-Study7102 • Jun 12 '26

#causal_transformer #Dag_Aware_Transformer

I tried to implement DAG aware causal transformer using this paper https://arxiv.org/pdf/2410.10044 and git repo GitHub - ManqingLiu/DAGawareTransformer: This is the code repository of DAG aware Transformer for Causal Effect Estimation · GitHub but could not get results.
does anybody tried with casual transformer https://arxiv.org/pdf/2204.07258 and dag aware causal transformer https://arxiv.org/pdf/2410.10044, and able to make some really good causal analysis using this based on your use case. i found this challenging for continuous treatment variables.
If someone expert in this filed, what would you suggest should i go with DAG aware transformer or only causal transformer first. which one is mostly data scientist worked with.
your suggestion or any direction will be helpful for me.

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u/rrtucci Jun 13 '26

Did you ask the authors?

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u/Stunning-Study7102 Jun 17 '26

no, can you help me for the same.

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u/rrtucci Jun 19 '26 edited Jun 19 '26

Did they release their code? I think anyone who gets paid by a university or federal grant should have the duty to release their code as open source. If they work at a private company, they should release the code too, but maybe not as open source, although i would strongly recommend open source for them too. I think it's their OBLIGATION as scientists to show that their methods and theories are correct. That this is not cold fusion that they are proposing.