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I am very interested in your project. This year, my research group published a paper titled "A Hyper-Transformer Model for Controllable Pareto Front Learning with Split Feasibility Constraints," which explores learning the Pareto front. Our results demonstrate the superior performance of the Transformer architecture compared to MLPs. We would greatly appreciate it if you could consider adding a module related to model architecture to your libmoon library.
Best regards,
Tuan
The text was updated successfully, but these errors were encountered:
Dear Xiaoyuan Zhang,
I am very interested in your project. This year, my research group published a paper titled "A Hyper-Transformer Model for Controllable Pareto Front Learning with Split Feasibility Constraints," which explores learning the Pareto front. Our results demonstrate the superior performance of the Transformer architecture compared to MLPs. We would greatly appreciate it if you could consider adding a module related to model architecture to your libmoon library.
Best regards,
Tuan
The text was updated successfully, but these errors were encountered: