Anyone actively researching Weight Space Learning? [D]

Reddit r/MachineLearning / 4/29/2026

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The post seeks collaborators and mentors for research in “Weight Space Learning,” a branch of machine learning that operates directly in neural network parameter (weight) space rather than only in input-output behavior.
The author describes weight-space learning as a focus on learning, reasoning, and operating within the space of neural network weights.
They encourage interested researchers to connect and highlight a survey paper as a strong starting point for understanding the field.
The shared survey link (arXiv: 2603.10090) is presented as an overview of key concepts and directions in weight-space learning research.

I’m exploring Weight Space Learning and looking to connect with folks and mentors interested in working on research problems in this domain. (i am https://www.barsat.dev/ by the way)

Weight-space learning is a branch of machine learning that focuses on learning, reasoning, and operating directly in the space of neural network parameters (weights) rather than only on input-output behavior.

Interesting field really , I’d be happy to connect.
this survey is a great overview of the field: https://arxiv.org/pdf/2603.10090

submitted by /u/Frosty-Cap-4282
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