•1 min read•from Machine Learning
Anyone actively researching Weight Space Learning? [D]
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Are you actively researching Weight Space Learning? I’m delving into this fascinating area of machine learning, which emphasizes learning and reasoning directly within the space of neural network parameters, rather than just focusing on input-output behavior. I’m eager to connect with others who share this interest, including potential mentors and collaborators tackling research challenges in this domain. If you're intrigued by innovative approaches in machine learning, let’s explore opportunities together. For a comprehensive overview of the field, check out this insightful survey: [arxiv.org/2603.10090](https://arxiv.org/pdf/2603.100
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
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