In the last few months, we've seen an explosion of products from different companies that have benefited from the open-source nature of NAM, enabling them to make their products offer more for musicians. For many of these, users can point the product at their favorite NAM models (held in a .nam file) and use that model's tone with the product.Arguably, these all "use NAM" in a broad sense. However, the software behind the scenes can vary widely, and that can impact the result. I'm proposing to c

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I'm excited to share a paper I've recently completed: "Slimmable NAM: Slimmable NAM: Neural Amp Models with adjustable runtime computational cost"The paper was accepted for the 2025 NeurIPS workshop on Artificial Intelligence for Music: Where Creativity Meets Computation; I'll be presenting it in 2 weeks in San Diego. In the meantime, anyone can access it here: https://arxiv.org/abs/2511.07470. A video demonstrating the method as well as open-source code and a demo plugin are linked within.What

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