In his doctoral thesis, Michael Roop develops numerical methods that allow finding physically reliable approximate solutions ...
In a recent study published in Nature Communications, researchers created a memristor that uses a built-in oxygen gradient to ...
Clone this repository and change into the project directory: If a CUDA-enabled GPU is available, we strongly recommend installing the GPU version of PyTorch and running the notebooks on GPU. GPU ...
Abstract: This paper proposes and analyzes a gradient-type algorithm based on Burer-Monteiro factorization, called the Asymmetric Projected Gradient Descent (APGD), for reconstructing the point set ...
Kwangjun Ahn, Senior Researcher at Microsoft Research AI Frontiers, introduces Dion, a next-generation optimizer in the style of Muon that orthonormalizes only the top-r subspace via amortized power ...
Recent work has shown that orthonormal matrix updates speed up neural network optimization, improve training stability, and offer better hyperparameter transfer across model sizes. Applying these ...
In GAMA's manual, I observed that diffusion can be performed by customizing uniform/irregular gradient matrices, But when writing code, keyword matrices and propagation cannot be used simultaneously.
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