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Tree Variational Autoencoders
Neural Information Processing Systems
TreeV AE hierarchically divides samples according to their intrinsic characteristics, shedding light on hidden structures in the data.
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Wide Neural Networks as Gaussian Processes: Lessons from Deep Equilibrium Models
Neural Information Processing Systems
In this paper, we specifically investigate the deep equilibrium model (DEQ), an infinite-depth neural network with shared weight matrices across layers.
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The Reliability of OKRidge Method in Solving Sparse Ridge Regression Problems
Neural Information Processing Systems
Sparse ridge regression problems play a significant role across various domains.
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