Gabriel Peyré
PulseAugur coverage of Gabriel Peyré — every cluster mentioning Gabriel Peyré across labs, papers, and developer communities, ranked by signal.
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New research explores gradient flow convergence in wide neural networks
Researchers have published a paper exploring the global convergence of gradient flow in wide, shallow neural network models, extending beyond previously studied homogeneous nonlinearities. The study, building on prior w…
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New Book Explores Optimal Transport for Machine Learning Applications
A new book titled "Optimal Transport for Machine Learners" has been released, detailing the application of optimal transport (OT) techniques within the machine learning field. The book covers core OT concepts such as Mo…
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Muon framework offers new spectral Wasserstein distances for deep learning
Researchers have introduced a new framework called Muon to stabilize deep-learning optimization using spectral normalizations, particularly for matrix-shaped parameters. This work idealizes the continuous-time, vanishin…