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On the Trajectories of SGD Without Replacement von Beneventano, Pierfrancesco

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Edge of Stochastic Stability: Revisiting the Edge of Stability for SGD von Andreyev, Arseniy, Beneventano, Pierfrancesco

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On the Trajectories of SGD Without Replacement von Beneventano, Pierfrancesco

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How Neural Networks Learn the Support is an Implicit Regularization Effect of SGD von Beneventano, Pierfrancesco, Pinto, Andrea, Poggio, Tomaso

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Deep neural network approximation theory for high-dimensional functions von Beneventano, Pierfrancesco, Cheridito, Patrick, Graeber, Robin, Jentzen, Arnulf, Kuckuck, Benno

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High-dimensional approximation spaces of artificial neural networks and applications to partial differential equations von Beneventano, Pierfrancesco, Cheridito, Patrick, Jentzen, Arnulf, von Wurstemberger, Philippe

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Models with higher effective dimensions tend to produce more uncertain estimates von Maeso, Arnald Puy, Beneventano, Pierfrancesco, Levin, Simon A, Lo Piano, Samuele, Portaluri, Tommaso, Saltelli, Andrea

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Deep neural network approximation theory for high-dimensional functions von Beneventano, Pierfrancesco, Cheridito, Patrick, Graeber, Robin, Jentzen, Arnulf, Kuckuck, Benno

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High-dimensional approximation spaces of artificial neural networks and applications to partial differential equations von Beneventano, Pierfrancesco, Cheridito, Patrick, Jentzen, Arnulf, Philippe von Wurstemberger

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