2 citations · 4 across the 13 of their papers we have counts for
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Approximating Latent Manifolds in Neural Networks via Vanishing Ideals
Nico Pelleriti, Max Zimmer, Elias Wirth +1
Deep neural networks have reshaped modern machine learning by learning powerful latent representations that often align with the manifold hypothesis: high-dimensional data lie on l…
Approximate Vanishing Ideal Computations at Scale
Elias Wirth, Hiroshi Kera, Sebastian Pokutta
The vanishing ideal of a set of points is the set of polynomials that evaluate to over all points $\mathbf{x}…
Conditional Gradients for the Approximate Vanishing Ideal
Elias Wirth, Sebastian Pokutta
The vanishing ideal of a set of points is the set of polynomials that evaluate to over all points and admits an efficient represent…
Efficient Online-Bandit Strategies for Minimax Learning Problems
Christophe Roux, Elias Wirth, Sebastian Pokutta +1
Several learning problems involve solving min-max problems, e.g., empirical distributional robust learning or learning with non-standard aggregated losses. More specifically, these…