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Second-order methods for quartically-regularised cubic polynomials, with applications to high-order tensor methods
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Zhu, W
Mathematical Programming
volume abs/2308.15336
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Wasserstein distributional robustness of neural networks
Bai, X
Jiang, Y
He, G
Obłój, J
Advances in Neural Information Processing Systems
volume 36
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Kernelized Cumulants: Beyond Kernel Mean Embeddings
Bonnier, P
Oberhauser, H
Szabó, Z
Advances in Neural Information Processing Systems
volume 36
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Tangent space and dimension estimation with the Wasserstein distance
Lim, U
Oberhauser, H
Nanda, V
SIAM Journal on Applied Algebra and Geometry
volume 8
issue 3
650-685
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Convergence and Implicit Regularization Properties of Gradient Descent for Deep Residual Networks.
Cont, R
Rossier, A
Xu, R
CoRR
volume abs/2204.07261
(2022)
Asymptotic analysis of deep residual networks
Cont, R
Rossier, A
Xu, R
arXiv
(15 Dec 2022)
Fast unfolding of communities in large networks: 15 years later
Blondel, V
Guillaume, J
Lambiotte, R
(10 Nov 2023)
Smooth integers and de Bruijn's approximation Ʌ
Gorodetsky, O
Proceedings of the Royal Society of Edinburgh Section A Mathematics
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How does over-squashing affect the power of GNNs?
Giovanni, F
Rusch, T
Bronstein, M
Deac, A
Lackenby, M
Mishra, S
Velickovic, P
Transactions of Machine Learning Research
volume abs/2306.03589