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Workshop
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Sparse Function-space Representation of Neural Networks
Aidan Scannell · Riccardo Mereu · Paul Chang · Ella Tamir · Joni Pajarinen · Arno Solin
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Workshop
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A max-affine spline approximation of neural networks using the Legendre transform of a convex-concave representation
Adam Perrett · Danny Wood · Gavin Brown
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Workshop
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A Representer Theorem for Vector-Valued Neural Networks: Insights on Weight Decay Training and Widths of Deep Neural Networks
Joseph Shenouda · Rahul Parhi · Kangwook Lee · Robert Nowak
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Workshop
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A Simple and Yet Fairly Effective Defense for Graph Neural Networks
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Workshop
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HiGen: Hierarchical Graph Generative Networks
Mahdi Karami
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Workshop
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A Simple and Yet Fairly Effective Defense for Graph Neural Networks
Sofiane ENNADIR · Yassine Abbahaddou · Michalis Vazirgiannis · Henrik Boström
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Workshop
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Fri 14:10
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Neural Networks Are Graphs! Graph Neural Networks for Equivariant Processing of Neural Networks
David Zhang · Miltiadis (Miltos) Kofinas · Yan Zhang · Yunlu Chen · Gertjan Burghouts · Cees Snoek
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Oral
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Wed 19:48
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Towards Reliable Neural Specifications
Chuqin Geng · Van Nham Le · Xiaojie Xu · Zhaoyue Wang · Arie Gurfinkel · Xujie Si
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Poster
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Tue 17:00
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Towards Reliable Neural Specifications
Chuqin Geng · Van Nham Le · Xiaojie Xu · Zhaoyue Wang · Arie Gurfinkel · Xujie Si
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Workshop
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Reliable coarse-grained turbulent simulations through combined offline learning and neural emulation
Chris Pedersen · Laure Zanna · Joan Bruna · Pavel Perezhogin
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