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Workshop
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Kernel Mirror Prox and RKHS Gradient Flow for Mixed Functional Nash Equilibrium
Pavel Dvurechenskii · Jia-Jie Zhu
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Workshop
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Weisfeiler-Lehman Graph Kernel Method: A New Approach to Weak Chemical Tagging
Yuan-Sen Ting · Bhavesh Sharma
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Workshop
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Fri 14:10
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An Exact Kernel Equivalence for Finite Classification Models
Brian Bell · Michael Geyer · David Glickenstein · Amanda Fernandez · Juston Moore
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Workshop
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Meta-Learning Deep Kernels for Latent Force Inference
Jacob Moss · Felix Opolka · Jeremy England · Pietro Lió
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Workshop
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Implementing block-sparse matrix multiplication kernels using Triton
Priya Mishra · Trevor Gale · Matei Zaharia · Cliff Young · Deepak Narayanan
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Workshop
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Fri 19:00
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Equivariant Representation Learning with Equivariant Convolutional Kernel Networks
Soutrik Roy Chowdhury · Johan Suykens
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Workshop
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Fri 19:00
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The Exact Sample Complexity Gain from Invariances for Kernel Regression
Behrooz Tahmasebi · Stefanie Jegelka
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Poster
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Tue 14:00
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Analyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent Kernels
Xuchen You · Shouvanik Chakrabarti · Boyang Chen · Xiaodi Wu
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Workshop
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Diffusion map particle systems for generative modeling
Fengyi Li · Youssef Marzouk
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