most citedLearning nonparametric differential equations with operator-valued kernels and gradient matching

4 citations · 4 across the 3 of their papers we have counts for

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stat.ML2024

Deep Sketched Output Kernel Regression for Structured Prediction

Tamim El Ahmad, Junjie Yang, Pierre Laforgue +1

By leveraging the kernel trick in the output space, kernel-induced losses provide a principled way to define structured output prediction tasks for a wide variety of output modalit…

stat.ML2023

Exploiting Edge Features in Graphs with Fused Network Gromov-Wasserstein Distance

Junjie Yang, Matthieu Labeau, Florence d'Alché-Buc

Pairwise comparison of graphs is key to many applications in Machine learning ranging from clustering, kernel-based classification/regression and more recently supervised graph pre…