Felipe Llinares-Lopez | DeepAI

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∙ 05/25/2023

Differentiable Clustering with Perturbed Spanning Forests

We introduce a differentiable clustering method based on minimum-weight ...

0 Lawrence Stewart, et al. ∙

∙ 05/19/2022

Learning Energy Networks with Generalized Fenchel-Young Losses

Energy-based models, a.k.a. energy networks, perform inference by optimi...

0 Mathieu Blondel, et al. ∙

∙ 05/31/2021

Efficient and Modular Implicit Differentiation

Automatic differentiation (autodiff) has revolutionized machine learning...

0 Mathieu Blondel, et al. ∙

∙ 11/07/2020

Graph Kernels: State-of-the-Art and Future Challenges

Graph-structured data are an integral part of many application domains, ...

95 Karsten Borgwardt, et al. ∙

∙ 06/04/2019

Wasserstein Weisfeiler-Lehman Graph Kernels

Graph kernels are an instance of the class of R-Convolution kernels, whi...

0 Matteo Togninalli, et al. ∙

∙ 08/24/2015

Searching for significant patterns in stratified data

Significant pattern mining, the problem of finding itemsets that are sig...

0 Felipe Llinares-Lopez, et al. ∙

∙ 02/15/2015

Fast and Memory-Efficient Significant Pattern Mining via Permutation Testing

We present a novel algorithm, Westfall-Young light, for detecting patter...

0 Felipe Llinares-Lopez, et al. ∙

∙ 07/01/2014

Significant Subgraph Mining with Multiple Testing Correction

The problem of finding itemsets that are statistically significantly enr...

0 Mahito Sugiyama, et al. ∙

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