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05/25/2023
Differentiable Clustering with Perturbed Spanning Forests
We introduce a differentiable clustering method based on minimum-weight ...
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05/19/2022
Learning Energy Networks with Generalized Fenchel-Young Losses
Energy-based models, a.k.a. energy networks, perform inference by optimi...
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05/31/2021
Efficient and Modular Implicit Differentiation
Automatic differentiation (autodiff) has revolutionized machine learning...
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11/07/2020
Graph Kernels: State-of-the-Art and Future Challenges
Graph-structured data are an integral part of many application domains, ...
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06/04/2019
Wasserstein Weisfeiler-Lehman Graph Kernels
Graph kernels are an instance of the class of R-Convolution kernels, whi...
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08/24/2015
Searching for significant patterns in stratified data
Significant pattern mining, the problem of finding itemsets that are sig...
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02/15/2015
Fast and Memory-Efficient Significant Pattern Mining via Permutation Testing
We present a novel algorithm, Westfall-Young light, for detecting patter...
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07/01/2014