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Dexiong Chen
Dexiong Chen
Verified email at bsse.ethz.ch - Homepage
Title
Cited by
Cited by
Year
A kernel perspective for regularizing deep neural networks
A Bietti, G Mialon, D Chen, J Mairal
International Conference on Machine Learning, 664-674, 2019
492019
Convolutional kernel networks for graph-structured data
D Chen, L Jacob, J Mairal
International Conference on Machine Learning, 1576-1586, 2020
322020
Biological sequence modeling with convolutional kernel networks
D Chen, L Jacob, J Mairal
Bioinformatics 35 (18), 3294-3302, 2019
182019
A trainable optimal transport embedding for feature aggregation and its relationship to attention
G Mialon, D Chen, A d'Aspremont, J Mairal
arXiv preprint arXiv:2006.12065, 2020
142020
Recurrent kernel networks
D Chen, L Jacob, J Mairal
Advances in Neural Information Processing Systems 32, 2019
142019
Graphit: Encoding graph structure in transformers
G Mialon, D Chen, M Selosse, J Mairal
arXiv preprint arXiv:2106.05667, 2021
112021
Predicting transcription factor binding sites with convolutional kernel networks
D Chen, L Jacob, J Mairal
bioRxiv 10, 217257, 2017
22017
A trainable optimal transport embedding for feature aggregation
G Mialon, D Chen, A d’Aspremont, J Mairal
International Conference on Learning Representations (ICLR), 2020
12020
Structure-Aware Transformer for Graph Representation Learning
D Chen, L O'Bray, K Borgwardt
arXiv preprint arXiv:2202.03036, 2022
2022
Structured Data Modeling with Deep Kernel Machines and Applications in Computational Biology
D Chen
Université Grenoble Alpes [2020-....], 2020
2020
Modélisation de données structurées avec des machines profondes à noyaux et des applications en biologie computationnelle
D Chen
Université Grenoble Alpes [2020-....], 2020
2020
An Optimal Transport Kernel for Feature Aggregation and its Relationship to Attention
G Mialon, D Chen, A d'Aspremont, J Mairal
2020
Structure-Aware Transformer for Graph Representation Learning Download PDF
L O'Bray, D Chen, K Borgwardt
C10
D Chen, L Jacob, J Mairal
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Articles 1–14