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Yann Chevaleyre

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Alexandre Araujo

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Publications

2022
[i16]
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  - journals/corr/abs-2206-01715
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  - https://dblp.org/rec/journals/corr/abs-2206-01715
Raphael Ettedgui, Alexandre Araujo, Rafael Pinot, Yann Chevaleyre, Jamal Atif:
Towards Evading the Limits of Randomized Smoothing: A Theoretical Analysis. CoRR abs/2206.01715 (2022)
2021
[c54]
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  - conf/aaai/AraujoNCA21
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Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif:
On Lipschitz Regularization of Convolutional Layers using Toeplitz Matrix Theory. AAAI 2021: 6661-6669
2020
[c49]
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  - conf/ecai/AraujoNCA20
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Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif:
Understanding and Training Deep Diagonal Circulant Neural Networks. ECAI 2020: 945-952
[i9]
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  - journals/corr/abs-2006-08391
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Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif:
Fast & Accurate Method for Bounding the Singular Values of Convolutional Layers with Application to Lipschitz Regularization. CoRR abs/2006.08391 (2020)
2019
[i7]
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  - journals/corr/abs-1901-10255
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Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif:
On the Expressive Power of Deep Fully Circulant Neural Networks. CoRR abs/1901.10255 (2019)
[i6]
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  - journals/corr/abs-1903-10219
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Alexandre Araujo, Rafael Pinot, Benjamin Négrevergne, Laurent Meunier, Yann Chevaleyre, Florian Yger, Jamal Atif:
Robust Neural Networks using Randomized Adversarial Training. CoRR abs/1903.10219 (2019)
2018
[c42]
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  - conf/eccv/AraujoNCA18
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Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif:
Training Compact Deep Learning Models for Video Classification Using Circulant Matrices. ECCV Workshops (4) 2018: 271-286
[i3]
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  - journals/corr/abs-1810-01140
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Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif:
Training compact deep learning models for video classification using circulant matrices. CoRR abs/1810.01140 (2018)

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