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Morgane Ayle

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2023
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  - journals/corr/abs-2301-00738
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Morgane Ayle, Jan Schuchardt, Lukas Gosch, Daniel Zügner, Stephan Günnemann:
Training Differentially Private Graph Neural Networks with Random Walk Sampling. CoRR abs/2301.00738 (2023)
2022
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Daniel Zügner, Bertrand Charpentier, Morgane Ayle, Sascha Geringer, Stephan Günnemann:
End-to-End Learning of Probabilistic Hierarchies on Graphs. ICLR 2022
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John Rachwan, Daniel Zügner, Bertrand Charpentier, Simon Geisler, Morgane Ayle, Stephan Günnemann:
Winning the Lottery Ahead of Time: Efficient Early Network Pruning. ICML 2022: 18293-18309
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  - journals/corr/abs-2206-10451
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John Rachwan, Daniel Zügner, Bertrand Charpentier, Simon Geisler, Morgane Ayle, Stephan Günnemann:
Winning the Lottery Ahead of Time: Efficient Early Network Pruning. CoRR abs/2206.10451 (2022)
[i1]
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  - journals/corr/abs-2207-04227
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Morgane Ayle, Bertrand Charpentier, John Rachwan, Daniel Zügner, Simon Geisler, Stephan Günnemann:
On the Robustness and Anomaly Detection of Sparse Neural Networks. CoRR abs/2207.04227 (2022)
2020
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  - conf/aaai/AyleTZAA20
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Morgane Ayle, Jimmy Tekli, Julia El Zini, Boulos El Asmar, Mariette Awad:
BAR - A Reinforcement Learning Agent for Bounding-Box Automated Refinement. AAAI 2020: 2561-2568

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