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Julien Horwood

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Conference and Workshop Papers

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2024
[c1]
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  dblp key:
  - conf/icml/ChenCHZHH0H24
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Xuexin Chen, Ruichu Cai, Zhengting Huang, Yuxuan Zhu, Julien Horwood, Zhifeng Hao, Zijian Li, José Miguel Hernández-Lobato:
Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation. ICML 2024

Informal and Other Publications

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2024
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  - journals/corr/abs-2402-08845
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Xuexin Chen, Ruichu Cai, Zhengting Huang, Yuxuan Zhu, Julien Horwood, Zhifeng Hao, Zijian Li, José Miguel Hernández-Lobato:
Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation. CoRR abs/2402.08845 (2024)
2023
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  - journals/corr/abs-2306-14861
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Wenlin Chen, Julien Horwood, Juyeon Heo, José Miguel Hernández-Lobato:
Leveraging Task Structures for Improved Identifiability in Neural Network Representations. CoRR abs/2306.14861 (2023)
2020
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  - journals/corr/abs-2004-14308
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Julien Horwood, Emmanuel Noutahi:
Molecular Design in Synthetically Accessible Chemical Space via Deep Reinforcement Learning. CoRR abs/2004.14308 (2020)
2019
[i1]
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  - journals/corr/abs-1905-11577
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Emmanuel Noutahi, Dominique Beaini, Julien Horwood, Prudencio Tossou:
Towards Interpretable Sparse Graph Representation Learning with Laplacian Pooling. CoRR abs/1905.11577 (2019)

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