Towards Interpretable Sparse Graph Representation Learning with Laplacian Pooling. - Emmanuel Noutahi; Dominique Beaini; Julien Horwood; Prudencio Tossou (CoRR, 2019)

Molecular Design in Synthetically Accessible Chemical Space via Deep Reinforcement Learning. - Julien Horwood; Emmanuel Noutahi (CoRR, 2020)

Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation. - Xuexin Chen; Ruichu Cai; Zhengting Huang; Yuxuan Zhu 001; Julien Horwood; Zhifeng Hao; Zijian Li 001; José Miguel Hernández-Lobato (ICML, 2024)

Leveraging Task Structures for Improved Identifiability in Neural Network Representations. - Wenlin Chen; Julien Horwood; Juyeon Heo; José Miguel Hernández-Lobato (Trans. Mach. Learn. Res., 2024)