| Molecular design in synthetically accessible chemical space via deep reinforcement learning J Horwood, E Noutahi ACS omega 5 (51), 32984-32994, 2020 | 55 | 2020 |
| Towards interpretable sparse graph representation learning with laplacian pooling E Noutahi, D Beaini, J Horwood, S Giguère, P Tossou arXiv preprint arXiv:1905.11577, 2019 | 36 | 2019 |
| Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation X Chen, R Cai, Z Huang, Y Zhu, J Horwood, Z Hao, Z Li, ... arXiv preprint arXiv:2402.08845, 2024 | | 2024 |
| Leveraging Task Structures for Improved Identifiability in Neural Network Representations W Chen, J Horwood, J Heo, JM Hernández-Lobato ICML Workshop on Spurious Correlations, Invariance and Stability, 2023 | | 2023 |
Emmanuel NoutahiValence LabsVerified email at valencelabs.com
