For the most up-to-date publication information, see my Google Scholar Profile.
Recent Machine Learning Papers
- Henderson, Clevert, Montanari. Improving Molecular Graph Neural Network Explainability with Orthonormalization and Induced Sparsity. ICML 2021
- Humer, Heberle, Montanari, Wolf, Huber, Henderson, Heinrich, Streit. ChemInformatics Model Explorer (CIME): exploratory analysis of chemical model explanations. Journal of Cheminformatics 2022
Minor papers and workshops
- Henderson, Clevert, Montanari. Gini in a Bottleneck: Sparse Molecular Representations for Graph Convolutional Neural Networks. Machine Learning for Molecules Workshop @ NeurIPS 2020
- Henderson, Rothe. Picasso: A Modular Framework for Visualizing the Learning Process of Neural Network Image Classifiers. Journal of Open Research Software 2017
Old Chemistry Papers
- Lee, Henderson, Kaminsky, Nelson, Nguyen, Settje, Schmidt, Feng. Pseudo‐Fivefold Diffraction Symmetries in Tetrahedral Packing. Chemistry–A European Journal 2013
- Jana, Henderson, Harbrecht, Lidin. Site Preference and Ordering Induced by Au Substitution in the γ-Brass Related Complex Au–Cr–Zn Phases. Inorganic Chemistry 2013