Publications

For an up to date list, please view my Google Scholar

Beyond Euclid: An illustrated guide to modern machine learning with geometric, topological, and algebraic structures \ Sophia Sanborn, Johan Mathe, Mathilde Papillon, Domas Buracas, Hansen Lillemark, Christian Shewmake, Abby Bertics, Xavier Pennec, Nina Miolane. (2024). Machine Learning: Science and Technology (to appear)

Simple and Effective Input Reformulations for Translation
Brian Yu, Hansen Lillemark, Kurt Keutzer, (2023). Empirical Methods in Natural Language Processing

Visual Scene Representation with Hierarchical Equivariant Sparse Coding
Christian Shewmake, Domas Buracas, Hansen Lillemark, Jinho Shin, Erik Bekkers, Nina Miolane, Bruno Olshausen, (2023). NeurIPS Workshop on Symmetry and Geometry in Neural Representations