Zheng, Dongzhe, and Christine Allen-Blanchette. 2026. “Beyond Pairwise: Diagnosing Higher-Order Merge Failures via Hodge Decomposition”. In ICML 2026 Workshop on Weight-Space Symmetries. Reference Link
Zheng, Dongzhe, and Christine Allen-Blanchette. 2026. “Learning Discrete Riemannian Metrics for Physical Fields With Cochain-Frame Equivariance”. In Conference on Neural Information Processing Systems (NeurIPS). Reference Link
Mason, Justice, and Christine Allen-Blanchette. 2022. “Learning Interpretable Dynamics from Images of a Freely Rotating 3d Rigid Body”. AAAI Symposium on Knowledge-Guided AI. Reference Link
Mason, Justice, Christine Allen-Blanchette, Nicholas Zolman, Elizabeth Davidson, and Naomi Leonard. 2023. Learning to Predict 3D Rotational Dynamics from Images of a Rigid Body With Unknown Mass Distribution. Aerospace. Reference Link
Allen-Blanchette, Christine. 2024. “Hamiltonian GAN”. Learning for Dynamics and Control Conference (L4DC). Reference Link
