Maximum Entropy on the Mean: A Paradigm Shift for Regularization in Image Deblurring. - Gabriel Rioux; Rustum Choksi; Tim Hoheisel; Christopher Scarvelis (CoRR, 2020)

Blind Deblurring of Barcodes via Kullback-Leibler Divergence. - Gabriel Rioux; Christopher Scarvelis; Rustum Choksi; Tim Hoheisel; Pierre Maréchal (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Riemannian Metric Learning via Optimal Transport. - Christopher Scarvelis; Justin Solomon 001 (ICLR, 2023)

Nuclear Norm Regularization for Deep Learning. - Christopher Scarvelis; Justin M. Solomon (NeurIPS, 2024)

Orient Anything. - Christopher Scarvelis; David Ben-Haim; Paul Zhang (CoRR, 2024)

Closed-Form Diffusion Models. - Christopher Scarvelis; Haitz Sáez de Ocáriz Borde; Justin Solomon 001 (Trans. Mach. Learn. Res., 2025)