Invertible generative models for inverse problems: mitigating representation error and dataset bias. - Muhammad Asim 005; Max Daniels; Oscar Leong; Ali Ahmed 004; Paul Hand (ICML, 2020)

Reducing the Representation Error of GAN Image Priors Using the Deep Decoder. - Max Daniels; Paul Hand; Reinhard Heckel (CoRR, 2020)

Generator Surgery for Compressed Sensing. - Niklas Smedemark-Margulies; Jung Yeon Park; Max Daniels; Rose Yu; Jan-Willem van de Meent; Paul Hand (CoRR, 2021)

Score-based Generative Neural Networks for Large-Scale Optimal Transport. - Max Daniels; Tyler Maunu; Paul Hand (CoRR, 2021)

Multi-layer State Evolution Under Random Convolutional Design. - Max Daniels; Cédric Gerbelot; Florent Krzakala; Lenka Zdeborová (NeurIPS, 2022)

On the Contractivity of Stochastic Interpolation Flow. - Max Daniels (CoRR, 2025)