Neural Fields with Hard Constraints of Arbitrary Differential Order. - Fangcheng Zhong; Kyle Fogarty; Param Hanji; Tianhao Wu 003; Alejandro Sztrajman; Andrew Spielberg; Andrea Tagliasacchi; Petra Bosilj; Cengiz Öztireli (NeurIPS, 2023)

FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud Generation. - Chenliang Zhou; Fangcheng Zhong; Param Hanji; Zhilin Guo 001; Kyle Fogarty; Alejandro Sztrajman; Hongyun Gao 001; A. Cengiz Öztireli (ECCV (67), 2024)

Zero-Shot Machine Unlearning at Scale via Lipschitz Regularization. - Jack Foster; Kyle Fogarty; Stefan Schoepf; Cengiz Öztireli; Alexandra Brintrup (CoRR, 2024)

SYM3D: Learning Symmetric Triplanes for Better 3D-Awareness of GANs. - Jing Yang; Kyle Fogarty; Fangcheng Zhong; A. Cengiz Öztireli (CoRR, 2024)

An Information Theoretic Approach to Machine Unlearning. - Jack Foster; Kyle Fogarty; Stefan Schoepf; Zack Dugue; Cengiz Öztireli; Alexandra Brintrup (Trans. Mach. Learn. Res., 2025)

Best Foot Forward: Robust Foot Reconstruction in-the-wild. - Kyle Fogarty; Jing Yang; Chayan Kumar Patodi; Aadi Bhanti; Steven Chacko; Cengiz Öztireli; Ujwal Bonde (CoRR, 2025)