Scholar
Kyle Fogarty
Google Scholar ID: yEwwq4EAAAAJ
University of Cambridge
Citations & Impact
Citations
37
H-index
3
i10-index
1
Publications
8
Co-authors
2
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Publications: Zero-Shot Machine Unlearning at Scale via Lipschitz Regularization (2024), FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud Generation (2023), Neural Fields with Hard Constraints of Arbitrary Differential Order (NeurIPS 2023)
Research Experience
- Research at the University of Cambridge with Dr. Cengiz Öztireli; Involved in various research projects including neural surface reconstruction; Launched the Computational Toolkit webpage in November 2022; Started PhD at the University of Cambridge in October 2022
Education
- PhD in Computer Science, University of Cambridge, Advisor: Dr. Cengiz Öztireli; MSc Thesis: Neural MLS Surface Reconstruction of Point Clouds
Background
- Research Interests: 3D computer graphics, computer vision, and machine learning; Specialization: High fidelity models of visual reality
Miscellany
- Joined the Judge Business School's EnterpriseTech program; Supervised Kutay Tire as a research intern in February 2023; Gave two seminars at the University of Warwick in March 2022
