3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CV2026
Sculpting NeRF Geometry: Human-Preference Fine-Tuning of a 3D-Aware Face GAN
Archer Moore, Mingming Gong, Liam Hodgkinson
Reinforcement learning from human feedback (RLHF) for 3D generation is now established across a number of works, but most existing pipelines optimise explicit surface representatio…
stat.ML2025★ 3 cited
Semi-Supervised Learning under General Causal Models
Archer Moore, Heejung Shim, Jingge Zhu +1
Semi-supervised learning (SSL) aims to train a machine learning model using both labelled and unlabelled data. While the unlabelled data have been used in various ways to improve t…