Enabling Equivariance for Arbitrary Lie Groups. - Lachlan E. MacDonald; Sameera Ramasinghe; Simon Lucey (CVPR, 2022)

On the Frequency-bias of Coordinate-MLPs. - Sameera Ramasinghe; Lachlan E. MacDonald; Simon Lucey (NeurIPS, 2022)

On Regularizing Coordinate-MLPs. - Sameera Ramasinghe; Lachlan E. MacDonald; Simon Lucey (CoRR, 2022)

How You Start Matters for Generalization. - Sameera Ramasinghe; Lachlan E. MacDonald; Moshiur R. Farazi; Hemanth Saratchandran; Simon Lucey (CoRR, 2022)

A global analysis of global optimisation. - Lachlan Ewen MacDonald; Hemanth Saratchandran; Jack Valmadre; Simon Lucey (CoRR, 2022)

Flow Supervision for Deformable NeRF. - Chaoyang Wang 001; Lachlan Ewen MacDonald; László A. Jeni; Simon Lucey (CVPR, 2023)

Curvature-Aware Training for Coordinate Networks. - Hemanth Saratchandran; Shin-Fang Ch'ng; Sameera Ramasinghe; Lachlan E. MacDonald; Simon Lucey (ICCV, 2023)

How much does Initialization Affect Generalization? - Sameera Ramasinghe; Lachlan Ewen MacDonald; Moshiur R. Farazi; Hemanth Saratchandran; Simon Lucey (ICML, 2023)

On skip connections and normalisation layers in deep optimisation. - Lachlan E. MacDonald; Jack Valmadre; Hemanth Saratchandran; Simon Lucey (NeurIPS, 2023)

On Quantizing Implicit Neural Representations. - Cameron Gordon; Shin-Fang Ch'ng; Lachlan E. MacDonald; Simon Lucey (WACV, 2023)

On progressive sharpening, flat minima and generalisation. - Lachlan Ewen MacDonald; Jack Valmadre; Simon Lucey (CoRR, 2023)

D'OH: Decoder-Only Random Hypernetworks for Implicit Neural Representations. - Cameron Gordon; Lachlan E. MacDonald; Hemanth Saratchandran; Simon Lucey (ACCV (7), 2024)

Understanding the Learning Dynamics of LoRA: A Gradient Flow Perspective on Low-Rank Adaptation in Matrix Factorization. - Ziqing Xu; Hancheng Min; Lachlan Ewen MacDonald; Jinqi Luo; Salma Tarmoun; Enrique Mallada; René Vidal (AISTATS, 2025)