Lachlan E. MacDonald

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 10

Top Topics

Infinite Dimensional

Internal Representations

Riemannian Manifolds

Top Venues

Publications

Cameron Gordon, Shin-Fang Chng, Lachlan E. MacDonald, Simon Lucey
On Quantizing Implicit Neural Representations. WACV (2023)
Hemanth Saratchandran, Shin-Fang Chng, Sameera Ramasinghe, Lachlan E. MacDonald, Simon Lucey
Curvature-Aware Training for Coordinate Networks. CoRR (2023)
Hemanth Saratchandran, Shin-Fang Chng, Sameera Ramasinghe, Lachlan E. MacDonald, Simon Lucey
Curvature-Aware Training for Coordinate Networks. ICCV (2023)
Lachlan E. MacDonald, Jack Valmadre, Hemanth Saratchandran, Simon Lucey
On skip connections and normalisation layers in deep optimisation. NeurIPS (2023)
Sameera Ramasinghe, Lachlan E. MacDonald, Simon Lucey
On the Frequency-bias of Coordinate-MLPs. NeurIPS (2022)
Sameera Ramasinghe, Lachlan E. MacDonald, Simon Lucey
On Regularizing Coordinate-MLPs. CoRR (2022)
Lachlan E. MacDonald, Sameera Ramasinghe, Simon Lucey
Enabling Equivariance for Arbitrary Lie Groups. CVPR (2022)
Sameera Ramasinghe, Lachlan E. MacDonald, Moshiur R. Farazi, Hemanth Saratchandran, Simon Lucey
How You Start Matters for Generalization. CoRR (2022)
Cameron Gordon, Shin-Fang Chng, Lachlan E. MacDonald, Simon Lucey
On Quantizing Implicit Neural Representations. CoRR (2022)
Lachlan E. MacDonald, Sameera Ramasinghe, Simon Lucey
Enabling equivariance for arbitrary Lie groups. CoRR (2021)