Lachlan E. MacDonald

11 papers A* 4A 1Journal 5Unranked 1
YearRankTypeTitle / Venue / Authors
2024 — conf
D'OH: Decoder-Only Random Hypernetworks for Implicit Neural Representations.
ACCV (7)
Cameron Gordon, Lachlan E. MacDonald, Hemanth Saratchandran, Simon Lucey
2023 A* conf
Curvature-Aware Training for Coordinate Networks.
ICCV
Hemanth Saratchandran, Shin-Fang Ch'ng, Sameera Ramasinghe, Lachlan E. MacDonald, Simon Lucey
2023 J jnl
Curvature-Aware Training for Coordinate Networks.
CoRR
Hemanth Saratchandran, Shin-Fang Ch'ng, Sameera Ramasinghe, Lachlan E. MacDonald, Simon Lucey
2023 A conf
On Quantizing Implicit Neural Representations.
WACV
Cameron Gordon, Shin-Fang Ch'ng, Lachlan E. MacDonald, Simon Lucey
2023 A* conf
On skip connections and normalisation layers in deep optimisation.
NeurIPS
Lachlan E. MacDonald, Jack Valmadre, Hemanth Saratchandran, Simon Lucey
2022 A* conf
Enabling Equivariance for Arbitrary Lie Groups.
CVPR
Lachlan E. MacDonald, Sameera Ramasinghe, Simon Lucey
2022 J jnl
How You Start Matters for Generalization.
CoRR
Sameera Ramasinghe, Lachlan E. MacDonald, Moshiur R. Farazi, Hemanth Saratchandran, Simon Lucey
2022 J jnl
On Quantizing Implicit Neural Representations.
CoRR
Cameron Gordon, Shin-Fang Ch'ng, Lachlan E. MacDonald, Simon Lucey
2022 J jnl
On Regularizing Coordinate-MLPs.
CoRR
Sameera Ramasinghe, Lachlan E. MacDonald, Simon Lucey
2022 A* conf
On the Frequency-bias of Coordinate-MLPs.
NeurIPS
Sameera Ramasinghe, Lachlan E. MacDonald, Simon Lucey
2021 J jnl
Enabling equivariance for arbitrary Lie groups.
CoRR
Lachlan E. MacDonald, Sameera Ramasinghe, Simon Lucey