Lachlan E. MacDonald

According to our database1, Lachlan E. MacDonald authored at least 12 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
D'OH: Decoder-Only random Hypernetworks for Implicit Neural Representations.
CoRR, 2024

2023
On progressive sharpening, flat minima and generalisation.
CoRR, 2023

On Quantizing Implicit Neural Representations.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

On skip connections and normalisation layers in deep optimisation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

How much does Initialization Affect Generalization?
Proceedings of the International Conference on Machine Learning, 2023

Curvature-Aware Training for Coordinate Networks.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Flow Supervision for Deformable NeRF.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
A global analysis of global optimisation.
CoRR, 2022

How You Start Matters for Generalization.
CoRR, 2022

On Regularizing Coordinate-MLPs.
CoRR, 2022

On the Frequency-bias of Coordinate-MLPs.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Enabling Equivariance for Arbitrary Lie Groups.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022


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