Hemanth Saratchandran

According to our database, Hemanth Saratchandran authored at least 16 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Rethinking Softmax: Self-Attention with Polynomial Activations.

Hemanth Saratchandran, Jianqiao Zheng, Yiping Ji, Wenbo Zhang, Simon Lucey

CoRR, 2024

Sine Activated Low-Rank Matrices for Parameter Efficient Learning.

Yiping Ji, Hemanth Saratchandran, Cameron Gordon, Zeyu Zhang, Simon Lucey

CoRR, 2024

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

Cameron Gordon, Lachlan Ewen MacDonald, Hemanth Saratchandran, Simon Lucey

CoRR, 2024

Preconditioners for the Stochastic Training of Implicit Neural Representations.

Shin-Fang Chng, Hemanth Saratchandran, Simon Lucey

CoRR, 2024

Analyzing the Neural Tangent Kernel of Periodically Activated Coordinate Networks.

Hemanth Saratchandran, Shin-Fang Chng, Simon Lucey

CoRR, 2024

Architectural Strategies for the optimization of Physics-Informed Neural Networks.

Hemanth Saratchandran, Shin-Fang Chng, Simon Lucey

CoRR, 2024

A sampling theory perspective on activations for implicit neural representations.

Hemanth Saratchandran, Sameera Ramasinghe, Violetta Shevchenko, Alexander Long, Simon Lucey

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Weight Conditioning for Smooth Optimization of Neural Networks.

Hemanth Saratchandran, Thomas X. Wang, Simon Lucey

Proceedings of the Computer Vision - ECCV 2024, 2024

Invertible Neural Warp for NeRF.

Shin-Fang Chng, Ravi Garg, Hemanth Saratchandran, Simon Lucey

Proceedings of the Computer Vision - ECCV 2024, 2024

From Activation to Initialization: Scaling Insights for Optimizing Neural Fields.

Hemanth Saratchandran, Sameera Ramasinghe, Simon Lucey

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

On the effectiveness of neural priors in modeling dynamical systems.

Sameera Ramasinghe, Hemanth Saratchandran, Violetta Shevchenko, Simon Lucey

CoRR, 2023

On skip connections and normalisation layers in deep optimisation.

Lachlan E. MacDonald, Jack Valmadre, Hemanth Saratchandran, Simon Lucey

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?

Sameera Ramasinghe, Lachlan Ewen MacDonald, Moshiur R. Farazi, Hemanth Saratchandran, Simon Lucey

Proceedings of the International Conference on Machine Learning, 2023

Curvature-Aware Training for Coordinate Networks.

Hemanth Saratchandran, Shin-Fang Chng, Sameera Ramasinghe, Lachlan E. MacDonald, Simon Lucey

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

A global analysis of global optimisation.

Lachlan Ewen MacDonald, Hemanth Saratchandran, Jack Valmadre, Simon Lucey

CoRR, 2022

How You Start Matters for Generalization.

Sameera Ramasinghe, Lachlan E. MacDonald, Moshiur R. Farazi, Hemanth Saratchandran, Simon Lucey

CoRR, 2022