Hemanth Saratchandran

According to our database1, Hemanth Saratchandran authored at least 13 papers between 2022 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Sine Activated Low-Rank Matrices for Parameter Efficient Learning.
CoRR, 2024

From Activation to Initialization: Scaling Insights for Optimizing Neural Fields.
CoRR, 2024

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

Preconditioners for the Stochastic Training of Implicit Neural Representations.
CoRR, 2024

A Sampling Theory Perspective on Activations for Implicit Neural Representations.
CoRR, 2024

Analyzing the Neural Tangent Kernel of Periodically Activated Coordinate Networks.
CoRR, 2024

Architectural Strategies for the optimization of Physics-Informed Neural Networks.
CoRR, 2024

2023
On the effectiveness of neural priors in modeling dynamical systems.
CoRR, 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

2022
A global analysis of global optimisation.
CoRR, 2022

How You Start Matters for Generalization.
CoRR, 2022


  Loading...