Hemanth Saratchandran

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 15

Top Topics

Dynamical Systems

Internal Representations

Top Venues

Publications

Shin-Fang Chng, Ravi Garg, Hemanth Saratchandran, Simon Lucey
Invertible Neural Warp for NeRF. CoRR (2024)
Hemanth Saratchandran, Shin-Fang Chng, Simon Lucey
Architectural Strategies for the optimization of Physics-Informed Neural Networks. CoRR (2024)
Cameron Gordon, Lachlan Ewen MacDonald, Hemanth Saratchandran, Simon Lucey
D'OH: Decoder-Only random Hypernetworks for Implicit Neural Representations. CoRR (2024)
Hemanth Saratchandran, Sameera Ramasinghe, Simon Lucey
From Activation to Initialization: Scaling Insights for Optimizing Neural Fields. CoRR (2024)
Hemanth Saratchandran, Sameera Ramasinghe, Violetta Shevchenko, Alexander Long, Simon Lucey
A Sampling Theory Perspective on Activations for Implicit Neural Representations. CoRR (2024)
Hemanth Saratchandran, Shin-Fang Chng, Simon Lucey
Analyzing the Neural Tangent Kernel of Periodically Activated Coordinate Networks. CoRR (2024)
Shin-Fang Chng, Hemanth Saratchandran, Simon Lucey
Preconditioners for the Stochastic Training of Implicit Neural Representations. CoRR (2024)
Yiping Ji, Hemanth Saratchandran, Cameron Gordon, Zeyu Zhang, Simon Lucey
Sine Activated Low-Rank Matrices for Parameter Efficient Learning. CoRR (2024)
Sameera Ramasinghe, Hemanth Saratchandran, Violetta Shevchenko, Simon Lucey
On the effectiveness of neural priors in modeling dynamical systems. CoRR (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)
Sameera Ramasinghe, Lachlan Ewen MacDonald, Moshiur R. Farazi, Hemanth Saratchandran, Simon Lucey
How much does Initialization Affect Generalization? ICML (2023)
Lachlan E. MacDonald, Jack Valmadre, Hemanth Saratchandran, Simon Lucey
On skip connections and normalisation layers in deep optimisation. NeurIPS (2023)
Lachlan Ewen MacDonald, Hemanth Saratchandran, Jack Valmadre, Simon Lucey
A global analysis of global optimisation. CoRR (2022)
Sameera Ramasinghe, Lachlan E. MacDonald, Moshiur R. Farazi, Hemanth Saratchandran, Simon Lucey
How You Start Matters for Generalization. CoRR (2022)