Realisations of elliptic operators on compact manifolds with boundary L Bandara, M Goffeng, H Saratchandran
Advances in Mathematics 420, 108968, 2023
9 2023 How much does initialization affect generalization? S Ramasinghe, LE MacDonald, M Farazi, H Saratchandran, S Lucey
International Conference on Machine Learning, 28637-28655, 2023
8 2023 Curvature-aware training for coordinate networks H Saratchandran, SF Chng, S Ramasinghe, L MacDonald, S Lucey
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
8 2023 Sine activated low-rank matrices for parameter efficient learning Y Ji, H Saratchandran, C Gordon, Z Zhang, S Lucey
arXiv e-prints, arXiv: 2403.19243, 2024
7 2024 Essential self-adjointness of powers of first-order differential operators on non-compact manifolds with low-regularity metrics L Bandara, H Saratchandran
Journal of Functional Analysis 273 (12), 3719-3758, 2017
7 2017 How you start matters for generalization S Ramasinghe, L MacDonald, M Farazi, H Saratchandran, S Lucey
arXiv preprint arXiv:2206.08558, 2022
5 2022 A global analysis of global optimisation LE MacDonald, H Saratchandran, J Valmadre, S Lucey
arXiv preprint arXiv:2210.05371, 2022
5 2022 On the Chern character in higher twisted K-theory and spherical T-duality L Macdonald, V Mathai, H Saratchandran
Communications in Mathematical Physics 385 (1), 331-368, 2021
5 2021 A four dimensional hyperbolic link complement in a standard H Saratchandran
arXiv preprint arXiv:1503.07778, 2015
5 2015 A sampling theory perspective on activations for implicit neural representations H Saratchandran, S Ramasinghe, V Shevchenko, A Long, S Lucey
arXiv preprint arXiv:2402.05427, 2024
4 2024 On the effectiveness of neural priors in modeling dynamical systems S Ramasinghe, H Saratchandran, V Shevchenko, S Lucey
arXiv preprint arXiv:2303.05728, 2023
4 2023 Finite volume hyperbolic complements of 2-tori and Klein bottles in closed smooth simply connected 4-manifolds. H Saratchandran
New York Journal of Mathematics 24, 2018
4 2018 Preconditioners for the stochastic training of implicit neural representations SF Chng, H Saratchandran, S Lucey
arXiv preprint arXiv:2402.08784, 2024
3 2024 Kirby diagrams and the Ratcliffe–Tschantz hyperbolic 4-manifolds H Saratchandran
Topology and its Applications 202, 301-317, 2016
3 2016 Invertible neural warp for nerf SF Chng, R Garg, H Saratchandran, S Lucey
European Conference on Computer Vision, 405-421, 2024
2 2024 From activation to initialization: Scaling insights for optimizing neural fields H Saratchandran, S Ramasinghe, S Lucey
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
2 2024 A Ruelle dynamical zeta function for equivariant flows P Hochs, H Saratchandran
arXiv preprint arXiv:2303.00312, 2023
2 2023 Equivariant analytic torsion for proper actions P Hochs, H Saratchandran
arXiv preprint arXiv:2205.04117, 2022
2 2022 Higher order Seiberg–Witten functionals and their associated gradient flows H Saratchandran
manuscripta mathematica 160, 411-481, 2019
2 2019 Inequalities and separation for covariant Schrödinger operators O Milatovic, H Saratchandran
Journal of Geometry and Physics 138, 215-222, 2019
2 2019 
Simon LuceyDirector, Australian Institute for Machine Learning (AIML), University of AdelaideOverená e-mailová adresa na: adelaide.edu