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Sharvaree Vadgama
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Year
Greedy sampling for approximate clustering in the presence of outliers
A Bhaskara, S Vadgama, H Xu
Advances in Neural Information Processing Systems 32, 2019
272019
Kendall shape-VAE: Learning shapes in a generative framework
S Vadgama, JM Tomczak, EJ Bekkers
NeurIPS 2022 Workshop on Symmetry and Geometry in Neural Representations, 2022
92022
Almost-global exponential tracking of a variable pitch quadrotor on SE (3)
A Simha, S Vadgama, S Raha
IFAC-PapersOnLine 50 (1), 10268-10273, 2017
72017
A geometric approach to rotor failure tolerant trajectory tracking control design for a quadrotor
A Simha, S Vadgama, S Raha
arXiv preprint arXiv:1704.00327, 2017
62017
Fast, Expressive Equivariant Networks through Weight-Sharing in Position-Orientation Space
EJ Bekkers, S Vadgama, R Hesselink, PA Van der Linden, DW Romero
The Twelfth International Conference on Learning Representations, 2023
3*2023
Interpretable ECG classification via a query-based latent space traversal (qLST)
MB Vessies, SP Vadgama, RR van de Leur, PA Doevendans, RJ Hassink, ...
arXiv preprint arXiv:2111.07386, 2021
12021
Modeling Barrett’s Esophagus Progression Using Geometric Variational Autoencoders
V van Veldhuizen, S Vadgama, O de Boer, S Meijer, EJ Bekkers
MICCAI Workshop on Cancer Prevention through Early Detection, 132-142, 2023
2023
Continuous Kendall Shape Variational Autoencoders
S Vadgama, JM Tomczak, E Bekkers
International Conference on Geometric Science of Information, 73-81, 2023
2023
Geometric Contrastive Learning
Y Koishekenov, S Vadgama, R Valperga, EJ Bekkers
Proceedings of the IEEE/CVF International Conference on Computer Vision, 206-215, 2023
2023
Black rings
S Vadgama
Indian Institute of Science Education and Research (IISER) Pune, 2016
2016
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Articles 1–10