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ORCIDMahalakshmi Sabanayagam
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Journal Articles
- 2023
[j1]Mahalakshmi Sabanayagam, Pascal Mattia Esser, Debarghya Ghoshdastidar:
Analysis of Convolutions, Non-linearity and Depth in Graph Neural Networks using Neural Tangent Kernel. Trans. Mach. Learn. Res. 2023 (2023)
Conference and Workshop Papers
- 2023
- [c2]Pascal Mattia Esser, Satyaki Mukherjee, Mahalakshmi Sabanayagam, Debarghya Ghoshdastidar:
Improved Representation Learning Through Tensorized Autoencoders. AISTATS 2023: 8294-8307 - 2022
- [c1]Mahalakshmi Sabanayagam, Leena Chennuru Vankadara, Debarghya Ghoshdastidar:
Graphon based Clustering and Testing of Networks: Algorithms and Theory. ICLR 2022
Informal and Other Publications
- 2024
- [i8]Lukas Gosch, Mahalakshmi Sabanayagam, Debarghya Ghoshdastidar, Stephan Günnemann:
Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks. CoRR abs/2407.10867 (2024) - 2023
- [i7]Mahalakshmi Sabanayagam, Freya Behrens, Urte Adomaityte, Anna Dawid:
Unveiling the Hessian's Connection to the Decision Boundary. CoRR abs/2306.07104 (2023) - [i6]Francesco Cagnetta, Deborah Oliveira, Mahalakshmi Sabanayagam, Nikolaos Tsilivis, Julia Kempe:
Kernels, Data & Physics. CoRR abs/2307.02693 (2023) - [i5]Anurag Singh, Mahalakshmi Sabanayagam, Krikamol Muandet, Debarghya Ghoshdastidar:
Fast Adaptive Test-Time Defense with Robust Features. CoRR abs/2307.11672 (2023) - 2022
- [i4]Mahalakshmi Sabanayagam, Pascal Mattia Esser, Debarghya Ghoshdastidar
:
Representation Power of Graph Convolutions : Neural Tangent Kernel Analysis. CoRR abs/2210.09809 (2022) - [i3]Pascal Mattia Esser, Satyaki Mukherjee, Mahalakshmi Sabanayagam, Debarghya Ghoshdastidar:
Improved Representation Learning Through Tensorized Autoencoders. CoRR abs/2212.01046 (2022) - 2021
- [i2]Mahalakshmi Sabanayagam, Leena Chennuru Vankadara, Debarghya Ghoshdastidar:
Graphon based Clustering and Testing of Networks: Algorithms and Theory. CoRR abs/2110.02722 (2021) - [i1]Mahalakshmi Sabanayagam, Pascal Mattia Esser, Debarghya Ghoshdastidar:
New Insights into Graph Convolutional Networks using Neural Tangent Kernels. CoRR abs/2110.04060 (2021)
Coauthor Index
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