Mahalakshmi Sabanayagam

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 11

Top Topics

Linear Classifiers

Decision Boundary

Top Venues

Trans. Mach. Learn. Res.

Publications

Lukas Gosch, Mahalakshmi Sabanayagam, Debarghya Ghoshdastidar, Stephan Günnemann
Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks. CoRR (2024)
Anurag Singh, Mahalakshmi Sabanayagam, Krikamol Muandet, Debarghya Ghoshdastidar
Fast Adaptive Test-Time Defense with Robust Features. CoRR (2023)
Mahalakshmi Sabanayagam, Freya Behrens, Urte Adomaityte, Anna Dawid
Unveiling the Hessian's Connection to the Decision Boundary. CoRR (2023)
Pascal Mattia Esser, Satyaki Mukherjee, Mahalakshmi Sabanayagam, Debarghya Ghoshdastidar
Improved Representation Learning Through Tensorized Autoencoders. AISTATS (2023)
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)
Francesco Cagnetta, Deborah Oliveira, Mahalakshmi Sabanayagam, Nikolaos Tsilivis, Julia Kempe
Kernels, Data & Physics. CoRR (2023)
Mahalakshmi Sabanayagam, Pascal Mattia Esser, Debarghya Ghoshdastidar
Representation Power of Graph Convolutions : Neural Tangent Kernel Analysis. CoRR (2022)
Pascal Mattia Esser, Satyaki Mukherjee, Mahalakshmi Sabanayagam, Debarghya Ghoshdastidar
Improved Representation Learning Through Tensorized Autoencoders. CoRR (2022)
Mahalakshmi Sabanayagam, Leena Chennuru Vankadara, Debarghya Ghoshdastidar
Graphon based Clustering and Testing of Networks: Algorithms and Theory. ICLR (2022)
Mahalakshmi Sabanayagam, Leena Chennuru Vankadara, Debarghya Ghoshdastidar
Graphon based Clustering and Testing of Networks: Algorithms and Theory. CoRR (2021)
Mahalakshmi Sabanayagam, Pascal Mattia Esser, Debarghya Ghoshdastidar
New Insights into Graph Convolutional Networks using Neural Tangent Kernels. CoRR (2021)