Mahalakshmi Sabanayagam
@maha-saba.bsky.social
PhD student @ TU Munich. Interested in theory of deep learning and graph based learning.
web: https://mahalakshmi-sabanayagam.github.io
web: https://mahalakshmi-sabanayagam.github.io
To hear all about the work @iclr-conf.bsky.social,
Poster: 25.04 from 3:00 to 5:30 pm
Talk: 27.04 at 3:30 pm in the VerifAI workshop verifai-workshop.github.io/schedule/
Paper: arxiv.org/abs/2412.00537
Looking forward to meeting and discussing with fellow researchers in Singapore! 🙂 [6/6]
Poster: 25.04 from 3:00 to 5:30 pm
Talk: 27.04 at 3:30 pm in the VerifAI workshop verifai-workshop.github.io/schedule/
Paper: arxiv.org/abs/2412.00537
Looking forward to meeting and discussing with fellow researchers in Singapore! 🙂 [6/6]
April 24, 2025 at 4:44 PM
To hear all about the work @iclr-conf.bsky.social,
Poster: 25.04 from 3:00 to 5:30 pm
Talk: 27.04 at 3:30 pm in the VerifAI workshop verifai-workshop.github.io/schedule/
Paper: arxiv.org/abs/2412.00537
Looking forward to meeting and discussing with fellow researchers in Singapore! 🙂 [6/6]
Poster: 25.04 from 3:00 to 5:30 pm
Talk: 27.04 at 3:30 pm in the VerifAI workshop verifai-workshop.github.io/schedule/
Paper: arxiv.org/abs/2412.00537
Looking forward to meeting and discussing with fellow researchers in Singapore! 🙂 [6/6]
⏩ Our experimental results on (graph) neural networks in semi-supervised node classification uncover a novel phenomenon: a plateauing of robustness for intermediate perturbations (for more details and other interesting results, see our paper arxiv.org/abs/2412.00537). [5/6]
April 24, 2025 at 4:44 PM
⏩ Our experimental results on (graph) neural networks in semi-supervised node classification uncover a novel phenomenon: a plateauing of robustness for intermediate perturbations (for more details and other interesting results, see our paper arxiv.org/abs/2412.00537). [5/6]
🔥 How do we handle it? We leverage the Neural Tangent Kernel as it describes the training dynamics of wide NNs under certain conditions, and develop exact certification strategies for both sample-wise and collective certification. [3/6]
April 24, 2025 at 4:44 PM
🔥 How do we handle it? We leverage the Neural Tangent Kernel as it describes the training dynamics of wide NNs under certain conditions, and develop exact certification strategies for both sample-wise and collective certification. [3/6]
🎉Excited to announce our #ICLR2025 Spotlight!
🚀 @lukasgosch.bsky.social and I will be presenting our paper on the first exact certificate against label poisoning for neural nets and graph neural nets. Joint work with Stephan Guennemann and Debarghya Ghoshdastidar.
👇[1/6]
🚀 @lukasgosch.bsky.social and I will be presenting our paper on the first exact certificate against label poisoning for neural nets and graph neural nets. Joint work with Stephan Guennemann and Debarghya Ghoshdastidar.
👇[1/6]
April 24, 2025 at 4:44 PM
🎉Excited to announce our #ICLR2025 Spotlight!
🚀 @lukasgosch.bsky.social and I will be presenting our paper on the first exact certificate against label poisoning for neural nets and graph neural nets. Joint work with Stephan Guennemann and Debarghya Ghoshdastidar.
👇[1/6]
🚀 @lukasgosch.bsky.social and I will be presenting our paper on the first exact certificate against label poisoning for neural nets and graph neural nets. Joint work with Stephan Guennemann and Debarghya Ghoshdastidar.
👇[1/6]