Nikolaos Tsilivis

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 9

Top Topics

Reproducing Kernel Hilbert Space

Computational Efficiency

Motion Field Estimation

Top Venues

Trans. Mach. Learn. Res.

Publications

Jingtong Su, Ya Shi Zhang, Nikolaos Tsilivis, Julia Kempe
On the Robustness of Neural Collapse and the Neural Collapse of Robustness. Trans. Mach. Learn. Res. 2024 (2024)
Nikolaos Tsilivis, Natalie Frank, Nathan Srebro, Julia Kempe
The Price of Implicit Bias in Adversarially Robust Generalization. CoRR (2024)
Yunzhen Feng, Tim G. J. Rudner, Nikolaos Tsilivis, Julia Kempe
Attacking Bayes: On the Adversarial Robustness of Bayesian Neural Networks. CoRR (2024)
William Merrill, Nikolaos Tsilivis, Aman Shukla
A Tale of Two Circuits: Grokking as Competition of Sparse and Dense Subnetworks. CoRR (2023)
Francesco Cagnetta, Deborah Oliveira, Mahalakshmi Sabanayagam, Nikolaos Tsilivis, Julia Kempe
Kernels, Data & Physics. CoRR (2023)
Jingtong Su, Ya Shi Zhang, Nikolaos Tsilivis, Julia Kempe
On the Robustness of Neural Collapse and the Neural Collapse of Robustness. CoRR (2023)
Nikolaos Tsilivis, Jingtong Su, Julia Kempe
Can we achieve robustness from data alone? CoRR (2022)
Nikolaos Tsilivis, Julia Kempe
What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness? CoRR (2022)
Nikolaos Tsilivis, Julia Kempe
What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness? NeurIPS (2022)