Nikolaos Tsilivis

Affiliations:
  • New York University, Center for Data Science


According to our database1, Nikolaos Tsilivis authored at least 11 papers between 2022 and 2024.

Collaborative distances:

Timeline

2022
2023
2024
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Legend:

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PhD thesis 
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Links

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Bibliography

2024
On the Robustness of Neural Collapse and the Neural Collapse of Robustness.
Trans. Mach. Learn. Res., 2024

Flavors of Margin: Implicit Bias of Steepest Descent in Homogeneous Neural Networks.
CoRR, 2024

On the Geometry of Regularization in Adversarial Training: High-Dimensional Asymptotics and Generalization Bounds.
CoRR, 2024

Attacking Bayes: On the Adversarial Robustness of Bayesian Neural Networks.
CoRR, 2024

The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

The Price of Implicit Bias in Adversarially Robust Generalization.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
Kernels, Data & Physics.
CoRR, 2023

A Tale of Two Circuits: Grokking as Competition of Sparse and Dense Subnetworks.
CoRR, 2023

2022
Can we achieve robustness from data alone?
CoRR, 2022

Extracting Finite Automata from RNNs Using State Merging.
CoRR, 2022

What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness?
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022


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