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Nikolaos Tsilivis
Nikolaos Tsilivis
New York University
Подтвержден адрес электронной почты в домене nyu.edu - Главная страница
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Процитировано
Год
A tale of two circuits: Grokking as competition of sparse and dense subnetworks
W Merrill, N Tsilivis, A Shukla
arXiv preprint arXiv:2303.11873, 2023
182023
Can we achieve robustness from data alone?
N Tsilivis, J Su, J Kempe
ICML Workshop on New Frontiers in Adversarial Machine Learning, 2022, 2022
152022
What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness?
N Tsilivis, J Kempe
Advances in Neural Information Processing Systems, 2022
132022
Extracting finite automata from RNNs using state merging
W Merrill, N Tsilivis
arXiv preprint arXiv:2201.12451, 2022
62022
Adversarial Noise Injection for Learned Turbulence Simulations
J Su, J Kempe, D Fielding, N Tsilivis, M Cranmer, S Ho
NeurIPS Workshop on Machine Learning and the Physical Sciences, 2022, 0
4*
The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains
BL Edelman, E Edelman, S Goel, E Malach, N Tsilivis
arXiv preprint arXiv:2402.11004, 2024
32024
Toward a sparsity theory on weighted lattices
N Tsilivis, A Tsiamis, P Maragos
Journal of Mathematical Imaging and Vision 64 (7), 705-717, 2022
32022
Sparsity in max-plus algebra and applications in multivariate convex regression
N Tsilivis, A Tsiamis, P Maragos
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
22021
Sparse approximate solutions to max-plus equations with application to multivariate convex regression
N Tsilivis, A Tsiamis, P Maragos
arXiv preprint arXiv:2011.04468, 2020
22020
On the robustness of neural collapse and the neural collapse of robustness
J Su, YS Zhang, N Tsilivis, J Kempe
arXiv preprint arXiv:2311.07444, 2023
12023
Sparse Approximate Solutions to Max-Plus Equations
N Tsilivis, A Tsiamis, P Maragos
International Conference on Discrete Geometry and Mathematical Morphology …, 2021
12021
Attacking Bayes: Are Bayesian Neural Networks Inherently Robust?
Y Feng, TGJ Rudner, N Tsilivis, J Kempe
Fifth Symposium on Advances in Approximate Bayesian Inference, 2023
2023
Kernels, Data & Physics
F Cagnetta, D Oliveira, M Sabanayagam, N Tsilivis, J Kempe
arXiv preprint arXiv:2307.02693, 2023
2023
Αραιές Αναπαραστάσεις στα Τροπικά Μαθηματικά
Ν Τσιλιβής
2022
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Статьи 1–14