| A tale of two circuits: Grokking as competition of sparse and dense subnetworks W Merrill, N Tsilivis, A Shukla ICLR Workshop on Mathematical and Empirical Understanding of Foundation …, 2023 | 32 | 2023 |
| 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 | 29 | 2024 |
| What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness? N Tsilivis, J Kempe Advances in Neural Information Processing Systems, 2022 | 19 | 2022 |
| Can we achieve robustness from data alone? N Tsilivis, J Su, J Kempe ICML Workshop on New Frontiers in Adversarial Machine Learning, 2022, 2022 | 19 | 2022 |
| Extracting finite automata from RNNs using state merging W Merrill, N Tsilivis arXiv preprint arXiv:2201.12451, 2022 | 13 | 2022 |
| 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 | 5* | |
| 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 | 4 | 2023 |
| Toward a sparsity theory on weighted lattices N Tsilivis, A Tsiamis, P Maragos Journal of Mathematical Imaging and Vision 64 (7), 705-717, 2022 | 4 | 2022 |
| 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 | 2 | 2021 |
| Sparse Approximate Solutions to Max-Plus Equations N Tsilivis, A Tsiamis, P Maragos International Conference on Discrete Geometry and Mathematical Morphology …, 2021 | 2 | 2021 |
| 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 | 2 | 2020 |
| The Price of Implicit Bias in Adversarially Robust Generalization N Tsilivis, N Frank, N Srebro, J Kempe arXiv preprint arXiv:2406.04981, 2024 | 1 | 2024 |
| 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 | 1 | 2023 |
| Kernels, data & physics F Cagnetta, D Oliveira, M Sabanayagam, N Tsilivis, J Kempe Journal of Statistical Mechanics: Theory and Experiment 2024 (10), 104013, 2024 | | 2024 |
| Flavors of Margin: Implicit Bias of Steepest Descent in Homogeneous Neural Networks N Tsilivis, G Vardi, J Kempe arXiv preprint arXiv:2410.22069, 2024 | | 2024 |
| On the Geometry of Regularization in Adversarial Training: High-Dimensional Asymptotics and Generalization Bounds M Vilucchio, N Tsilivis, B Loureiro, J Kempe arXiv preprint arXiv:2410.16073, 2024 | | 2024 |
| Αραιές Αναπαραστάσεις στα Τροπικά Μαθηματικά Ν Τσιλιβής | | 2022 |
Julia KempeCDS and Courant Institute, NYUVerified email at nyu.edu
