Tsilivis, Nikolaos

10 publications

ICLR 2025 Flavors of Margin: Implicit Bias of Steepest Descent in Homogeneous Neural Networks Nikolaos Tsilivis, Gal Vardi, Julia Kempe

TMLR 2024 Attacking Bayes: On the Adversarial Robustness of Bayesian Neural Networks Yunzhen Feng, Tim G. J. Rudner, Nikolaos Tsilivis, Julia Kempe

NeurIPSW 2024 Flavors of Margin: Implicit Bias of Steepest Descent in Homogeneous Neural Networks Nikolaos Tsilivis, Gal Vardi, Julia Kempe

TMLR 2024 On the Robustness of Neural Collapse and the Neural Collapse of Robustness Jingtong Su, Ya Shi Zhang, Nikolaos Tsilivis, Julia Kempe

NeurIPS 2024 The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains Ezra Edelman, Nikolaos Tsilivis, Benjamin L. Edelman, Eran Malach, Surbhi Goel

NeurIPSW 2024 The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains Ezra Edelman, Nikolaos Tsilivis, Surbhi Goel, Benjamin L. Edelman, Eran Malach

NeurIPS 2024 The Price of Implicit Bias in Adversarially Robust Generalization Nikolaos Tsilivis, Natalie S. Frank, Nathan Srebro, Julia Kempe

ICLRW 2023 A Tale of Two Circuits: Grokking as Competition of Sparse and Dense Subnetworks William Merrill, Nikolaos Tsilivis, Aman Shukla

NeurIPSW 2023 On the Robustness of Neural Collapse and the Neural Collapse of Robustness Jingtong Su, Ya Shi Zhang, Nikolaos Tsilivis, Julia Kempe

NeurIPS 2022 What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness? Nikolaos Tsilivis, Julia Kempe