Nikolaos Tsilivis

20 papers A* 4Journal 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	On the Geometry of Regularization in Adversarial Training: High-Dimensional Asymptotics and Generalization Bounds. Trans. Mach. Learn. Res. Matteo Vilucchio, Nikolaos Tsilivis, Bruno Loureiro, Julia Kempe
2025	A*	`conf`	Flavors of Margin: Implicit Bias of Steepest Descent in Homogeneous Neural Networks. ICLR Nikolaos Tsilivis, Gal Vardi, Julia Kempe
2025	J	`jnl`	How Reinforcement Learning After Next-Token Prediction Facilitates Learning. CoRR Nikolaos Tsilivis, Eran Malach, Karen Ullrich, Julia Kempe
2025	J	`jnl`	OpenApps: Simulating Environment Variations to Measure UI-Agent Reliability. CoRR Karen Ullrich, Jingtong Su, Claudia Shi, Arjun Subramonian, Amir Bar, Ivan Evtimov, Nikolaos Tsilivis, Randall Balestriero, Julia Kempe, Mark Ibrahim
2024	J	`jnl`	Attacking Bayes: On the Adversarial Robustness of Bayesian Neural Networks. CoRR Yunzhen Feng, Tim G. J. Rudner, Nikolaos Tsilivis, Julia Kempe
2024	J	`jnl`	Attacking Bayes: On the Adversarial Robustness of Bayesian Neural Networks. Trans. Mach. Learn. Res. Yunzhen Feng, Tim G. J. Rudner, Nikolaos Tsilivis, Julia Kempe
2024	J	`jnl`	Flavors of Margin: Implicit Bias of Steepest Descent in Homogeneous Neural Networks. CoRR Nikolaos Tsilivis, Gal Vardi, Julia Kempe
2024	J	`jnl`	On the Geometry of Regularization in Adversarial Training: High-Dimensional Asymptotics and Generalization Bounds. CoRR Matteo Vilucchio, Nikolaos Tsilivis, Bruno Loureiro, Julia Kempe
2024	J	`jnl`	On the Robustness of Neural Collapse and the Neural Collapse of Robustness. Trans. Mach. Learn. Res. Jingtong Su, Ya Shi Zhang, Nikolaos Tsilivis, Julia Kempe
2024	A*	`conf`	The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains. NeurIPS Ezra Edelman, Nikolaos Tsilivis, Benjamin L. Edelman, Eran Malach, Surbhi Goel
2024	J	`jnl`	The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains. CoRR Benjamin L. Edelman, Ezra Edelman, Surbhi Goel, Eran Malach, Nikolaos Tsilivis
2024	A*	`conf`	The Price of Implicit Bias in Adversarially Robust Generalization. NeurIPS Nikolaos Tsilivis, Natalie Frank, Nati Srebro, Julia Kempe
2024	J	`jnl`	The Price of Implicit Bias in Adversarially Robust Generalization. CoRR Nikolaos Tsilivis, Natalie Frank, Nathan Srebro, Julia Kempe
2023	J	`jnl`	A Tale of Two Circuits: Grokking as Competition of Sparse and Dense Subnetworks. CoRR William Merrill, Nikolaos Tsilivis, Aman Shukla
2023	J	`jnl`	Kernels, Data & Physics. CoRR Francesco Cagnetta, Deborah Oliveira, Mahalakshmi Sabanayagam, Nikolaos Tsilivis, Julia Kempe
2023	J	`jnl`	On the Robustness of Neural Collapse and the Neural Collapse of Robustness. CoRR Jingtong Su, Ya Shi Zhang, Nikolaos Tsilivis, Julia Kempe
2022	J	`jnl`	Can we achieve robustness from data alone? CoRR Nikolaos Tsilivis, Jingtong Su, Julia Kempe
2022	J	`jnl`	Extracting Finite Automata from RNNs Using State Merging. CoRR William Merrill, Nikolaos Tsilivis
2022	A*	`conf`	What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness? NeurIPS Nikolaos Tsilivis, Julia Kempe
2022	J	`jnl`	What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness? CoRR Nikolaos Tsilivis, Julia Kempe