Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot. - Jingtong Su; Yihang Chen; Tianle Cai; Tianhao Wu 002; Ruiqi Gao; Liwei Wang 001; Jason D. Lee (NeurIPS, 2020)

Can we achieve robustness from data alone? - Nikolaos Tsilivis 002; Jingtong Su; Julia Kempe (CoRR, 2022)

On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization. - Shiji Xin; Yifei Wang 001; Jingtong Su; Yisen Wang 001 (AAAI, 2023)

Wavelets Beat Monkeys at Adversarial Robustness. - Jingtong Su; Julia Kempe (CoRR, 2023)

Mission Impossible: A Statistical Perspective on Jailbreaking LLMs. - Jingtong Su; Julia Kempe; Karen Ullrich (NeurIPS, 2024)

On the Robustness of Neural Collapse and the Neural Collapse of Robustness. - Jingtong Su; Ya Shi Zhang; Nikolaos Tsilivis 002; Julia Kempe (Trans. Mach. Learn. Res., 2024)

Enhancing and Evaluating Probabilistic Circuits for High-Resolution Lossless Image Compression. - Daniel Severo 001; Jingtong Su; Anji Liu; Jeff Johnson; Brian Karrer; Guy Van den Broeck; Matthew J. Muckley; Karen Ullrich (DCC, 2025)

From Concepts to Components: Concept-Agnostic Attention Module Discovery in Transformers. - Jingtong Su; Julia Kempe; Karen Ullrich (CoRR, 2025)