Xue, Anton

11 publications

TMLR 2026 The Transformer Cookbook Andy Yang, Christopher Watson, Anton Xue, Satwik Bhattamishra, Jose Llarena, William Merrill, Emile Dos Santos Ferreira, Anej Svete, David Chiang

ICLR 2025 Logicbreaks: A Framework for Understanding Subversion of Rule-Based Inference Anton Xue, Avishree Khare, Rajeev Alur, Surbhi Goel, Eric Wong

ICML 2025 On the Concurrence of Layer-Wise Preconditioning Methods and Provable Feature Learning Thomas Tck Zhang, Behrad Moniri, Ansh Nagwekar, Faraz Rahman, Anton Xue, Hamed Hassani, Nikolai Matni

NeurIPS 2025 Probabilistic Stability Guarantees for Feature Attributions Helen Jin, Anton Xue, Weiqiu You, Surbhi Goel, Eric Wong

DMLR 2025 The FIX Benchmark: Extracting Features Interpretable to eXperts Helen Jin, Shreya Havaldar, Chaehyeon Kim, Anton Xue, Weiqiu You, Helen Qu, Marco Gatti, Daniel A Hashimoto, Bhuvnesh Jain, Amin Madani, Masao Sako, Lyle Ungar, Eric Wong

NeurIPS 2024 AR-Pro: Counterfactual Explanations for Anomaly Repair with Formal Properties Xiayan Ji, Anton Xue, Eric Wong, Oleg Sokolsky, Insup Lee

NeurIPSW 2024 Logicbreaks: A Framework for Understanding Subversion of Rule-Based Inference Anton Xue, Avishree Khare, Rajeev Alur, Surbhi Goel, Eric Wong

NeurIPSW 2024 Logicbreaks: A Framework for Understanding Subversion of Rule-Based Inference Anton Xue, Avishree Khare, Rajeev Alur, Surbhi Goel, Eric Wong

NeurIPS 2023 Stability Guarantees for Feature Attributions with Multiplicative Smoothing Anton Xue, Rajeev Alur, Eric Wong

NeurIPSW 2023 Stability Guarantees for Feature Attributions with Multiplicative Smoothing Anton Xue, Rajeev Alur, Eric Wong

L4DC 2021 Data-Driven System Level Synthesis Anton Xue, Nikolai Matni