Wang, Erik Y.

4 publications

NeurIPS 2025 HARDMath2: A Benchmark for Applied Mathematics Built by Students as Part of a Graduate Class James V Roggeveen, Erik Y. Wang, David Ettel, Will Flintoft, Peter Donets, Raglan Ward, Ahmed Roman, Anton Marius Graf, Siddharth Dandavate, Ava Williamson, Felix Yeung, Kacper K Migacz, Yijun Wang, Egemen Bostan, Duy Thuc Nguyen, Zhe He, Marc L. Descoteaux, Anne Mykland, Shida Liu, Jorge García Ponce, Luke Zhu, Yuyang Chen, Ekaterina S. Ivshina, Miguel Fernandez, Minjae Kim, Kennan Gumbs, Matthew Scott Tan, Russell Yang, Mai Hoang, David Brown, Isabella A Silveira, Lavon Sykes, Arjun Nageswaran, William Fredenberg, Yiming Chen, Lucas Martin, Yixing Tang, Kelly Werker Smith, Hongyu Liao, Logan G. Wilson, Alexander Dazhen Cai, Lucy S. Nathwani, Nickholas Gutierrez, Andrea Elizabeth Biju, Michael Brenner

ICLR 2025 HARDMath: A Benchmark Dataset for Challenging Problems in Applied Mathematics Jingxuan Fan, Sarah Martinson, Erik Y. Wang, Kaylie Hausknecht, Jonah Brenner, Danxian Liu, Nianli Peng, Corey Wang, Michael Brenner

NeurIPSW 2024 HARDMATH: A Benchmark Dataset for Challenging Problems in Applied Mathematics Jingxuan Fan, Sarah Martinson, Erik Y. Wang, Kaylie Hausknecht, Jonah Brenner, Danxian Liu, Nianli Peng, Corey Wang, Michael Brenner

NeurIPSW 2024 Training Dynamics of Convolutional Neural Networks for Learning the Derivative Operator Erik Y. Wang, Yongji Wang, Ching-Yao Lai