Selected works
On Evaluating LLMs’ Capabilities as Functional Approximators: A Bayesian Framework, COLING 25',
S. Siddiqui*, Y. Chen*, J. Heo, M. Xia, A. Weller
Neural Mutual Information Estimation with Vector Copulas, NeurIPS 25',
Y. Chen, Z. Ou, A. Weller, M. Gutmann
Scalable Infomin Learning , NeurIPS 23',
Y. Chen, W. Sun, Y. Li, A. Weller
Neural Approximate Sufficient Statistic for Implicit Models , ICLR 21' (spotlight) ,
Y. Chen*, D. Zhang*, M. Gutmann, A. Courville, Z. Zhu
On Breaking Deep Generative Model-based Defenses and Beyond, ICML 20',
Y. Chen, R. Xie, Z. Zhu