Online Bayesian Moment Matching based SAT Solver Heuristics. - Haonan Duan 002; Saeed Nejati; George Trimponias; Pascal Poupart; Vijay Ganesh 001 (ICML, 2020)

Discriminative training of feed-forward and recurrent sum-product networks by extended Baum-Welch. - Haonan Duan 002; Abdullah Rashwan; Pascal Poupart; Zhitang Chen (Int. J. Approx. Reason., 2020)

Distributional Reinforcement Learning with Monotonic Splines. - Yudong Luo; Guiliang Liu; Haonan Duan 002; Oliver Schulte; Pascal Poupart (ICLR, 2022)

Augment with Care: Contrastive Learning for Combinatorial Problems. - Haonan Duan 002; Pashootan Vaezipoor; Max B. Paulus; Yangjun Ruan; Chris J. Maddison (ICML, 2022)

Dataset Inference for Self-Supervised Models. - Adam Dziedzic; Haonan Duan 002; Muhammad Ahmad Kaleem; Nikita Dhawan; Jonas Guan; Yannis Cattan; Franziska Boenisch; Nicolas Papernot (NeurIPS, 2022)

Augment with Care: Contrastive Learning for the Boolean Satisfiability Problem. - Haonan Duan 002; Pashootan Vaezipoor; Max B. Paulus; Yangjun Ruan; Chris J. Maddison (CoRR, 2022)

Flocks of Stochastic Parrots: Differentially Private Prompt Learning for Large Language Models. - Haonan Duan 002; Adam Dziedzic; Nicolas Papernot; Franziska Boenisch (NeurIPS, 2023)

Meta-Designing Quantum Experiments with Language Models. - Sören Arlt; Haonan Duan 002; Felix Li; Sang Michael Xie; Yuhuai Wu; Mario Krenn (CoRR, 2024)

On the Privacy Risk of In-context Learning. - Haonan Duan 002; Adam Dziedzic; Mohammad Yaghini; Nicolas Papernot; Franziska Boenisch (CoRR, 2024)

BioReason: Incentivizing Multimodal Biological Reasoning within a DNA-LLM Model. - Adibvafa Fallahpour; Andrew Magnuson; Purav Gupta; Shihao Ma; Jack Naimer; Arnav Shah; Haonan Duan 002; Omar Ibrahim; Hani Goodarzi; Chris J. Maddison; Bo Wang 044 (CoRR, 2025)

Measuring Scientific Capabilities of Language Models with a Systems Biology Dry Lab. - Haonan Duan 002; Stephen Zhewen Lu; Caitlin Fiona Harrigan; Nishkrit Desai; Jiarui Lu; Michal Koziarski; Leonardo Cotta; Chris J. Maddison (CoRR, 2025)