| 2026 | ICAART | A Metric Hybrid Planning Approach to Solving Pandemic Planning Problems with Simple SIR Models. | Ari Gestetner, Buser Say |
| 2026 | KR | A Probabilistic Framework for Hierarchical Goal Recognition. | Chenyuan Zhang, Katherine Ip, Hamid Rezatofighi, Buser Say, Mor Vered |
| 2025 | KR | Probabilistic Active Goal Recognition. | Chenyuan Zhang, Cristian Rojas Cardenas, Hamid Rezatofighi, Mor Vered, Buser Say |
| 2023 | ICMLA | Rapid Identification of Protein Formulations with Bayesian Optimisation. | Viet Huynh, Buser Say, Peter Vogel, Lucy Cao, Geoffrey I. Webb, Aldeida Aleti |
| 2021 | AAAI | A Unified Framework for Planning with Learned Neural Network Transition Models. | Buser Say |
| 2020 | CP | Theoretical and Experimental Results for Planning with Learned Binarized Neural Network Transition Models. | Buser Say, Jo Devriendt, Jakob Nordstrm, Peter J. Stuckey |
| 2019 | CP | Reward Potentials for Planning with Learned Neural Network Transition Models. | Buser Say, Scott Sanner, Sylvie Thibaux |
| 2019 | CPAIOR | Metric Hybrid Factored Planning in Nonlinear Domains with Constraint Generation. | Buser Say, Scott Sanner |
| 2018 | CPAIOR | Symbolic Bucket Elimination for Piecewise Continuous Constrained Optimization. | Zhijiang Ye, Buser Say, Scott Sanner |
| 2018 | IJCAI | Planning in Factored State and Action Spaces with Learned Binarized Neural Network Transition Models. | Buser Say, Scott Sanner |
| 2017 | IJCAI | Nonlinear Hybrid Planning with Deep Net Learned Transition Models and Mixed-Integer Linear Programming. | Buser Say, Ga Wu, Yu Qing Zhou, Scott Sanner |
| 2016 | ECAI | Mathematical Programming Models for Optimizing Partial-Order Plan Flexibility. | Buser Say, Andr A. Cir, J. Christopher Beck |