Mathematical Programming Models for Optimizing Partial-Order Plan Flexibility. - Buser Say; André A. Ciré; J. Christopher Beck (ECAI, 2016)

Nonlinear Hybrid Planning with Deep Net Learned Transition Models and Mixed-Integer Linear Programming. - Buser Say; Ga Wu; Yu Qing Zhou; Scott Sanner (IJCAI, 2017)

Scalable Planning with Tensorflow for Hybrid Nonlinear Domains. - Ga Wu; Buser Say; Scott Sanner (NIPS, 2017)

Symbolic Bucket Elimination for Piecewise Continuous Constrained Optimization. - Zhijiang Ye; Buser Say; Scott Sanner (CPAIOR, 2018)

Planning in Factored State and Action Spaces with Learned Binarized Neural Network Transition Models. - Buser Say; Scott Sanner (IJCAI, 2018)

Reward Potentials for Planning with Learned Neural Network Transition Models. - Buser Say; Scott Sanner; Sylvie Thiébaux (CP, 2019)

Metric Hybrid Factored Planning in Nonlinear Domains with Constraint Generation. - Buser Say; Scott Sanner (CPAIOR, 2019)

Scalable Nonlinear Planning with Deep Neural Network Learned Transition Models. - Ga Wu; Buser Say; Scott Sanner (CoRR, 2019)

Theoretical and Experimental Results for Planning with Learned Binarized Neural Network Transition Models. - Buser Say; Jo Devriendt; Jakob Nordström; Peter J. Stuckey (CP, 2020)

Compact and efficient encodings for planning in factored state and action spaces with learned Binarized Neural Network transition models. - Buser Say; Scott Sanner (Artif. Intell., 2020)

Scalable Planning with Deep Neural Network Learned Transition Models. - Ga Wu; Buser Say; Scott Sanner (J. Artif. Intell. Res., 2020)

A Unified Framework for Planning with Learned Neural Network Transition Models. - Buser Say (AAAI, 2021)

Planning with Learned Binarized Neural Networks Benchmarks for MaxSAT Evaluation 2021. - Buser Say; Scott Sanner; Jo Devriendt; Jakob Nordström; Peter J. Stuckey (CoRR, 2021)

Training Experimentally Robust and Interpretable Binarized Regression Models Using Mixed-Integer Programming. - Sanjana Tule; Nhi Ha Lan Le; Buser Say (SSCI, 2022)

Robust Metric Hybrid Planning in Stochastic Nonlinear Domains Using Mathematical Optimization. - Buser Say (ICAPS, 2023)

Rapid Identification of Protein Formulations with Bayesian Optimisation. - Viet Huynh; Buser Say; Peter Vogel; Lucy Cao; Geoffrey I. Webb; Aldeida Aleti (ICMLA, 2023)

A Metric Hybrid Planning Approach to Solving Pandemic Planning Problems with Simple SIR Models. - Ari Gestetner; Buser Say (CoRR, 2024)

Human-in-the-Loop AI for HVAC Management Enhancing Comfort and Energy Efficiency. - Xinyu Liang; Frits de Nijs; Buser Say; Hao Wang 016 (e-Energy, 2025)

Probabilistic Active Goal Recognition. - Chenyuan Zhang; Cristian Rojas Cardenas; Hamid Rezatofighi; Mor Vered; Buser Say (CoRR, 2025)