Buser Say

According to our database, Buser Say authored at least 16 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Rapid Identification of Protein Formulations with Bayesian Optimisation.

Viet Huynh, Buser Say, Peter Vogel, Lucy Cao, Geoffrey I. Webb, Aldeida Aleti

Proceedings of the International Conference on Machine Learning and Applications, 2023

Robust Metric Hybrid Planning in Stochastic Nonlinear Domains Using Mathematical Optimization.

Buser Say

Proceedings of the Thirty-Third International Conference on Automated Planning and Scheduling, 2023

2022

Training Experimentally Robust and Interpretable Binarized Regression Models Using Mixed-Integer Programming.

Sanjana Tule, Nhi Ha Lan Le, Buser Say

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

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

A Unified Framework for Planning with Learned Neural Network Transition Models.

Buser Say

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Scalable Planning with Deep Neural Network Learned Transition Models.

Ga Wu, Buser Say, Scott Sanner

J. Artif. Intell. Res., 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

Theoretical and Experimental Results for Planning with Learned Binarized Neural Network Transition Models.

Buser Say, Jo Devriendt, Jakob Nordström, Peter J. Stuckey

Proceedings of the Principles and Practice of Constraint Programming, 2020

2019

Scalable Nonlinear Planning with Deep Neural Network Learned Transition Models.

Ga Wu, Buser Say, Scott Sanner

CoRR, 2019

Metric Hybrid Factored Planning in Nonlinear Domains with Constraint Generation.

Buser Say, Scott Sanner

Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2019

Reward Potentials for Planning with Learned Neural Network Transition Models.

Buser Say, Scott Sanner, Sylvie Thiébaux

Proceedings of the Principles and Practice of Constraint Programming, 2019

2018

Planning in Factored State and Action Spaces with Learned Binarized Neural Network Transition Models.

Buser Say, Scott Sanner

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Symbolic Bucket Elimination for Piecewise Continuous Constrained Optimization.

Zhijiang Ye, Buser Say, Scott Sanner

Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2018

2017

Scalable Planning with Tensorflow for Hybrid Nonlinear Domains.

Ga Wu, Buser Say, Scott Sanner

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Nonlinear Hybrid Planning with Deep Net Learned Transition Models and Mixed-Integer Linear Programming.

Buser Say, Ga Wu, Yu Qing Zhou, Scott Sanner

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Mathematical Programming Models for Optimizing Partial-Order Plan Flexibility.

Buser Say, André A. Ciré, J. Christopher Beck

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016