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J. Stockton Jenkins
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2020 – today
- 2024
- [c5]Porter Jenkins, Michael Selander, J. Stockton Jenkins, Andrew Merrill, Kyle Armstrong:
Personalized Product Assortment with Real-time 3D Perception and Bayesian Payoff Estimation. KDD 2024: 5161-5171 - [i2]Porter Jenkins, Michael Selander, J. Stockton Jenkins, Andrew Merrill, Kyle Armstrong:
Personalized Product Assortment with Real-time 3D Perception and Bayesian Payoff Estimation. CoRR abs/2406.07769 (2024) - 2023
- [c4]Porter Jenkins, Kyle Armstrong, Stephen Nelson, Siddhesh Gotad, J. Stockton Jenkins, Wade Wilkey, Tanner Watts:
CountNet3D: A 3D Computer Vision Approach to Infer Counts of Occluded Objects. WACV 2023: 3007-3016 - 2022
- [c3]Porter Jenkins, Hua Wei, J. Stockton Jenkins, Zhenhui Li:
Bayesian Model-Based Offline Reinforcement Learning for Product Allocation. AAAI 2022: 12531-12537 - 2021
- [c2]Porter Jenkins, Ahmad Farag, J. Stockton Jenkins, Huaxiu Yao, Suhang Wang, Zhenhui Li:
Neural Utility Functions. AAAI 2021: 7917-7925 - [c1]Porter Jenkins, Hua Wei, J. Stockton Jenkins, Zhenhui Li:
Probabilistic simulation of spatial demand for intelligent product allocation. GeoSim@SIGSPATIAL 2021: 9-18 - 2020
- [i1]Porter Jenkins, Hua Wei, J. Stockton Jenkins, Zhenhui Li:
A Probabilistic Simulator of Spatial Demand for Product Allocation. CoRR abs/2001.03210 (2020)
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last updated on 2024-09-10 01:13 CEST by the dblp team
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