Optimization Over Trained Neural Networks: Taking a Relaxing Walk

7 January 2024

Papers citing "Optimization Over Trained Neural Networks: Taking a Relaxing Walk"

7 / 7 papers shown

Title
Computational Tradeoffs of Optimization-Based Bound Tightening in ReLU Networks Fabian Badilla Marcos Goycoolea Gonzalo Muñoz Thiago Serra 45 7 0 27 Dec 2023
Mixed-Integer Optimisation of Graph Neural Networks for Computer-Aided Molecular Design Tom McDonald Calvin Tsay Artur M. Schweidtmann Neil Yorke-Smith 46 14 0 02 Dec 2023
When Deep Learning Meets Polyhedral Theory: A Survey Joey Huchette Gonzalo Muñoz Thiago Serra Calvin Tsay AI4CE 84 32 0 29 Apr 2023
Neur2SP: Neural Two-Stage Stochastic Programming Justin Dumouchelle R. Patel Elias Boutros Khalil Merve Bodur 32 26 0 20 May 2022
Mixed-Integer Optimization with Constraint Learning Donato Maragno H. Wiberg Dimitris Bertsimas Ş. Birbil D. Hertog Adejuyigbe O. Fajemisin 46 39 0 04 Nov 2021
Optimization with Constraint Learning: A Framework and Survey Adejuyigbe O. Fajemisin Donato Maragno D. Hertog 35 29 0 05 Oct 2021
BRPO: Batch Residual Policy Optimization Kentaro Kanamori Yinlam Chow Takuya Takagi Hiroki Arimura Honglak Lee Ken Kobayashi Craig Boutilier OffRL 123 46 0 08 Feb 2020