ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2406.04616
  4. Cited By
Evaluating Data-driven Performances of Mixed Integer Bilinear
  Formulations for Book Placement Planning

Evaluating Data-driven Performances of Mixed Integer Bilinear Formulations for Book Placement Planning

7 June 2024
Xuan Lin
Gabriel I. Fernandez
Dennis W. Hong
ArXivPDFHTML

Papers citing "Evaluating Data-driven Performances of Mixed Integer Bilinear Formulations for Book Placement Planning"

3 / 3 papers shown
Title
Designing Multi-Stage Coupled Convex Programming with Data-Driven
  McCormick Envelope Relaxations for Motion Planning
Designing Multi-Stage Coupled Convex Programming with Data-Driven McCormick Envelope Relaxations for Motion Planning
Xuan Lin
M. Ahn
Dennis W. Hong
16
6
0
14 Sep 2021
Fast Contact-Implicit Model-Predictive Control
Fast Contact-Implicit Model-Predictive Control
Simon Le Cleac'h
Taylor A. Howell
Shuo Yang
Chia-Yen Lee
John Z. Zhang
Arun L. Bishop
Mac Schwager
Zachary Manchester
81
79
0
12 Jul 2021
Solving Mixed Integer Programs Using Neural Networks
Solving Mixed Integer Programs Using Neural Networks
Vinod Nair
Sergey Bartunov
Felix Gimeno
Ingrid von Glehn
Pawel Lichocki
...
Pushmeet Kohli
Ira Ktena
Yujia Li
Oriol Vinyals
Yori Zwols
109
242
0
23 Dec 2020
1