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. 1811.08359
  4. Cited By
Strong mixed-integer programming formulations for trained neural
  networks

Strong mixed-integer programming formulations for trained neural networks

20 November 2018
Ross Anderson
Joey Huchette
Christian Tjandraatmadja
J. Vielma
ArXivPDFHTML

Papers citing "Strong mixed-integer programming formulations for trained neural networks"

4 / 54 papers shown
Title
A Convex Relaxation Barrier to Tight Robustness Verification of Neural
  Networks
A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks
Hadi Salman
Greg Yang
Huan Zhang
Cho-Jui Hsieh
Pengchuan Zhang
AAML
52
263
0
23 Feb 2019
Empirical Bounds on Linear Regions of Deep Rectifier Networks
Empirical Bounds on Linear Regions of Deep Rectifier Networks
Thiago Serra
Srikumar Ramalingam
8
42
0
08 Oct 2018
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
251
1,842
0
03 Feb 2017
Input Convex Neural Networks
Input Convex Neural Networks
Brandon Amos
Lei Xu
J. Zico Kolter
187
603
0
22 Sep 2016
Previous
12