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. 2003.01226
  4. Cited By
Reachability Analysis for Feed-Forward Neural Networks using Face
  Lattices

Reachability Analysis for Feed-Forward Neural Networks using Face Lattices

2 March 2020
Xiaodong Yang
Hoang-Dung Tran
Weiming Xiang
Taylor Johnson
    CVBM
ArXivPDFHTML

Papers citing "Reachability Analysis for Feed-Forward Neural Networks using Face Lattices"

5 / 5 papers shown
Title
When Deep Learning Meets Polyhedral Theory: A Survey
When Deep Learning Meets Polyhedral Theory: A Survey
Joey Huchette
Gonzalo Muñoz
Thiago Serra
Calvin Tsay
AI4CE
84
32
0
29 Apr 2023
A Review of Formal Methods applied to Machine Learning
A Review of Formal Methods applied to Machine Learning
Caterina Urban
Antoine Miné
16
55
0
06 Apr 2021
Output Reachable Set Estimation and Verification for Multi-Layer Neural
  Networks
Output Reachable Set Estimation and Verification for Multi-Layer Neural Networks
Weiming Xiang
Hoang-Dung Tran
Taylor T. Johnson
66
289
0
09 Aug 2017
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
216
1,818
0
03 Feb 2017
Safety Verification of Deep Neural Networks
Safety Verification of Deep Neural Networks
Xiaowei Huang
M. Kwiatkowska
Sen Wang
Min Wu
AAML
166
883
0
21 Oct 2016
1