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GoTube: Scalable Stochastic Verification of Continuous-Depth Models

GoTube: Scalable Stochastic Verification of Continuous-Depth Models

18 July 2021
Sophie Gruenbacher
Mathias Lechner
Ramin Hasani
Daniela Rus
T. Henzinger
S. Smolka
Radu Grosu
ArXivPDFHTML

Papers citing "GoTube: Scalable Stochastic Verification of Continuous-Depth Models"

15 / 15 papers shown
Title
Robustness Analysis of Continuous-Depth Models with Lagrangian
  Techniques
Robustness Analysis of Continuous-Depth Models with Lagrangian Techniques
Sophie A. Neubauer
Radu Grosu
20
0
0
23 Aug 2023
On the Trade-off Between Efficiency and Precision of Neural Abstraction
On the Trade-off Between Efficiency and Precision of Neural Abstraction
Alec Edwards
Mirco Giacobbe
Alessandro Abate
22
0
0
28 Jul 2023
Verifying Safety of Neural Networks from Topological Perspectives
Verifying Safety of Neural Networks from Topological Perspectives
Zhen Liang
Dejin Ren
Bai Xue
J. Wang
Wenjing Yang
Wanwei Liu
AAML
33
0
0
27 Jun 2023
One-Shot Strategically Deconflicted Route and Operational Volume
  Generation for Urban Air Mobility Operations
One-Shot Strategically Deconflicted Route and Operational Volume Generation for Urban Air Mobility Operations
E. Thompson
Yan Xu
Peng Wei
11
0
0
22 May 2023
Neural Abstractions
Neural Abstractions
Alessandro Abate
Alec Edwards
Mirco Giacobbe
19
14
0
27 Jan 2023
On the Forward Invariance of Neural ODEs
On the Forward Invariance of Neural ODEs
Wei Xiao
Tsun-Hsuan Wang
Ramin Hasani
Mathias Lechner
Yutong Ban
Chuang Gan
Daniela Rus
33
11
0
10 Oct 2022
Safety Verification for Neural Networks Based on Set-boundary Analysis
Safety Verification for Neural Networks Based on Set-boundary Analysis
Zhen Liang
Dejin Ren
Wanwei Liu
Ji Wang
Wenjing Yang
Bai Xue
AAML
34
4
0
09 Oct 2022
Reachability Analysis of a General Class of Neural Ordinary Differential
  Equations
Reachability Analysis of a General Class of Neural Ordinary Differential Equations
Diego Manzanas Lopez
Patrick Musau
Nathaniel P. Hamilton
Taylor T. Johnson
23
14
0
13 Jul 2022
Differentiable Control Barrier Functions for Vision-based End-to-End
  Autonomous Driving
Differentiable Control Barrier Functions for Vision-based End-to-End Autonomous Driving
Wei Xiao
Tsun-Hsuan Wang
Makram Chahine
Alexander Amini
Ramin Hasani
Daniela Rus
25
26
0
04 Mar 2022
Stability Verification in Stochastic Control Systems via Neural Network
  Supermartingales
Stability Verification in Stochastic Control Systems via Neural Network Supermartingales
Mathias Lechner
Dorde Zikelic
K. Chatterjee
T. Henzinger
13
31
0
17 Dec 2021
A Simple and Efficient Sampling-based Algorithm for General Reachability
  Analysis
A Simple and Efficient Sampling-based Algorithm for General Reachability Analysis
T. Lew
Lucas Janson
Riccardo Bonalli
Marco Pavone
16
18
0
10 Dec 2021
BarrierNet: A Safety-Guaranteed Layer for Neural Networks
BarrierNet: A Safety-Guaranteed Layer for Neural Networks
Wei Xiao
Ramin Hasani
Xiao Li
Daniela Rus
21
19
0
22 Nov 2021
Causal Navigation by Continuous-time Neural Networks
Causal Navigation by Continuous-time Neural Networks
Charles J. Vorbach
Ramin Hasani
Alexander Amini
Mathias Lechner
Daniela Rus
26
47
0
15 Jun 2021
On The Verification of Neural ODEs with Stochastic Guarantees
On The Verification of Neural ODEs with Stochastic Guarantees
Sophie Gruenbacher
Ramin Hasani
Mathias Lechner
J. Cyranka
S. Smolka
Radu Grosu
74
31
0
16 Dec 2020
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
231
1,837
0
03 Feb 2017
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