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Neural Simplex Architecture
v1v2 (latest)

Neural Simplex Architecture

NASA Formal Methods (NFM), 2019
1 August 2019
Dung Phan
Radu Grosu
N. Jansen
Nicola Paoletti
S. Smolka
Scott D. Stoller
ArXiv (abs)PDFHTML

Papers citing "Neural Simplex Architecture"

22 / 22 papers shown
Real-DRL: Teach and Learn in Reality
Real-DRL: Teach and Learn in Reality
Y. Mao
Yihao Cai
L. Sha
OffRL
189
0
0
30 Oct 2025
The Use of the Simplex Architecture to Enhance Safety in Deep-Learning-Powered Autonomous Systems
The Use of the Simplex Architecture to Enhance Safety in Deep-Learning-Powered Autonomous Systems
F. Nesti
Niko Salamini
Mauro Marinoni
Giorgio Maria Cicero
Gabriele Serra
Alessandro Biondi
Giorgio Buttazzo
208
0
0
25 Sep 2025
Runtime Learning of Quadruped Robots in Wild Environments
Runtime Learning of Quadruped Robots in Wild Environments
Yihao Cai
Y. Mao
L. Sha
H. Cao
Marco Caccamo
343
3
0
02 Mar 2025
Safety Monitoring of Machine Learning Perception Functions: a Survey
Safety Monitoring of Machine Learning Perception Functions: a SurveyInternational Conference on Climate Informatics (ICCI), 2024
Raul Sena Ferreira
Joris Guérin
Kevin Delmas
Jérémie Guiochet
H. Waeselynck
474
7
0
09 Dec 2024
Language-Enhanced Latent Representations for Out-of-Distribution
  Detection in Autonomous Driving
Language-Enhanced Latent Representations for Out-of-Distribution Detection in Autonomous Driving
Zhenjiang Mao
Dong-You Jhong
Ao Wang
Ivan Ruchkin
OODD
294
3
0
02 May 2024
Probabilistic Reach-Avoid for Bayesian Neural Networks
Probabilistic Reach-Avoid for Bayesian Neural NetworksArtificial Intelligence (AIJ), 2023
Matthew Wicker
Luca Laurenti
A. Patané
Nicola Paoletti
Alessandro Abate
Marta Z. Kwiatkowska
260
7
0
03 Oct 2023
Timeseries-aware Uncertainty Wrappers for Uncertainty Quantification of
  Information-Fusion-Enhanced AI Models based on Machine Learning
Timeseries-aware Uncertainty Wrappers for Uncertainty Quantification of Information-Fusion-Enhanced AI Models based on Machine Learning
Janek Groß
Michael Kläs
Lisa Jöckel
Pascal Gerber
185
2
0
24 May 2023
Dynamic Simplex: Balancing Safety and Performance in Autonomous Cyber
  Physical Systems
Dynamic Simplex: Balancing Safety and Performance in Autonomous Cyber Physical SystemsInternational Conference on Cyber-Physical Systems (ICCPS), 2023
Baiting Luo
Shreyas Ramakrishna
Ava Pettet
Christopher B. Kuhn
G. Karsai
Ayan Mukhopadhyay
174
8
0
20 Feb 2023
Conformal Quantitative Predictive Monitoring of STL Requirements for
  Stochastic Processes
Conformal Quantitative Predictive Monitoring of STL Requirements for Stochastic ProcessesInternational Conference on Hybrid Systems: Computation and Control (HSCC), 2022
Francesca Cairoli
Nicola Paoletti
Luca Bortolussi
370
26
0
04 Nov 2022
Safe Policy Improvement in Constrained Markov Decision Processes
Safe Policy Improvement in Constrained Markov Decision ProcessesLeveraging Applications of Formal Methods (ISoLA), 2022
Luigi Berducci
Radu Grosu
OffRL
253
2
0
20 Oct 2022
Provably Safe Reinforcement Learning via Action Projection using
  Reachability Analysis and Polynomial Zonotopes
Provably Safe Reinforcement Learning via Action Projection using Reachability Analysis and Polynomial Zonotopes
Niklas Kochdumper
Hanna Krasowski
Xiao Wang
Stanley Bak
Matthias Althoff
355
47
0
19 Oct 2022
Perception Simplex: Verifiable Collision Avoidance in Autonomous
  Vehicles Amidst Obstacle Detection Faults
Perception Simplex: Verifiable Collision Avoidance in Autonomous Vehicles Amidst Obstacle Detection FaultsSoftware testing, verification & reliability (STVR), 2022
Ayoosh Bansal
Hunmin Kim
Simon Yu
Yue Liu
N. Hovakimyan
Marco Caccamo
L. Sha
AAML
320
4
0
04 Sep 2022
Ablation Study of How Run Time Assurance Impacts the Training and
  Performance of Reinforcement Learning Agents
Ablation Study of How Run Time Assurance Impacts the Training and Performance of Reinforcement Learning AgentsIEEE International Conference on Space Mission Challenges for Information Technology (SMC-IT), 2022
Nathaniel P. Hamilton
Kyle Dunlap
Taylor T. Johnson
Kerianne L. Hobbs
OffRL
214
9
0
08 Jul 2022
An Empirical Analysis of the Use of Real-Time Reachability for the
  Safety Assurance of Autonomous Vehicles
An Empirical Analysis of the Use of Real-Time Reachability for the Safety Assurance of Autonomous VehiclesSocial Science Research Network (SSRN), 2022
Patrick Musau
Nathaniel P. Hamilton
Diego Manzanas Lopez
Preston K. Robinette
Taylor T. Johnson
169
0
0
03 May 2022
Runtime Safety Assurance for Learning-enabled Control of Autonomous
  Driving Vehicles
Runtime Safety Assurance for Learning-enabled Control of Autonomous Driving Vehicles
Shengduo Chen
Yao Sun
Dachuan Li
Qiang Wang
Qi Hao
J. Sifakis
148
24
0
28 Sep 2021
Neural Predictive Monitoring under Partial Observability
Neural Predictive Monitoring under Partial Observability
Francesca Cairoli
Luca Bortolussi
Nicola Paoletti
196
20
0
16 Aug 2021
Runtime Monitoring for Markov Decision Processes
Runtime Monitoring for Markov Decision ProcessesInternational Conference on Computer Aided Verification (CAV), 2021
Sebastian Junges
Hazem Torfah
Sanjit A. Seshia
106
5
0
26 May 2021
Certified Control: An Architecture for Verifiable Safety of Autonomous
  Vehicles
Certified Control: An Architecture for Verifiable Safety of Autonomous Vehicles
Daniel Jackson
Valerie Richmond
Mike Wang
Jeff Chow
Uriel Guajardo
Soonho Kong
S. Campos
Geoffrey Litt
Nikos Arechiga
141
5
0
29 Mar 2021
A Distributed Simplex Architecture for Multi-Agent Systems
A Distributed Simplex Architecture for Multi-Agent SystemsInternational Symposium on Software Engineering: Theories, Tools, and Applications (ISSETTA), 2020
Usama Mehmood
Scott D. Stoller
Radu Grosu
Shouvik Roy
Amol Damare
S. Smolka
AI4CE
84
18
0
18 Dec 2020
SOTER on ROS: A Run-Time Assurance Framework on the Robot Operating
  System
SOTER on ROS: A Run-Time Assurance Framework on the Robot Operating System
S. Shivakumar
Hazem Torfah
Ankush Desai
Sanjit A. Seshia
88
16
0
21 Aug 2020
Verifiably Safe Exploration for End-to-End Reinforcement Learning
Verifiably Safe Exploration for End-to-End Reinforcement Learning
Nathan Hunt
Nathan Fulton
Sara Magliacane
Nghia Hoang
Subhro Das
Armando Solar-Lezama
OffRL
234
63
0
02 Jul 2020
Formal Verification of End-to-End Learning in Cyber-Physical Systems:
  Progress and Challenges
Formal Verification of End-to-End Learning in Cyber-Physical Systems: Progress and Challenges
Nathan Fulton
Nathan Hunt
Nghia Hoang
Subhro Das
165
5
0
15 Jun 2020
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