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Learning Density Distribution of Reachable States for Autonomous Systems

Learning Density Distribution of Reachable States for Autonomous Systems

14 September 2021
Yue Meng
Dawei Sun
Zeng Qiu
Md Tawhid Bin Waez
Chuchu Fan
ArXivPDFHTML

Papers citing "Learning Density Distribution of Reachable States for Autonomous Systems"

15 / 15 papers shown
Title
Predicting AI Agent Behavior through Approximation of the
  Perron-Frobenius Operator
Predicting AI Agent Behavior through Approximation of the Perron-Frobenius Operator
Shiqi Zhang
D. Gadginmath
Fabio Pasqualetti
37
0
0
04 Jun 2024
Transport of Algebraic Structure to Latent Embeddings
Transport of Algebraic Structure to Latent Embeddings
Samuel Pfrommer
Brendon G. Anderson
Somayeh Sojoudi
21
0
0
27 May 2024
Automated Repair of AI Code with Large Language Models and Formal
  Verification
Automated Repair of AI Code with Large Language Models and Formal Verification
Yiannis Charalambous
Edoardo Manino
Lucas C. Cordeiro
25
2
0
14 May 2024
NeuroCodeBench: a plain C neural network benchmark for software
  verification
NeuroCodeBench: a plain C neural network benchmark for software verification
Edoardo Manino
R. Menezes
F. Shmarov
Lucas C. Cordeiro
8
1
0
07 Sep 2023
A Diversity Analysis of Safety Metrics Comparing Vehicle Performance in
  the Lead-Vehicle Interaction Regime
A Diversity Analysis of Safety Metrics Comparing Vehicle Performance in the Lead-Vehicle Interaction Regime
Harnarayan Singh
Bowen Weng
Sughosh J. Rao
Devin H. Elsasser
12
3
0
26 Jun 2023
The Third International Verification of Neural Networks Competition
  (VNN-COMP 2022): Summary and Results
The Third International Verification of Neural Networks Competition (VNN-COMP 2022): Summary and Results
Mark Niklas Muller
Christopher Brix
Stanley Bak
Changliu Liu
Taylor T. Johnson
NAI
10
43
0
20 Dec 2022
Statistical Safety and Robustness Guarantees for Feedback Motion
  Planning of Unknown Underactuated Stochastic Systems
Statistical Safety and Robustness Guarantees for Feedback Motion Planning of Unknown Underactuated Stochastic Systems
Craig Knuth
Glen Chou
Jamie Reese
Joseph L. Moore
11
5
0
13 Dec 2022
Density Planner: Minimizing Collision Risk in Motion Planning with
  Dynamic Obstacles using Density-based Reachability
Density Planner: Minimizing Collision Risk in Motion Planning with Dynamic Obstacles using Density-based Reachability
Laura Lutzow
Yue Meng
Andres S. Chavez Armijos
Chuchu Fan
11
4
0
05 Oct 2022
Case Studies for Computing Density of Reachable States for Safe
  Autonomous Motion Planning
Case Studies for Computing Density of Reachable States for Safe Autonomous Motion Planning
Yue Meng
Zeng Qiu
Md Tawhid Bin Waez
Chuchu Fan
20
5
0
16 Sep 2022
NExG: Provable and Guided State Space Exploration of Neural Network
  Control Systems using Sensitivity Approximation
NExG: Provable and Guided State Space Exploration of Neural Network Control Systems using Sensitivity Approximation
Manish Goyal
Miheer Dewaskar
Parasara Sridhar Duggirala
20
2
0
08 Jul 2022
Data-driven Set-based Estimation of Polynomial Systems with Application
  to SIR Epidemics
Data-driven Set-based Estimation of Polynomial Systems with Application to SIR Epidemics
Amr Alanwar
Muhammad Umar B. Niazi
Karl H. Johansson
14
4
0
08 Nov 2021
Fourier Neural Operator for Parametric Partial Differential Equations
Fourier Neural Operator for Parametric Partial Differential Equations
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
AI4CE
203
2,254
0
18 Oct 2020
Reachability Analysis for Feed-Forward Neural Networks using Face
  Lattices
Reachability Analysis for Feed-Forward Neural Networks using Face Lattices
Xiaodong Yang
Hoang-Dung Tran
Weiming Xiang
Taylor Johnson
CVBM
65
19
0
02 Mar 2020
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
72
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
222
1,818
0
03 Feb 2017
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