Saved in:
| Main Authors: | Lu, Qiujing, Wang, Xuanhan, Yuan, Runze, Lu, Wei, Gong, Xinyi, Feng, Shuo |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2512.07874 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Accurately Predicting Probabilities of Safety-Critical Rare Events for Intelligent Systems
by: Bai, Ruoxuan, et al.
Published: (2024)
by: Bai, Ruoxuan, et al.
Published: (2024)
Realistic Corner Case Generation for Autonomous Vehicles with Multimodal Large Language Model
by: Lu, Qiujing, et al.
Published: (2024)
by: Lu, Qiujing, et al.
Published: (2024)
Multimodal Large Language Model Driven Scenario Testing for Autonomous Vehicles
by: Lu, Qiujing, et al.
Published: (2024)
by: Lu, Qiujing, et al.
Published: (2024)
Evaluation of adaptive sampling methods in scenario generation for virtual safety impact assessment of pre-crash safety systems
by: Yang, Xiaomi, et al.
Published: (2025)
by: Yang, Xiaomi, et al.
Published: (2025)
An Exterior Method for Nonnegative Matrix Factorization
by: Lu, Qiujing, et al.
Published: (2026)
by: Lu, Qiujing, et al.
Published: (2026)
Assessing behaviour coverage in a multi-agent system simulation for autonomous vehicle testing
by: Franco-Vivo, Manuel
Published: (2025)
by: Franco-Vivo, Manuel
Published: (2025)
OpenLKA: an open dataset of lane keeping assist from market autonomous vehicles
by: Wang, Yuhang, et al.
Published: (2025)
by: Wang, Yuhang, et al.
Published: (2025)
Motion planning for off-road autonomous driving based on human-like cognition and weight adaptation
by: Wang, Yuchun, et al.
Published: (2024)
by: Wang, Yuchun, et al.
Published: (2024)
Data selection method for assessment of autonomous vehicles
by: Trinh, Linh, et al.
Published: (2024)
by: Trinh, Linh, et al.
Published: (2024)
The day-ahead scenario generation method for new energy based on an improved conditional generative diffusion model
by: Wang, Changgang, et al.
Published: (2025)
by: Wang, Changgang, et al.
Published: (2025)
Industrial brain: a human-like autonomous neuro-symbolic cognitive decision-making system
by: Wang, Junping, et al.
Published: (2025)
by: Wang, Junping, et al.
Published: (2025)
COMEX Copper Futures Volatility Forecasting: Econometric Models and Deep Learning
by: Wang, Zian, et al.
Published: (2024)
by: Wang, Zian, et al.
Published: (2024)
Exploring reinforcement learning for incident response in autonomous military vehicles
by: Madsen, Henrik, et al.
Published: (2024)
by: Madsen, Henrik, et al.
Published: (2024)
Self-test loss functions for learning weak-form operators and gradient flows
by: Gao, Yuan, et al.
Published: (2024)
by: Gao, Yuan, et al.
Published: (2024)
A Wasserstein GAN-based climate scenario generator for risk management and insurance: the case of soil subsidence
by: Heranval, Antoine, et al.
Published: (2026)
by: Heranval, Antoine, et al.
Published: (2026)
Rapid aerodynamic prediction of swept wings via physics-embedded transfer learning
by: Yang, Yunjia, et al.
Published: (2024)
by: Yang, Yunjia, et al.
Published: (2024)
Learning-based social coordination to improve safety and robustness of cooperative autonomous vehicles in mixed traffic
by: Valiente, Rodolfo, et al.
Published: (2022)
by: Valiente, Rodolfo, et al.
Published: (2022)
Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness
by: Llorca, David Fernández, et al.
Published: (2024)
by: Llorca, David Fernández, et al.
Published: (2024)
SplitVAEs: Decentralized scenario generation from siloed data for stochastic optimization problems
by: Islam, H M Mohaimanul, et al.
Published: (2024)
by: Islam, H M Mohaimanul, et al.
Published: (2024)
RouteRL: Multi-agent reinforcement learning framework for urban route choice with autonomous vehicles
by: Akman, Ahmet Onur, et al.
Published: (2025)
by: Akman, Ahmet Onur, et al.
Published: (2025)
Realistic adversarial scenario generation via human-like pedestrian model for autonomous vehicle control parameter optimisation
by: Wang, Yueyang, et al.
Published: (2026)
by: Wang, Yueyang, et al.
Published: (2026)
Risk-anticipatory autonomous driving strategies considering vehicles' weights, based on hierarchical deep reinforcement learning
by: Chen, Di, et al.
Published: (2023)
by: Chen, Di, et al.
Published: (2023)
Towards LLM-enabled autonomous combustion research: A literature-aware agent for self-corrective modeling workflows
by: Xiao, Ke, et al.
Published: (2026)
by: Xiao, Ke, et al.
Published: (2026)
How Can Large Language Models Understand Spatial-Temporal Data?
by: Liu, Lei, et al.
Published: (2024)
by: Liu, Lei, et al.
Published: (2024)
Collapsing ROC approach for risk prediction research on both common and rare variants
by: Wei, Changshuai, et al.
Published: (2025)
by: Wei, Changshuai, et al.
Published: (2025)
Group-specific discriminant analysis reveals statistically validated sex differences in lateralization of brain functional network
by: Zhou, Shuo, et al.
Published: (2024)
by: Zhou, Shuo, et al.
Published: (2024)
Multi-Task Learning with Feature-Similarity Laplacian Graphs for Predicting Alzheimer's Disease Progression
by: Xu, Zixiang, et al.
Published: (2025)
by: Xu, Zixiang, et al.
Published: (2025)
RobustVLA: Robustness-Aware Reinforcement Post-Training for Vision-Language-Action Models
by: Zhang, Hongyin, et al.
Published: (2025)
by: Zhang, Hongyin, et al.
Published: (2025)
Fast and interpretable electricity consumption scenario generation for individual consumers
by: Soenen, J., et al.
Published: (2024)
by: Soenen, J., et al.
Published: (2024)
Personalized federated prototype learning in mixed heterogeneous data scenarios
by: Zeng, Jiahao, et al.
Published: (2025)
by: Zeng, Jiahao, et al.
Published: (2025)
Multi-class real-time crash risk forecasting using convolutional neural network: Istanbul case study
by: Alafi, Behnaz, et al.
Published: (2024)
by: Alafi, Behnaz, et al.
Published: (2024)
A rapid approach to urban traffic noise mapping with a generative adversarial network
by: Yang, Xinhao, et al.
Published: (2024)
by: Yang, Xinhao, et al.
Published: (2024)
Learning with Mixture of Prototypes for Out-of-Distribution Detection
by: Lu, Haodong, et al.
Published: (2024)
by: Lu, Haodong, et al.
Published: (2024)
Multimodal Health Risk Prediction System for Chronic Diseases via Vision-Language Fusion and Large Language Models
by: Lu, Dingxin, et al.
Published: (2025)
by: Lu, Dingxin, et al.
Published: (2025)
Research on Personalized Medical Intervention Strategy Generation System based on Group Relative Policy Optimization and Time-Series Data Fusion
by: Lu, Dingxin, et al.
Published: (2025)
by: Lu, Dingxin, et al.
Published: (2025)
A semantic communication-based workload-adjustable transceiver for wireless AI-generated content (AIGC) delivery
by: Cheng, Runze, et al.
Published: (2025)
by: Cheng, Runze, et al.
Published: (2025)
Diffusion-based supervised learning of generative models for efficient sampling of multimodal distributions
by: Tran, Hoang, et al.
Published: (2025)
by: Tran, Hoang, et al.
Published: (2025)
Advanced spectral clustering for heterogeneous data in credit risk monitoring systems
by: Han, Lu, et al.
Published: (2025)
by: Han, Lu, et al.
Published: (2025)
Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques
by: Majidi, Mohammad Zana, et al.
Published: (2025)
by: Majidi, Mohammad Zana, et al.
Published: (2025)
Discriminability-Driven Spatial-Channel Selection with Gradient Norm for Drone Signal OOD Detection
by: Feng, Chuhan, et al.
Published: (2026)
by: Feng, Chuhan, et al.
Published: (2026)
Similar Items
-
Accurately Predicting Probabilities of Safety-Critical Rare Events for Intelligent Systems
by: Bai, Ruoxuan, et al.
Published: (2024) -
Realistic Corner Case Generation for Autonomous Vehicles with Multimodal Large Language Model
by: Lu, Qiujing, et al.
Published: (2024) -
Multimodal Large Language Model Driven Scenario Testing for Autonomous Vehicles
by: Lu, Qiujing, et al.
Published: (2024) -
Evaluation of adaptive sampling methods in scenario generation for virtual safety impact assessment of pre-crash safety systems
by: Yang, Xiaomi, et al.
Published: (2025) -
An Exterior Method for Nonnegative Matrix Factorization
by: Lu, Qiujing, et al.
Published: (2026)