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pro vyhledávání: '"Zhang,Huan"'
Autor:
Lin, Haohong, Huang, Xin, Phan-Minh, Tung, Hayden, David S., Zhang, Huan, Zhao, Ding, Srinivasa, Siddhartha, Wolff, Eric M., Chen, Hongge
Simulation is critical for safety evaluation in autonomous driving, particularly in capturing complex interactive behaviors. However, generating realistic and controllable traffic scenarios in long-tail situations remains a significant challenge. Exi
Externí odkaz:
http://arxiv.org/abs/2412.17920
Neural-network-based dynamics models learned from observational data have shown strong predictive capabilities for scene dynamics in robotic manipulation tasks. However, their inherent non-linearity presents significant challenges for effective plann
Externí odkaz:
http://arxiv.org/abs/2412.09584
Estimating the uncertainty of responses of Large Language Models~(LLMs) remains a critical challenge. While recent Bayesian methods have demonstrated effectiveness in quantifying uncertainty through low-rank weight updates, they typically require com
Externí odkaz:
http://arxiv.org/abs/2412.05723
In recent years, many neural network (NN) verifiers have been developed to formally verify certain properties of neural networks such as robustness. Although many benchmarks have been constructed to evaluate the performance of NN verifiers, they typi
Externí odkaz:
http://arxiv.org/abs/2412.03154
We study the problem of learning Lyapunov-stable neural controllers which provably satisfy the Lyapunov asymptotic stability condition within a region-of-attraction. Compared to previous works which commonly used counterexample guided training on thi
Externí odkaz:
http://arxiv.org/abs/2411.18235
Vision Language Models (VLMs) can produce unintended and harmful content when exposed to adversarial attacks, particularly because their vision capabilities create new vulnerabilities. Existing defenses, such as input preprocessing, adversarial train
Externí odkaz:
http://arxiv.org/abs/2411.16721
Outdoor images often suffer from severe degradation due to rain, haze, and noise, impairing image quality and challenging high-level tasks. Current image restoration methods struggle to handle complex degradation while maintaining efficiency. This pa
Externí odkaz:
http://arxiv.org/abs/2411.07893
The rapid advancements in Vision-Language Models (VLMs) have shown great potential in tackling mathematical reasoning tasks that involve visual context. Unlike humans who can reliably apply solution steps to similar problems with minor modifications,
Externí odkaz:
http://arxiv.org/abs/2411.00836
Open-source Large Language Models (LLMs) have recently demonstrated remarkable capabilities in natural language understanding and generation, leading to widespread adoption across various domains. However, their increasing model sizes render local de
Externí odkaz:
http://arxiv.org/abs/2410.22307
Autor:
Guo, Xingang, Keivan, Darioush, Syed, Usman, Qin, Lianhui, Zhang, Huan, Dullerud, Geir, Seiler, Peter, Hu, Bin
Control system design is a crucial aspect of modern engineering with far-reaching applications across diverse sectors including aerospace, automotive systems, power grids, and robotics. Despite advances made by Large Language Models (LLMs) in various
Externí odkaz:
http://arxiv.org/abs/2410.19811