Past year
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Nov 29, 2023 , Abstract—We present ReLU-QP, a GPU-accelerated solver for quadratic programs (QPs) that is capable of solving high- dimensional control problems at ...
Nov 11, 2023 , Our experimental results show that GMBE on an NVIDIA A100 GPU can achieve 70.6/ speedup over the state-of-the-art parallel MBE algorithm ParMBE on a 96-core CPU ...
Jun 11, 2024 , We present a method to solve convex continuous optimization problems with quadratic cost functions and linear constraints on Intel's scalable neuromorphic ...
Aug 12, 2024 , This paper proposes DeepPlan to minimize inference latency while provisioning DL models from host to GPU in server environments.
Oct 11, 2024 , A. Bemporad, ^Learning-based stochastic model predictive control for autonomous driving at uncontrolled intersections, ̄ 2023, submitted for publication.
Aug 19, 2024 , Small models cater to the need for efficiency, particularly important for deploying multimodal systems on edge devices, while large models emphasize the pursuit ...
Dec 13, 2023 , FlyBot utilizes model predictive control (MPC) [89] to follow the path identified by the planner. MPC formulates motion control as a convex optimization ...
Sep 28, 2024 , In particular, we will introduce policy optimization-based approaches, formal methods-based approaches, control theory-based approaches, and Gaussian processes- ...
Jun 20, 2024 , This paper explores the use of neuromorphic hardware for efficient and scalable model predictive control (MPC) by solving quadratic programming (QP) ...
Feb 7, 2024 , My research interests include algorithmic, software, and hardware techniques for high-performance machine learning, with a focus on relaxed-consistency variants ...