Zobrazeno 1 - 10
of 870
pro vyhledávání: '"Milz P"'
Autor:
Milz, Johannes, Walter, Daniel
Nonsmooth composite optimization problems under uncertainty are prevalent in various scientific and engineering applications. We consider risk-neutral composite optimal control problems, where the objective function is the sum of a potentially noncon
Externí odkaz:
http://arxiv.org/abs/2408.10384
Autor:
Melnikov, Olena, Milz, Johannes
We establish epigraphical and uniform laws of large numbers for sample-based approximations of law invariant risk functionals. These sample-based approximation schemes include Monte Carlo (MC) and certain randomized quasi-Monte Carlo integration (RQM
Externí odkaz:
http://arxiv.org/abs/2408.02842
Autor:
Melnikov, Olena, Milz, Johannes
We consider optimal control problems involving nonlinear ordinary differential equations with uncertain inputs. Using the sample average approximation, we obtain optimal control problems with ensembles of deterministic dynamical systems. Leveraging t
Externí odkaz:
http://arxiv.org/abs/2407.18182
Autor:
Li, Danlin, Milz, Johannes
Motivated by optimization with differential equations, we consider optimization problems with Hilbert spaces as decision spaces. As a consequence of their infinite dimensionality, the numerical solution necessitates finite dimensional approximations
Externí odkaz:
http://arxiv.org/abs/2402.15948
Sensor fusion is vital for the safe and robust operation of autonomous vehicles. Accurate extrinsic sensor to sensor calibration is necessary to accurately fuse multiple sensor's data in a common spatial reference frame. In this paper, we propose a t
Externí odkaz:
http://arxiv.org/abs/2311.01905
Publikováno v:
Quantum 8, 1328 (2024)
Memory is the fundamental form of temporal complexity: when present but uncontrollable, it manifests as non-Markovian noise; conversely, if controllable, memory can be a powerful resource for information processing. Memory effects arise from/are tran
Externí odkaz:
http://arxiv.org/abs/2307.11905
Autor:
Mohapatra, Sambit, Yogamani, Senthil, Kumar, Varun Ravi, Milz, Stefan, Gotzig, Heinrich, Mäder, Patrick
LiDAR is crucial for robust 3D scene perception in autonomous driving. LiDAR perception has the largest body of literature after camera perception. However, multi-task learning across tasks like detection, segmentation, and motion estimation using Li
Externí odkaz:
http://arxiv.org/abs/2307.08850
Autor:
Milz, Johannes
We consider stochastic optimization problems with possibly nonsmooth integrands posed in Banach spaces and approximate these stochastic programs via a sample-based approaches. We establish the consistency of approximate Clarke stationary points of th
Externí odkaz:
http://arxiv.org/abs/2306.17032
Automated driving systems use multi-modal sensor suites to ensure the reliable, redundant and robust perception of the operating domain, for example camera and LiDAR. An accurate extrinsic calibration is required to fuse the camera and LiDAR data int
Externí odkaz:
http://arxiv.org/abs/2306.13240
Publikováno v:
Quantum 8, 1224 (2024)
We introduce a framework to compute upper bounds for temporal correlations achievable in open quantum system dynamics, obtained by repeated measurements on the system. As these correlations arise by virtue of the environment acting as a memory resour
Externí odkaz:
http://arxiv.org/abs/2305.19175