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When deploying deep neural networks on robots or other physical systems, the learned model should reliably quantify predictive uncertainty. A reliable uncertainty allows downstream modules to reason about the safety of its actions. In this work, we a
Externí odkaz:
http://arxiv.org/abs/2405.04278
Atomic nuclei exhibit multiple energy scales ranging from hundreds of MeV in binding energies to fractions of an MeV for low-lying collective excitations. As the limits of nuclear binding is approached near the neutron- and proton driplines, traditio
Externí odkaz:
http://arxiv.org/abs/2404.00058
Publikováno v:
Phys. Rev. C 109, 064001 (2024)
We predict neutron-proton scattering cross-sections and polarization observables up to next-to-next-to-next-to leading order in a renormalization-group invariant description of the strong nucleon-nucleon interaction. Low-energy constants are calibrat
Externí odkaz:
http://arxiv.org/abs/2402.15325
Autor:
Xiong, Ziliang, Jonnarth, Arvi, Eldesokey, Abdelrahman, Johnander, Joakim, Wandt, Bastian, Forssen, Per-Erik
Computer vision systems that are deployed in safety-critical applications need to quantify their output uncertainty. We study regression from images to parameter values and here it is common to detect uncertainty by predicting probability distributio
Externí odkaz:
http://arxiv.org/abs/2306.00560
Autor:
Zhang, Yushan, Edstedt, Johan, Wandt, Bastian, Forssén, Per-Erik, Magnusson, Maria, Felsberg, Michael
We tackle the task of scene flow estimation from point clouds. Given a source and a target point cloud, the objective is to estimate a translation from each point in the source point cloud to the target, resulting in a 3D motion vector field. Previou
Externí odkaz:
http://arxiv.org/abs/2305.17432
We compute the structure of the exotic even nuclei $^{20-34}$Ne and $^{34-40}$Mg using interactions from chiral effective field theory (EFT). Our results for the ground-state rotational bands in $^{20-32}$Ne and $^{36-40}$Mg agree with data. We predi
Externí odkaz:
http://arxiv.org/abs/2305.06955
Publikováno v:
Phys. Rev. C 109, 064003 (2024)
We sample the posterior probability distributions of the low-energy constants (LECs) in $\Delta$-full chiral effective field theory ($\chi$EFT) up to third order. We use eigenvector continuation for fast and accurate emulation of the likelihood and H
Externí odkaz:
http://arxiv.org/abs/2304.02004
Publikováno v:
Phys. Rev. C 108, 054002 (2023)
We present a Bayesian analysis of renormalization-group invariant nucleon-nucleon interactions at leading order in chiral effective field theory ($\chi$EFT) with momentum cutoffs in the range 400--4000 MeV. We use history matching to identify relevan
Externí odkaz:
http://arxiv.org/abs/2302.12624
This paper describes recent developments in object specific pose and shape prediction from single images. The main contribution is a new approach to camera pose prediction by self-supervised learning of keypoints corresponding to locations on a categ
Externí odkaz:
http://arxiv.org/abs/2302.07360
A challenge in image based metrology and forensics is intrinsic camera calibration when the used camera is unavailable. The unavailability raises two questions. The first question is how to find the projection model that describes the camera, and the
Externí odkaz:
http://arxiv.org/abs/2302.06949