output
20032020
most citedLogarithmic temperature profiles in turbulent Rayleigh-Bénard convection

104 citations

10 papers

physics.optics2020★ 8 cited

Rapid characterisation of linear-optical networks via PhaseLift

Daniel Suess, Nicola Maraviglia, Richard Kueng +6

Linear-optical circuits are elementary building blocks for classical and quantum information processing with light. In particular, due to its monolithic structure, integrated photo…

cs.RO2020★ 5 cited

PPMC RL Training Algorithm: Rough Terrain Intelligent Robots through Reinforcement Learning

Tamir Blum, Kazuya Yoshida

Robots can now learn how to make decisions and control themselves, generalizing learned behaviors to unseen scenarios. In particular, AI powered robots show promise in rough enviro…

cs.LG2019★ 2 cited

Deep Learned Path Planning via Randomized Reward-Linked-Goals and Potential Space Applications

Tamir Blum, William Jones, Kazuya Yoshida

Space exploration missions have seen use of increasingly sophisticated robotic systems with ever more autonomy. Deep learning promises to take this even a step further, and has app…

cs.LG2017

Sign-Constrained Regularized Loss Minimization

Tsuyoshi Kato, Misato Kobayashi, Daisuke Sano

In practical analysis, domain knowledge about analysis target has often been accumulated, although, typically, such knowledge has been discarded in the statistical analysis stage,…

physics.flu-dyn2012★ 104 cited

Logarithmic temperature profiles in turbulent Rayleigh-Bénard convection

Guenter Ahlers, Eberhard Bodenschatz, Denis Funfschilling +5

We report results for the temperature profiles of turbulent Rayleigh-Bénard convection (RBC) in the interior of a cylindrical sample of aspect ratio ( and $…

math.NA2010

New Approach to Identify Common Eigenvalues of real matrices using Gerschgorin Theorem and Bisection method

D. Roopamala, S. K. Katti

In this paper, a new approach is presented to determine common eigenvalues of two matrices. It is based on Gerschgorin theorem and Bisection method. The proposed approach is simple…