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Found 8 papers, 3 papers with code
Reliable Student: Addressing Noise in Semi-Supervised 3D Object Detection
Semi-supervised 3D object detection can benefit from the promising pseudo-labeling technique when labeled data is limited.
CamLessMonoDepth: Monocular Depth Estimation with Unknown Camera Parameters
Recent advances in monocular depth estimation have shown that gaining such knowledge from a single camera input is possible by training deep neural networks to predict inverse depth and pose, without the necessity of ground truth data.
High thermoelectric power factor of poly(3-hexylthiophene) through in-plane alignment and doping with a molybdenum dithiolene complex
Here we report a record thermoelectric power factor of up to 160 $\mu$ W m-1 K-2 for the conjugated polymer poly(3-hexylthiophene) (P3HT).
Applied Physics Materials Science
Geometric criteria for realizability of tensegrities in higher dimensions
In this paper we study a classical Maxwell question on the existence of self-stresses for frameworks, which are called tensegrities.
Combinatorics Metric Geometry 05C10, 52C25
A primer to numerical simulations: The perihelion motion of Mercury
In addition a method is discussed that allows one to estimate the size of the effect as well as the uncertainty of the approach a priori.
Physics Education
Non-convex Global Minimization and False Discovery Rate Control for the TREX
The TREX is a recently introduced method for performing sparse high-dimensional regression.
Topology Adaptive Graph Estimation in High Dimensions
We introduce Graphical TREX (GTREX), a novel method for graph estimation in high-dimensional Gaussian graphical models.
Don't Fall for Tuning Parameters: Tuning-Free Variable Selection in High Dimensions With the TREX
However, Square-Root Lasso still requires the calibration of a tuning parameter to all other aspects of the model.
