Zobrazeno 1 - 10
of 1 267
pro vyhledávání: '"HUBER, MARTIN"'
We propose a difference-in-differences (DiD) method for a time-varying continuous treatment and multiple time periods. Our framework assesses the average treatment effect on the treated (ATET) when comparing two non-zero treatment doses. The identifi
Externí odkaz:
http://arxiv.org/abs/2410.21105
Autor:
Noah, Avia, Fridman, Nofar, Zur, Yishay, Markman, Maya, King, Yotam Katz, Klang, Maya, Rama-Eiroa, Ricardo, Solanki, Harshvardhan, Ashby, Michael L. Reichenberg, Levin, Tamar, Herrera, Edwin, Huber, Martin E., Gazit, Snir, Santos, Elton J. G., Suderow, Hermann, Steinberg, Hadar, Millo, Oded, Anahory, Yonathan
Nano-patterned magnetic materials have opened new venues on the investigation of strongly correlated phenomena including artificial spin-ice systems, geometric frustration, magnetic monopoles, for technologically important applications such as reconf
Externí odkaz:
http://arxiv.org/abs/2410.07310
Autor:
Noah, Avia, Fridman, Nofar, Zur, Yishay, Klang, Maya, Herrera, Edwin, Moreno, Jose Antonio, Huber, Martin E., Suderow, Hermann, Steinberg, Hadar, Millo, Oded, Anahory, Yonathan
The coercivity of single-domain magnetic nanoparticles typically decreases with the nanoparticle size and reaches zero when thermal fluctuations overcome the magnetic anisotropy. Here, we used SQUID-on-tip microscopy to investigate the coercivity of
Externí odkaz:
http://arxiv.org/abs/2410.06258
Autor:
Mower, Christopher E., Huber, Martin, Tian, Huanyu, Davoodi, Ayoob, Poorten, Emmanuel Vander, Vercauteren, Tom, Bergeles, Christos
Future operating theatres will be equipped with robots to perform various surgical tasks including, for example, endoscope control. Human-in-the-loop supervisory control architectures where the surgeon selects from several autonomous sequences is alr
Externí odkaz:
http://arxiv.org/abs/2407.21570
Autor:
Huber, Martin
In social sciences and economics, causal inference traditionally focuses on assessing the impact of predefined treatments (or interventions) on predefined outcomes, such as the effect of education programs on earnings. Causal discovery, in contrast,
Externí odkaz:
http://arxiv.org/abs/2407.08602
This study introduces a data-driven, machine learning-based method to detect suitable control variables and instruments for assessing the causal effect of a treatment on an outcome in observational data, if they exist. Our approach tests the joint ex
Externí odkaz:
http://arxiv.org/abs/2407.04448
We propose a test for the identification of causal effects in mediation and dynamic treatment models that is based on two sets of observed variables, namely covariates to be controlled for and suspected instruments, building on the test by Huber and
Externí odkaz:
http://arxiv.org/abs/2406.13826
Autor:
Tian, Huanyu, Huber, Martin, Mower, Christopher E., Han, Zhe, Li, Changsheng, Duan, Xingguang, Bergeles, Christos
In this study, we introduce a novel shared-control system for key-hole docking operations, combining a commercial camera with occlusion-robust pose estimation and a hand-eye information fusion technique. This system is used to enhance docking precisi
Externí odkaz:
http://arxiv.org/abs/2405.05817
Autor:
Huber, Martin, Oeß, Eva-Maria
This paper introduces an overidentification test of two alternative assumptions to identify the average treatment effect on the treated in a two-period panel data setting: unconfoundedness and common trends. Under the unconfoundedness assumption, tre
Externí odkaz:
http://arxiv.org/abs/2404.16961
Autor:
Tian, Huanyu, Huber, Martin, Mower, Christopher E., Han, Zhe, Li, Changsheng, Duan, Xingguang, Bergeles, Christos
This paper proposes a novel, more computationally efficient method for optimizing robot excitation trajectories for dynamic parameter identification, emphasizing self-collision avoidance. This addresses the system identification challenges for gettin
Externí odkaz:
http://arxiv.org/abs/2401.16566