The adventure of running experiments with teenagers

Journal of Behavioral and Experimental Economics

Achieving Efficiency in Black-Box Simulation of Distribution Tails with Self-Structuring Importance Samplers

Operations Research

Deep learning based object detection from multi-modal sensors: an overview
Multimedia Tools and Applications

SUTD Author: Benjamin Prisse

SUTD Author: Karthyek Murthy

SUTD Author: Liu Jun 

“This paper is important to me because I come from an extremely rural French countryside and had little access to intellectual resources in my life. It was therefore important to me to orient my work toward people I could identify with, and I am proud to demonstrate that when you adapt your communication to them, these people have similar behavior than higher social status and urban members of society. I hope that this paper will increase the awareness of decision-makers on the fact that human resources are intrinsically available at all levels of society, and that you just need to understand what they value to communicate with then and engage them in the construction of society.” ---  Benjamin Prisse

“In the design of risk management tools for handling high-impact extreme events, can algorithms emulate the role of intricate instance-specific mathematical analysis in identifying the pathways by which such extreme events occur? In a first, this article presents a simple black-box algorithm for doing this, thereby opening the gates for accelerated measurement of the risks posed by high-impact black-swan events in complex financial and cyber-physical systems.” ---  Karthyek Murthy

“Object detection with RGB cameras has made great progress. At the same time, people are more and more aware of the limitations of RGB cameras. Meanwhile, unmanned vehicles or mobile robot platforms are often equipped with various sensors besides RGB cameras, each of which has its own characteristics, and can expand the sensing range of RGB camera from different dimensions. For example, infrared thermal cameras and multispectral cameras broaden sensing range from spectral dimension, while LiDARs and depth cameras can broaden sensing range in the spatial dimension. This paper categorizes deep learning-based object detection methods under the condition of multi-modal sensors, and surveys methods from the perspective of data fusion manners.” ---  Liu Jun