105 citations
- Princeton UniversityUS11 papers
- High Meadows Environmental InstituteUS3 papers
- The Ohio State UniversityUS2 papers
- University of PisaIT2 papers
- Centre National de la Recherche ScientifiqueFR1 paper
- École Normale Supérieure - PSLFR1 paper
- ESPCI ParisFR1 paper
- Hartford Financial Services (United States)1 paper
- Intelligent Machines (Sweden)SE1 paper
- Laboratoire de Physique de l'Ecole Normale SupérieureFR1 paper
- Missouri University of Science and TechnologyUS1 paper
- Nile UniversityUG1 paper
15 papers
Interpretable Early Warnings using Machine Learning in an Online Game-experiment
Guillaume Falmagne, Anna B. Stephenson, Simon A. Levin
Stemming from physics and later applied to other fields such as ecology, the theory of critical transitions suggests that some regime shifts are preceded by statistical early warni…
Experimental observations and modeling of sub-Hinze bubble production by turbulent bubble break-up
Daniel J. Ruth, Aditya K. Aiyer, Aliénor Rivière +2
We present experiments on large air cavities spanning a wide range of sizes relative to the Hinze scale , the scale at which turbulent stresses are balanced by surfac…
Bubble deformation by a turbulent flow
Stéphane Perrard, Aliénor Rivière, Wouter Mostert +1
We investigate the modes of deformation of an initially spherical bubble immersed in a homogeneous and isotropic turbulent background flow. We perform direct numerical simulations…
Sensing and Communication Tradeoff Design for AoI Minimization in a Cellular Internet of UAVs
Shuhang Zhang, Hongliang Zhang, Lingyang Song +2
In this paper, we consider the cellular Internet of unmanned aerial vehicles (UAVs), where UAVs sense data for multiple tasks and transmit the data to the base station (BS). To qua…
Latency and Reliability-Aware Task Offloading and Resource Allocation for Mobile Edge Computing
Chen-Feng Liu, Mehdi Bennis, H. Vincent Poor
While mobile edge computing (MEC) alleviates the computation and power limitations of mobile devices, additional latency is incurred when offloading tasks to remote MEC servers. In…
Optimal Learning for Stochastic Optimization with Nonlinear Parametric Belief Models
Xinyu He, Warren B. Powell
We consider the problem of estimating the expected value of information (the knowledge gradient) for Bayesian learning problems where the belief model is nonlinear in the parameter…