507 citations
- Indiana University BloomingtonUS4 papers
- Indiana UniversityUS3 papers
- Bellevue Hospital CenterUS2 papers
- DEVCOM Army Research LaboratoryUS1 paper
- HES-SO University of Applied Sciences and Arts Western SwitzerlandCH1 paper
- Khalifa University of Science and TechnologyAE1 paper
- Los Alamos National LaboratoryUS1 paper
- Louisiana State UniversityUS1 paper
- Masdar Institute of Science and Technology1 paper
- New York University Abu DhabiAE1 paper
- Pacific Northwest National LaboratoryUS1 paper
- Skolkovo Institute of Science and TechnologyRU1 paper
13 papers
DataCenterGym: A Physics-Grounded Simulator for Multi-Objective Data Center Scheduling
Nilavra Pathak, Samadrita Biswas, Nirmalya Roy
Modern datacenters schedule heterogeneous workloads across geo-distributed sites with diverse compute capacities, electricity prices, and thermal conditions. Compute utilization, h…
Kernel-based diffusion approximated Markov decision processes for autonomous navigation and control on unstructured terrains
Junhong Xu, Kai Yin, Zheng Chen +3
We propose a diffusion approximation method to the continuous-state Markov Decision Processes (MDPs) that can be utilized to address autonomous navigation and control in unstructur…
Online Planning in Uncertain and Dynamic Environment in the Presence of Multiple Mobile Vehicles
Junhong Xu, Kai Yin, Lantao Liu
We investigate the autonomous navigation of a mobile robot in the presence of other moving vehicles under time-varying uncertain environmental disturbances. We first predict the fu…
Deep Personalized Re-targeting
Meisam Hejazinia, Pavlos Mitsoulis-Ntompos, Serena Zhang
Predicting booking probability and value at the traveler level plays a central role in computational advertising for massive two-sided vacation rental marketplaces. These marketpla…
State-Continuity Approximation of Markov Decision Processes via Finite Element Methods for Autonomous System Planning
Junhong Xu, Kai Yin, Lantao Liu
Motion planning under uncertainty for an autonomous system can be formulated as a Markov Decision Process with a continuous state space. In this paper, we propose a novel solution…
Efficient Super Resolution For Large-Scale Images Using Attentional GAN
Harsh Nilesh Pathak, Xinxin Li, Shervin Minaee +1
Single Image Super Resolution (SISR) is a well-researched problem with broad commercial relevance. However, most of the SISR literature focuses on small-size images under 500px, wh…