112 citations · 491 across the 39 of their papers we have counts for
8 papers · 1 filter
Secrecy of Multi-Antenna Transmission with Full-Duplex User in the Presence of Randomly Located Eavesdroppers
Ishmam Zabir, Ahmed Maksud, Gaojie Chen +2
This paper considers the secrecy performance of several schemes for multi-antenna transmission to single-antenna users with full-duplex (FD) capability against randomly distributed…
Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases
Yu Gu, Sue Kase, Michelle Vanni +4
Existing studies on question answering on knowledge bases (KBQA) mainly operate with the standard i.i.d assumption, i.e., training distribution over questions is the same as the te…
Inter-cluster Transmission Control Using Graph Modal Barriers
Leiming Zhang, Brian M. Sadler, Rick S. Blum +1
In this paper we consider the problem of transmission across a graph and how to effectively control/restrict it with limited resources. Transmission can represent information trans…
Ordering for Communication-Efficient Quickest Change Detection in a Decomposable Graphical Model
Yicheng Chen, Rick S. Blum, Brian M. Sadler
A quickest change detection problem is considered in a sensor network with observations whose statistical dependency structure across the sensors before and after the change is des…
Deep Multimodal Transfer-Learned Regression in Data-Poor Domains
Levi McClenny, Mulugeta Haile, Vahid Attari +3
In many real-world applications of deep learning, estimation of a target may rely on various types of input data modes, such as audio-video, image-text, etc. This task can be furth…
Collaborative Beamforming Under Localization Errors: A Discrete Optimization Approach
Erfaun Noorani, Yagiz Savas, Alec Koppel +3
We consider a network of agents that locate themselves in an environment through sensor measurements and aim to transmit a message signal to a base station via collaborative beamfo…
Regret and Belief Complexity Trade-off in Gaussian Process Bandits via Information Thresholding
Amrit Singh Bedi, Dheeraj Peddireddy, Vaneet Aggarwal +2
Bayesian optimization is a framework for global search via maximum a posteriori updates rather than simulated annealing, and has gained prominence for decision-making under uncerta…
VGAI: End-to-End Learning of Vision-Based Decentralized Controllers for Robot Swarms
Ting-Kuei Hu, Fernando Gama, Tianlong Chen +3
Decentralized coordination of a robot swarm requires addressing the tension between local perceptions and actions, and the accomplishment of a global objective. In this work, we pr…