112 citations · 491 across the 39 of their papers we have counts for
41 papers
Octonion Phase Retrieval
Roman Jacome, Kumar Vijay Mishra, Brian M. Sadler +1
Signal processing over hypercomplex numbers arises in many optical imaging applications. In particular, spectral image or color stereo data are often processed using octonion algeb…
Statistical Detection of Coordination in a Cognitive Radar Network through Inverse Multi-objective Optimization
Luke Snow, Vikram Krishnamurthy
Consider a target being tracked by a cognitive radar network. If the target can intercept noisy radar emissions, how can it detect coordination in the radar network? By 'coordinati…
Quickest Detection for Human-Sensor Systems using Quantum Decision Theory
Luke Snow, Vikram Krishnamurthy, Brian M. Sadler
In mathematical psychology, recent models for human decision-making use Quantum Decision Theory to capture important human-centric features such as order effects and violation of t…
Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning
Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel +4
Model-based approaches to reinforcement learning (MBRL) exhibit favorable performance in practice, but their theoretical guarantees in large spaces are mostly restricted to the set…
Communication Efficient Federated Learning via Ordered ADMM in a Fully Decentralized Setting
Yicheng Chen, Rick S. Blum, Brian M. Sadler
The challenge of communication-efficient distributed optimization has attracted attention in recent years. In this paper, a communication efficient algorithm, called ordering-based…
One Step at a Time: Long-Horizon Vision-and-Language Navigation with Milestones
Chan Hee Song, Jihyung Kil, Tai-Yu Pan +3
We study the problem of developing autonomous agents that can follow human instructions to infer and perform a sequence of actions to complete the underlying task. Significant prog…
Non-Convex Recovery from Phaseless Low-Resolution Blind Deconvolution Measurements using Noisy Masked Patterns
Samuel Pinilla, Kumar Vijay Mishra, Brian M. Sadler
This paper addresses recovery of a kernel and a signal from the low-resolution phaseless measurements of their…
Joint Radar-Communications Processing from a Dual-Blind Deconvolution Perspective
Edwin Vargas, Kumar Vijay Mishra, Roman Jacome +2
We consider a general spectral coexistence scenario, wherein the channels and transmit signals of both radar and communications systems are unknown at the receiver. In this \textit…
Unique Bispectrum Inversion for Signals with Finite Spectral/Temporal Support
Samuel Pinilla, Kumar Vijay Mishra, Brian M. Sadler
Retrieving a signal from its triple correlation spectrum, also called bispectrum, arises in a wide range of signal processing problems. Conventional methods do not provide an accur…
Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems
Amanda Prorok, Matthew Malencia, Luca Carlone +3
Robustness is key to engineering, automation, and science as a whole. However, the property of robustness is often underpinned by costly requirements such as over-provisioning, kno…
Training Robust Graph Neural Networks with Topology Adaptive Edge Dropping
Zhan Gao, Subhrajit Bhattacharya, Leiming Zhang +3
Graph neural networks (GNNs) are processing architectures that exploit graph structural information to model representations from network data. Despite their success, GNNs suffer f…
Scalable Perception-Action-Communication Loops with Convolutional and Graph Neural Networks
Ting-Kuei Hu, Fernando Gama, Tianlong Chen +4
In this paper, we present a perception-action-communication loop design using Vision-based Graph Aggregation and Inference (VGAI). This multi-agent decentralized learning-to-contro…
Physical-Layer Security via Distributed Beamforming in the Presence of Adversaries with Unknown Locations
Yagiz Savas, Abolfazl Hashemi, Abraham P. Vinod +2
We study the problem of securely communicating a sequence of information bits with a client in the presence of multiple adversaries at unknown locations in the environment. We assu…
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…
HiExpan: Task-Guided Taxonomy Construction by Hierarchical Tree Expansion
Jiaming Shen, Zeqiu Wu, Dongming Lei +5
Taxonomies are of great value to many knowledge-rich applications. As the manual taxonomy curation costs enormous human effects, automatic taxonomy construction is in great demand.…
Nonstationary Nonparametric Online Learning: Balancing Dynamic Regret and Model Parsimony
Amrit Singh Bedi, Alec Koppel, Ketan Rajawat +1
An open challenge in supervised learning is \emph{conceptual drift}: a data point begins as classified according to one label, but over time the notion of that label changes. Beyon…
Optimally Compressed Nonparametric Online Learning
Alec Koppel, Amrit Singh Bedi, Ketan Rajawat +1
Batch training of machine learning models based on neural networks is now well established, whereas to date streaming methods are largely based on linear models. To go beyond linea…