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08/30/2023
Octonion Phase Retrieval
Signal processing over hypercomplex numbers arises in many optical imagi...
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06/09/2023
Ada-NAV: Adaptive Trajectory-Based Sample Efficient Policy Learning for Robotic Navigation
Reinforcement learning methods, while effective for learning robotic nav...
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03/23/2023
Multi-Antenna Dual-Blind Deconvolution for Joint Radar-Communications via SoMAN Minimization
Joint radar-communications (JRC) has emerged as a promising technology f...
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01/28/2023
Beyond Exponentially Fast Mixing in Average-Reward Reinforcement Learning via Multi-Level Monte Carlo Actor-Critic
Many existing reinforcement learning (RL) methods employ stochastic grad...
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12/08/2022
LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models
This study focuses on embodied agents that can follow natural language i...
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11/16/2022
Beurling-Selberg Extremization for Dual-Blind Deconvolution Recovery in Joint Radar-Communications
Recent interest in integrated sensing and communications has led to the ...
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11/13/2022
Identifying Coordination in a Cognitive Radar Network – A Multi-Objective Inverse Reinforcement Learning Approach
Consider a target being tracked by a cognitive radar network. If the tar...
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09/24/2022
Communication-Efficient Federated Learning Using Censored Heavy Ball Descent
Distributed machine learning enables scalability and computational offlo...
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08/18/2022
Quickest Detection for Human-Sensor Systems using Quantum Decision Theory
In mathematical psychology, recent models for human decision-making use ...
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08/08/2022
Dual-Blind Deconvolution for Overlaid Radar-Communications Systems
The increasingly crowded spectrum has spurred the design of joint radar-...
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06/22/2022
: Calibrating Global and Local Models via Federated Learning Beyond Consensus
In federated learning (FL), the objective of collaboratively learning a ...
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06/10/2022
Multi-dimensional dual-blind deconvolution approach toward joint radar-communications
We consider a joint multiple-antenna radar-communications system in a co...
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06/02/2022
Deceptive Planning for Resource Allocation
We consider a team of autonomous agents that navigate in an adversarial ...
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06/02/2022
Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning
In this work, we propose a novel Kernelized Stein Discrepancy-based Post...
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02/14/2022
One Step at a Time: Long-Horizon Vision-and-Language Navigation with Milestones
We study the problem of developing autonomous agents that can follow hum...
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02/05/2022
Communication Efficient Federated Learning via Ordered ADMM in a Fully Decentralized Setting
The challenge of communication-efficient distributed optimization has at...
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02/05/2022
Distributed Learning With Sparsified Gradient Differences
A very large number of communications are typically required to solve di...
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01/27/2022
Phase Retrieval for Radar Waveform Design
The ability of a radar to discriminate in both range and Doppler velocit...
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11/26/2021
Non-Convex Recovery from Phaseless Low-Resolution Blind Deconvolution Measurements using Noisy Masked Patterns
This paper addresses recovery of a kernel h∈ℂ^n and a signal x∈ℂ^n from ...
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11/11/2021
Unique Bispectrum Inversion for Signals with Finite Spectral/Temporal Support
Retrieving a signal from the Fourier transform of its third-order statis...
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11/11/2021
Joint Radar-Communications Processing from a Dual-Blind Deconvolution Perspective
We consider a general spectral coexistence scenario, wherein the channel...
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09/25/2021
Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems
Robustness is key to engineering, automation, and science as a whole. Ho...
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06/24/2021
Scalable Perception-Action-Communication Loops with Convolutional and Graph Neural Networks
In this paper, we present a perception-action-communication loop design ...
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06/05/2021
Training Robust Graph Neural Networks with Topology Adaptive Edge Dropping
Graph neural networks (GNNs) are processing architectures that exploit g...
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12/17/2020
Secrecy of Multi-Antenna Transmission with Full-Duplex User in the Presence of Randomly Located Eavesdroppers
This paper considers the secrecy performance of several schemes for mult...
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03/27/2020
Distributed Beamforming for Agents with Localization Errors
We consider a scenario in which a group of agents aim to collectively tr...
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02/06/2020
VGAI: A Vision-Based Decentralized Controller Learning Framework for Robot Swarms
Despite the popularity of decentralized controller learning, very few su...
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10/17/2019
HiExpan: Task-Guided Taxonomy Construction by Hierarchical Tree Expansion
Taxonomies are of great value to many knowledge-rich applications. As th...
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09/25/2019
Optimally Compressed Nonparametric Online Learning
Batch training of machine learning models based on neural networks is no...
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09/23/2019
Approximate Shannon Sampling in Importance Sampling: Nearly Consistent Finite Particle Estimates
In Bayesian inference, we seek to compute information about random varia...
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09/12/2019
Nonstationary Nonparametric Online Learning: Balancing Dynamic Regret and Model Parsimony
An open challenge in supervised learning is conceptual drift: a data poi...
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08/17/2018