activity
20172022
most citedAsynchronous Multi Agent Active Search

3 citations · 3 across the 4 of their papers we have counts for

collaborators

12 papers

cs.LG2022

Cost Aware Asynchronous Multi-Agent Active Search

Arundhati Banerjee, Ramina Ghods, Jeff Schneider

Multi-agent active search requires autonomous agents to choose sensing actions that efficiently locate targets. In a realistic setting, agents also must consider the costs that the…

cs.RO2020

Multi-Agent Active Search using Realistic Depth-Aware Noise Model

Ramina Ghods, William J. Durkin, Jeff Schneider

The active search for objects of interest in an unknown environment has many robotics applications including search and rescue, detecting gas leaks or locating animal poachers. Exi…

cs.LG20203 cited

Asynchronous Multi Agent Active Search

Ramina Ghods, Arundhati Banerjee, Jeff Schneider

Active search refers to the problem of efficiently locating targets in an unknown environment by actively making data-collection decisions, and has many applications including dete…

cs.IT2020

Sparsity-Adaptive Beamspace Channel Estimation for 1-Bit mmWave Massive MIMO Systems

Alexandra Gallyas-Sanhueza, Seyed Hadi Mirfarshbafan, Ramina Ghods +1

We propose sparsity-adaptive beamspace channel estimation algorithms that improve accuracy for 1-bit data converters in all-digital millimeter-wave (mmWave) massive multiple-input…

cs.LG2020

MSE-Optimal Neural Network Initialization via Layer Fusion

Ramina Ghods, Andrew S. Lan, Tom Goldstein +1

Deep neural networks achieve state-of-the-art performance for a range of classification and inference tasks. However, the use of stochastic gradient descent combined with the nonco…

eess.SP2019

Reducing the Complexity of Fingerprinting-Based Positioning using Locality-Sensitive Hashing

Larry Tang, Ramina Ghods, Christoph Studer

Localization of wireless transmitters based on channel state information (CSI) fingerprinting finds widespread use in indoor as well as outdoor scenarios. Fingerprinting localizati…