806 citations · 7.4k across the 169 of their papers we have counts for
181 papers
Topology Identification and Inference over Graphs
Gonzalo Mateos, Yanning Shen, Georgios B. Giannakis +1
Topology identification and inference of processes evolving over graphs arise in timely applications involving brain, transportation, financial, power, as well as social and inform…
Learning From Crowdsourced Noisy Labels: A Signal Processing Perspective
Shahana Ibrahim, Panagiotis A. Traganitis, Xiao Fu +1
One of the primary catalysts fueling advances in artificial intelligence (AI) and machine learning (ML) is the availability of massive, curated datasets. A commonly used technique…
Meta-Learning with Versatile Loss Geometries for Fast Adaptation Using Mirror Descent
Yilang Zhang, Bingcong Li, Georgios B. Giannakis
Utilizing task-invariant prior knowledge extracted from related tasks, meta-learning is a principled framework that empowers learning a new task especially when data records are li…
Contractive error feedback for gradient compression
Bingcong Li, Shuai Zheng, Parameswaran Raman +2
On-device memory concerns in distributed deep learning have become severe due to (i) the growth of model size in multi-GPU training, and (ii) the wide adoption of deep neural netwo…
3D Reconstruction in Noisy Agricultural Environments: A Bayesian Optimization Perspective for View Planning
Athanasios Bacharis, Konstantinos D. Polyzos, Henry J. Nelson +2
3D reconstruction is a fundamental task in robotics that gained attention due to its major impact in a wide variety of practical settings, including agriculture, underwater, and ur…
Enhancing Sharpness-Aware Optimization Through Variance Suppression
Bingcong Li, Georgios B. Giannakis
Sharpness-aware minimization (SAM) has well documented merits in enhancing generalization of deep neural networks, even without sizable data augmentation. Embracing the geometry of…