1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.LG2022
A Particle-based Sparse Gaussian Process Optimizer
Chandrajit Bajaj, Omatharv Bharat Vaidya, Yi Wang
Task learning in neural networks typically requires finding a globally optimal minimizer to a loss function objective. Conventional designs of swarm based optimization methods appl…
cs.CV2021★ 1 cited
Learning Transferable 3D Adversarial Cloaks for Deep Trained Detectors
Arman Maesumi, Mingkang Zhu, Yi Wang +3
This paper presents a novel patch-based adversarial attack pipeline that trains adversarial patches on 3D human meshes. We sample triangular faces on a reference human mesh, and cr…
math.NA2019
SketchyCoreSVD: SketchySVD from Random Subsampling of the Data Matrix
Chandrajit Bajaj, Yi Wang, Tianming Wang
We present a method called SketchyCoreSVD to compute the near-optimal rank r SVD of a data matrix by building random sketches only from its subsampled columns and rows. We provide…