4 citations · 7 across the 9 of their papers we have counts for
9 papers
Learning Material-Aware Hamiltonian Risk Fields for Safe Navigation
Aditya Sai Ellendula, Yi Wang, Chandrajit Bajaj
Risk-aware navigation should be selective: a policy should expose evasive degrees of freedom only when the local scene admits a lower-risk feasible maneuver, and suppress them when…
When Descent Is Too Stable: Event-Triggered Hamiltonian Learning to Optimize
Yi Wang, Chandrajit Bajaj
Fixed-budget nonconvex optimization can fail not because local descent is unstable, but because it is too stable: after reaching a nearby stationary point, an optimizer may spend t…
GRL-SNAM: Geometric Reinforcement Learning with Path Differential Hamiltonians for Simultaneous Navigation and Mapping in Unknown Environments
Aditya Sai Ellendula, Yi Wang, Minh Nguyen +1
We present GRL-SNAM, a geometric reinforcement learning framework for Simultaneous Navigation and Mapping(SNAM) in unknown environments. A SNAM problem is challenging as it needs t…
Learning Generalized Hamiltonian Dynamics with Stability from Noisy Trajectory Data
Luke McLennan, Yi Wang, Ryan Farell +2
We introduce a robust framework for learning various generalized Hamiltonian dynamics from noisy, sparse phase-space data and in an unsupervised manner based on variational Bayesia…
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…
Reinforcement Learning of Self Enhancing Camera Image and Signal Processing
Chandrajit Bajaj, Yi Wang, Yunhao Yang
Current camera image and signal processing pipelines (ISPs), including deep-trained versions, tend to apply a single filter that is uniformly applied to the entire image. This is d…
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…
Deep Contrastive Patch-Based Subspace Learning for Camera Image Signal Processing
Yunhao Yang, Yi Wang, Chandrajit Bajaj
Camera Image Signal Processing (ISP) pipelines can get appealing results in different image signal processing tasks. Nonetheless, the majority of these methods, including those emp…
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…