56 citations · 61 across the 15 of their papers we have counts for
5 papers · 1 filter
Physics-Informed Learning for Robust Acoustic Localization with Calibrated Uncertainty
Jennifer N. Kampe, Changwoo J. Lee, Xin Shen +5
Recent advances in Passive Acoustic Monitoring (PAM) offer an opportunity to obtain ecological spatial point-process data at unprecedented scale. However, realizing this opportunit…
Spectral Gap Regularization of Neural Networks
Edric Tam, David Dunson
We introduce Fiedler regularization, a novel approach for regularizing neural networks that utilizes spectral/graphical information. Existing regularization methods often focus on…
Hierarchical shrinkage Gaussian processes: applications to computer code emulation and dynamical system recovery
Tao Tang, Simon Mak, David Dunson
In many areas of science and engineering, computer simulations are widely used as proxies for physical experiments, which can be infeasible or unethical. Such simulations can often…
Estimating a Brain Network Predictive of Stress and Genotype with Supervised Autoencoders
Austin Talbot, David Dunson, Kafui Dzirasa +1
Targeted stimulation of the brain has the potential to treat mental illnesses. We propose an approach to help design the stimulation protocol by identifying electrical dynamics acr…
PiPs: a Kernel-based Optimization Scheme for Analyzing Non-Stationary 1D Signals
Jieren Xu, Yitong Li, Haizhao Yang +2
This paper proposes a novel kernel-based optimization scheme to handle tasks in the analysis, e.g., signal spectral estimation and single-channel source separation of 1D non-statio…