4 papers
Bayesian Neural Decoding Using A Diversity-Encouraging Latent Representation Learning Method
Tian Chen, Lingge Li, Gabriel Elias +2
It is well established that temporal organization is critical to memory, and that the ability to temporally organize information is fundamental to many perceptual, cognitive, and m…
Modeling Dynamic Functional Connectivity with Latent Factor Gaussian Processes
Lingge Li, Dustin Pluta, Babak Shahbaba +3
Dynamic functional connectivity, as measured by the time-varying covariance of neurological signals, is believed to play an important role in many aspects of cognition. While many…
Gaussian Process Accelerated Feldman-Cousins Approach for Physical Parameter Inference
Lingge Li, Nitish Nayak, Jianming Bian +1
The unified approach of Feldman and Cousins allows for exact statistical inference of small signals that commonly arise in high energy physics. It has gained widespread use, for in…
Improved Energy Reconstruction in NOvA with Regression Convolutional Neural Networks
Pierre Baldi, Jianming Bian, Lars Hertel +1
In neutrino experiments, neutrino energy reconstruction is crucial because neutrino oscillations and differential cross-sections are functions of neutrino energy. It is also challe…