activity
20172020
most citedDeep Underground Neutrino Experiment (DUNE), Far Detector Technical Design Report, Volume II: DUNE Physics

77 citations · 149 across the 7 of their papers we have counts for

collaborators

8 papers

hep-ex2020★ 77 cited

Deep Underground Neutrino Experiment (DUNE), Far Detector Technical Design Report, Volume II: DUNE Physics

B. Abi, R. Acciarri, Mario A. Acero +958

The preponderance of matter over antimatter in the early universe, the dynamics of the supernovae that produced the heavy elements necessary for life, and whether protons eventuall…

physics.ins-det2020★ 10 cited

Deep Underground Neutrino Experiment (DUNE), Far Detector Technical Design Report, Volume III: DUNE Far Detector Technical Coordination

B. Abi, R. Acciarri, Mario A. Acero +958

The preponderance of matter over antimatter in the early universe, the dynamics of the supernovae that produced the heavy elements necessary for life, and whether protons eventuall…

physics.ins-det2020

Deep Underground Neutrino Experiment (DUNE), Far Detector Technical Design Report, Volume I: Introduction to DUNE

B. Abi, R. Acciarri, Mario A. Acero +958

The preponderance of matter over antimatter in the early universe, the dynamics of the supernovae that produced the heavy elements necessary for life, and whether protons eventuall…

stat.ML2019

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…

stat.ME2019★ 5 cited

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…

physics.data-an2018★ 9 cited

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…