253 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of New HampshireUS40 papers
- University of California, BerkeleyUS27 papers
- Los Alamos National LaboratoryUS20 papers
- Goddard Space Flight CenterUS16 papers
- Thomas Jefferson National Accelerator FacilityUS16 papers
- University of Tennessee at KnoxvilleUS16 papers
- University of VirginiaUS13 papers
- Massachusetts Institute of TechnologyUS12 papers
- Argonne National LaboratoryUS11 papers
- Université Paris-SaclayFR11 papers
- Johns Hopkins University Applied Physics LaboratoryUS10 papers
- Lawrence Berkeley National LaboratoryUS10 papers
10 papers · 1 filter
A Contrastive Learning Approach to Auroral Identification and Classification
Jeremiah W. Johnson, Swathi Hari, Donald Hampton +2
Unsupervised learning algorithms are beginning to achieve accuracies comparable to their supervised counterparts on benchmark computer vision tasks, but their utility for practical…
Predicting the Magnetic Fields of a Stealth CME Detected by Parker Solar Probe at 0.5 AU
Erika Palmerio, Christina Kay, Nada Al-Haddad +5
Stealth coronal mass ejection (CMEs) are eruptions from the Sun that are not associated with appreciable low-coronal signatures. Because they often cannot be linked to a well-defin…
Categorization of Coronal Mass Ejection Driven Sheath Regions: Characteristics of STEREO Events
T. M. Salman, N. Lugaz, R. M. Winslow +3
We present a comprehensive statistical analysis of 106 sheath regions driven by coronal mass ejections (CMEs) and measured near 1 AU. Using data from the STEREO probes, this extend…
Policy Gradient Bayesian Robust Optimization for Imitation Learning
Zaynah Javed, Daniel S. Brown, Satvik Sharma +5
The difficulty in specifying rewards for many real-world problems has led to an increased focus on learning rewards from human feedback, such as demonstrations. However, there are…
Ten Quick Tips for Deep Learning in Biology
Benjamin D. Lee, Anthony Gitter, Casey S. Greene +17
Machine learning is a modern approach to problem-solving and task automation. In particular, machine learning is concerned with the development and applications of algorithms that…
Stability of exact solutions of a nonlocal and nonlinear Schrödinger equation with arbitrary nonlinearity
Efstathios G. Charalampidis, Fred Cooper, Avinash Khare +2
This work focuses on the study of solitary wave solutions to a nonlocal, nonlinear Schrödinger system in + dimensions with arbitrary nonlinearity parameter . Although the…
Measurement of the Nucleon Structure Function Ratio by the Jefferson Lab MARATHON Tritium/Helium-3 Deep Inelastic Scattering Experiment
MARATHON Collaboration, D. Abrams, H. Albataineh +129
The ratio of the nucleon structure functions, , is determined by the MARATHON experiment from measurements of deep inelastic scattering of electrons from H a…
Coronal Hole Detection and Open Magnetic Flux
J. A. Linker, S. G. Heinemann, M. Temmer +14
Many scientists use coronal hole (CH) detections to infer open magnetic flux. Detection techniques differ in the areas that they assign as open, and may obtain different values for…
Interplanetary magnetic flux rope observed at ground level by HAWC
S. Akiyama, R. Alfaro, C. Alvarez +59
We report the ground-level detection of a Galactic Cosmic-Ray (GCR) flux enhancement lasting 17 hr and associated with the passage of a magnetic flux rope (MFR) over the Ear…
Robust Maximum Entropy Behavior Cloning
Mostafa Hussein, Brendan Crowe, Marek Petrik +1
Imitation learning (IL) algorithms use expert demonstrations to learn a specific task. Most of the existing approaches assume that all expert demonstrations are reliable and trustw…