77 citations · 102 across the 4 of their papers we have counts for
4 papers
Capturing the diversity of biological tuning curves using generative adversarial networks
Takafumi Arakaki, G. Barello, Yashar Ahmadian
Tuning curves characterizing the response selectivities of biological neurons often exhibit large degrees of irregularity and diversity across neurons. Theoretical network models t…
Don't be left in the dark: Improving LHC searches for dark photons using lepton-jet substructure
G. Barello, Spencer Chang, Christopher A. Newby +1
Collider signals of dark photons are an exciting probe for new gauge forces and are characterized by events with boosted lepton jets. Existing techniques are efficient in searching…
Correlated Signals at the Energy and Intensity Frontiers from Nonabelian Kinetic Mixing
G. Barello, Spencer Chang, Christopher A. Newby
We show that when a dark abelian gauge sector and SU kinetically mix it necessarily generates a relation between the kinetic mixing strength and the mass of the mediating…
A Model Independent Approach to Inelastic Dark Matter Scattering
G. Barello, Spencer Chang, Christopher A. Newby
We present a model independent analysis of inelastic dark matter transitions at direct detection experiments by modifying the elastic methodology of Fitzpatrick, et al. By analyzin…