119 citations · 195 across the 18 of their papers we have counts for
18 papers
Critical Percolation as a Synthetic Data Model for Interpretability
Aryeh Brill, Tom Ingebretsen Carlson
Neural networks learn features that reflect the hierarchical, multi-scale structure of natural data. Synthetic datasets used to evaluate interpretability methods typically lack thi…
Towards Worst-Case Guarantees with Scale-Aware Interpretability
Lauren Greenspan, David Berman, Aryeh Brill +9
Neural networks organize information according to the hierarchical, multi-scale structure of natural data. Methods to interpret model internals should be similarly scale-aware, exp…
Representation Learning on a Random Lattice
Aryeh Brill
Decomposing a deep neural network's learned representations into interpretable features could greatly enhance its safety and reliability. To better understand features, we adopt a…
The Fermi-LAT Light Curve Repository: A resource for the time-domain and multi-messenger communities
Janeth Valverde, D. Kocevski, M. Negro +2
For over 15 years the Fermi Large Area Telescope (Fermi-LAT) has been monitoring the entire high-energy gamma-ray sky, providing the best sampled 0.1 -- TeV photons to this da…
A VERITAS/Breakthrough Listen Search for Optical Technosignatures
Atreya Acharyya, Colin Adams, Avery Archer +65
The Breakthrough Listen Initiative is conducting a program using multiple telescopes around the world to search for "technosignatures": artificial transmitters of extraterrestrial…
VERITAS discovery of very high energy gamma-ray emission from S3 1227+25 and multiwavelength observations
Atreya Acharyya, Colin Adams, Avery Archer +68
We report the detection of very high energy gamma-ray emission from the blazar S3 1227+25 (VER J1230+253) with the Very Energetic Radiation Imaging Telescope Array System (VERITAS)…