activity
20162025
most citedThe Strong Gravitational Lens Finding Challenge

154 citations · 233 across the 9 of their papers we have counts for

collaborators

10 papers

cs.AR2025

hls4ml: A Flexible, Open-Source Platform for Deep Learning Acceleration on Reconfigurable Hardware

Jan-Frederik Schulte, Benjamin Ramhorst, Chang Sun +50

We present hls4ml, a free and open-source platform that translates machine learning (ML) models from modern deep learning frameworks into high-level synthesis (HLS) code that can b…

physics.ins-det2025

Robustness of the \textit{smartpixels} classifier for different simulated sensor geometries and non-ideal detector conditions

Danush Shekar, Ben Weiss, Morris Swartz +40

Pixel tracking detectors at upcoming collider experiments will see unprecedented charged-particle densities. Real-time data reduction on the detector will enable higher granularity…

physics.ins-det2024

Smart Pixels: In-pixel AI for on-sensor data filtering

Benjamin Parpillon, Chinar Syal, Jieun Yoo +16

We present a smart pixel prototype readout integrated circuit (ROIC) designed in CMOS 28 nm bulk process, with in-pixel implementation of an artificial intelligence (AI) / machine…

hep-ex2023

Smartpixels: Towards on-sensor inference of charged particle track parameters and uncertainties

Jennet Dickinson, Rachel Kovach-Fuentes, Lindsey Gray +20

The combinatorics of track seeding has long been a computational bottleneck for triggering and offline computing in High Energy Physics (HEP), and remains so for the HL-LHC. Next-g…

physics.ins-det2023

A Cryogenic Readout IC with 100 KSPS in-Pixel ADC for Skipper CCD-in-CMOS Sensors

Adam Quinn, Manuel B. Valentin, Thomas Zimmerman +3

The Skipper CCD-in-CMOS Parallel Read-Out Circuit (SPROCKET) is a mixed-signal front-end design for the readout of Skipper CCD-in-CMOS image sensors. SPROCKET is fabricated in a 65…

astro-ph.GA2022★ 9 cited

Developing a Victorious Strategy to the Second Strong Gravitational Lensing Data Challenge

C. R. Bom, B. M. O. Fraga, L. O. Dias +7

Strong Lensing is a powerful probe of the matter distribution in galaxies and clusters and a relevant tool for cosmography. Analyses of strong gravitational lenses with Deep Learni…

physics.ins-det2021★ 56 cited

A reconfigurable neural network ASIC for detector front-end data compression at the HL-LHC

Giuseppe Di Guglielmo, Farah Fahim, Christian Herwig +15

Despite advances in the programmable logic capabilities of modern trigger systems, a significant bottleneck remains in the amount of data to be transported from the detector to off…

cs.LG2021★ 8 cited

hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices

Farah Fahim, Benjamin Hawks, Christian Herwig +27

Accessible machine learning algorithms, software, and diagnostic tools for energy-efficient devices and systems are extremely valuable across a broad range of application domains.…

astro-ph.GA2018★ 154 cited

The Strong Gravitational Lens Finding Challenge

R. Benton Metcalf, M. Meneghetti, Camille Avestruz +33

Large scale imaging surveys will increase the number of galaxy-scale strong lensing candidates by maybe three orders of magnitudes beyond the number known today. Finding these rare…

cs.CV2016★ 6 cited

On a method for Rock Classification using Textural Features and Genetic Optimization

Manuel Blanco Valentin, Clecio Roque De Bom, Marcio Portes de Albuquerque +4

In this work we present a method to classify a set of rock textures based on a Spectral Analysis and the extraction of the texture Features of the resulted images. Up to 520 featur…