most citedMonarchNet: Differentiating Monarch Butterflies from Butterflies Species with Similar Phenotypes

4 citations · 6 across the 5 of their papers we have counts for

collaborators

7 papers

hep-ex20221 cited

Snowmass Early Career

Garvita Agarwal, Joshua L. Barrow, Mateus F. Carneiro +16

The Snowmass 2021 strategic planning process provided an essential opportunity for the United States high energy physics and astroparticle (HEPA) community to come together and dis…

hep-ex2022

Snowmass 2021 Dark Matter Complementarity Report

Antonio Boveia, Mohamed Berkat, Thomas Y. Chen +24

The fundamental nature of Dark Matter is a central theme of the Snowmass 2021 process, extending across all Frontiers. In the last decade, advances in detector technology, analysis…

hep-ex20221 cited

Fundamental Physics in Small Experiments

T. Blum, P. Winter, T. Bhattacharya +10

High energy physics aims to understand the fundamental laws of particles and their interactions at both the largest and smallest scales of the universe. This typically means probin…

hep-ph2022

Report of the Topical Group on Physics Beyond the Standard Model at Energy Frontier for Snowmass 2021

Tulika Bose, Antonio Boveia, Caterina Doglioni +318

This is the Snowmass2021 Energy Frontier (EF) Beyond the Standard Model (BSM) report. It combines the EF topical group reports of EF08 (Model-specific explorations), EF09 (More gen…

cs.CY2022

PreDefense: Defending Underserved AI Students and Researchers from Predatory Conferences

Thomas Y. Chen

Mentorship in the AI community is crucial to maintaining and increasing diversity, especially with respect to fostering the academic growth of underserved students. While the resea…

cs.CV20224 cited

MonarchNet: Differentiating Monarch Butterflies from Butterflies Species with Similar Phenotypes

Thomas Y. Chen

In recent years, the monarch butterfly's iconic migration patterns have come under threat from a number of factors, from climate change to pesticide use. To track trends in their p…