5 citations · 8 across the 5 of their papers we have counts for
5 papers
From Knowledge to Action: Outcomes of the 2025 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry
Aritra Roy, Kevin Shen, Andrew MacBride +350
Large language models (LLMs) are rapidly changing how researchers in materials science and chemistry discover, organize, and act on scientific knowledge. This paper analyzes a broa…
Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry
Yoel Zimmermann, Adib Bazgir, Zartashia Afzal +141
Here, we present the outcomes from the second Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry, which engaged participants across global hyb…
Simplicity in Complexity : Explaining Visual Complexity using Deep Segmentation Models
Tingke Shen, Surabhi S Nath, Aenne Brielmann +1
The complexity of visual stimuli plays an important role in many cognitive phenomena, including attention, engagement, memorability, time perception and aesthetic evaluation. Despi…
Generalized Latent Variable Recovery for Generative Adversarial Networks
Nicholas Egan, Jeffrey Zhang, Kevin Shen
The Generator of a Generative Adversarial Network (GAN) is trained to transform latent vectors drawn from a prior distribution into realistic looking photos. These latent vectors h…
Are You Sure You Want To Do That? Classification with Verification
Harris Chan, Atef Chaudhury, Kevin Shen
Classification systems typically act in isolation, meaning they are required to implicitly memorize the characteristics of all candidate classes in order to classify. The cost of t…