1 citations · 1 across the 6 of their papers we have counts for
7 papers
The Community Archive: An Ethically Sourced X (Twitter) Dataset
Brandon Duderstadt, Omar Shehata, Ivan Vendrov +1
We present The Community Archive, a novel dataset of over 5 million posts from the social media site X (previously known as Twitter). In contrast with other large scale social medi…
Control Charts for Multi-agent Systems
Hayden Helm, Carey Priebe, Brandon Duderstadt
Generative agents have proven to be powerful assistants in a wide variety of contexts. Given this success, users are now deploying agents with minimal restrictions in open ended, m…
Toward a digital twin of U.S. Congress
Hayden Helm, Tianyi Chen, Harvey McGuinness +3
In this paper we provide evidence that a virtual model of U.S. congresspersons based on a collection of language models satisfies the definition of a digital twin. In particular, w…
Statistical inference on black-box generative models in the data kernel perspective space
Hayden Helm, Aranyak Acharyya, Brandon Duderstadt +2
Generative models are capable of producing human-expert level content across a variety of topics and domains. As the impact of generative models grows, it is necessary to develop s…
Comparing Foundation Models using Data Kernels
Brandon Duderstadt, Hayden S. Helm, Carey E. Priebe
Recent advances in self-supervised learning and neural network scaling have enabled the creation of large models, known as foundation models, which can be easily adapted to a wide…
A partition-based similarity for classification distributions
Hayden S. Helm, Ronak D. Mehta, Brandon Duderstadt +5
Herein we define a measure of similarity between classification distributions that is both principled from the perspective of statistical pattern recognition and useful from the pe…
NeuroStorm: Accelerating Brain Science Discovery in the Cloud
Gregory Kiar, Robert J. Anderson, Alex Baden +24
Neuroscientists are now able to acquire data at staggering rates across spatiotemporal scales. However, our ability to capitalize on existing datasets, tools, and intellectual capa…