13 citations · 16 across the 8 of their papers we have counts for
9 papers
Language Model Powered Digital Biology with BRAD
Joshua Pickard, Ram Prakash, Marc Andrew Choi +6
Recent advancements in Large Language Models (LLMs) are transforming biology, computer science, engineering, and every day life. However, integrating the wide array of computationa…
Geometric Aspects of Observability of Hypergraphs
Joshua Pickard, Cooper Stansbury, Amit Surana +2
In this paper we consider aspects of geometric observability for hypergraphs, extending our earlier work from the uniform to the nonuniform case. Hypergraphs, a generalization of g…
Kronecker Product of Tensors and Hypergraphs: Structure and Dynamics
Joshua Pickard, Can Chen, Cooper Stansbury +3
Hypergraphs and tensors extend classic graph and matrix theory to account for multiway relationships, which are ubiquitous in engineering, biological, and social systems. While the…
Hypergraph Analysis Toolbox for Chromosome Conformation
Joshua Pickard, Can Chen, Rahmy Salman +5
Recent advances in biological technologies, such as multi-way chromosome conformation capture (3C), require development of methods for analysis of multi-way interactions. Hypergrap…
Expressing and Executing Informed Consent Permissions Using SWRL: The All of Us Use Case
Muhammad Amith, Marcelline R. Harris, Cooper Stansbury +3
The informed consent process is a complicated procedure involving permissions as well a variety of entities and actions. In this paper, we discuss the use of Semantic Web Rule Lang…
RAILS: A Robust Adversarial Immune-inspired Learning System
Ren Wang, Tianqi Chen, Stephen Lindsly +4
Adversarial attacks against deep neural networks (DNNs) are continuously evolving, requiring increasingly powerful defense strategies. We develop a novel adversarial defense framew…
Immuno-mimetic Deep Neural Networks (Immuno-Net)
Ren Wang, Tianqi Chen, Stephen Lindsly +3
Biomimetics has played a key role in the evolution of artificial neural networks. Thus far, in silico metaphors have been dominated by concepts from neuroscience and cognitive psyc…
RAILS: A Robust Adversarial Immune-inspired Learning System
Ren Wang, Tianqi Chen, Stephen Lindsly +3
Adversarial attacks against deep neural networks are continuously evolving. Without effective defenses, they can lead to catastrophic failure. The long-standing and arguably most p…
Understanding Memory B Cell Selection
Stephen Lindsly, Maya Gupta, Cooper Stansbury +1
The mammalian adaptive immune system has evolved over millions of years to become an incredibly effective defense against foreign antigens. The adaptive immune system's humoral res…