1 citations · 1 across the 7 of their papers we have counts for
7 papers
EHR-MPC: Inference-Time Control for Sepsis Treatment with Generative Patient Digital Twins
Joshua Pickard, Wei Qi, Na Li +4
Sepsis is a leading cause of mortality, yet optimal treatment policies remain contested. Existing reinforcement learning (RL) approaches learn fixed strategies for sepsis treatment…
Data-Driven Tensor Decomposition Identification of Homogeneous Polynomial Dynamical Systems
Xin Mao, Joshua Pickard, Can Chen
Homogeneous polynomial dynamical systems (HPDSs), which can be equivalently represented by tensors, are essential for modeling higher-order networked systems, including ecological…
Structural Controllability of Large-Scale Hypergraphs
Joshua Pickard, Xin Mao, Can Chen
Controlling real-world networked systems, including ecological, biomedical, and engineered networks that exhibit higher-order interactions, remains challenging due to inherent nonl…
HIF: The hypergraph interchange format for higher-order networks
Martín Coll, Cliff A. Joslyn, Nicholas W. Landry +5
Many empirical systems contain complex interactions of arbitrary size, representing, for example, chemical reactions, social groups, co-authorship relationships, and ecological dep…
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…
Structural Controllability of Polysystems via Directed Hypergraph Representation
Joshua Pickard
This document explores structural controllability of polynomial dynamical systems or polysystems. We extend Lin's concept of structural controllability for linear systems, offering…