5 papers
Strategies of cooperation and defection in five large language models
Saptarshi Pal, Abhishek Mallela, Christian Hilbe +5
Large language models (LLMs) are increasingly deployed to support human decision-making. This use of LLMs has concerning implications, especially when their prescriptions affect th…
Using PyBioNetFit to Leverage Qualitative and Quantitative Data in Biological Model Parameterization and Uncertainty Quantification
Ely F. Miller, Abhishek Mallela, Jacob Neumann +3
Data generated in studies of cellular regulatory systems are often qualitative. For example, measurements of signaling readouts in the presence and absence of mutations may reveal…
Implementation of a practical Markov chain Monte Carlo sampling algorithm in PyBioNetFit
Jacob Neumann, Yen Ting Lin, Abhishek Mallela +6
Bayesian inference in biological modeling commonly relies on Markov chain Monte Carlo (MCMC) sampling of a multidimensional and non-Gaussian posterior distribution that is not anal…
The Role of Stochasticity in Noise-Induced Tipping Point Cascades: A Master Equation Approach
Abhishek Mallela, Alan Hastings
Tipping points have been shown to be ubiquitous, both in models and empirically in a range of physical and biological systems. The question of how tipping points cascade through sy…
Daily Forecasting of New Cases for Regional Epidemics of Coronavirus Disease 2019 with Bayesian Uncertainty Quantification
Yen Ting Lin, Jacob Neumann, Ely Miller +7
To increase situational awareness and support evidence-based policy-making, we formulated two types of mathematical models for COVID-19 transmission within a regional population. O…