1 citations · 2 across the 2 of their papers we have counts for
5 papers
Active Causal Learning for Decoding Chemical Complexities with Targeted Interventions
Zachary R. Fox, Ayana Ghosh
Predicting and enhancing inherent properties based on molecular structures is paramount to design tasks in medicine, materials science, and environmental management. Most of the cu…
Transferring a molecular foundation model for polymer property predictions
Pei Zhang, Logan Kearney, Debsindhu Bhowmik +3
Transformer-based large language models have remarkable potential to accelerate design optimization for applications such as drug development and materials discovery. Self-supervis…
Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces
Javier E Santos, Zachary R. Fox, Nicholas Lubbers +1
Typical generative diffusion models rely on a Gaussian diffusion process for training the backward transformations, which can then be used to generate samples from Gaussian noise.…
Extracting Information from Stochastic Trajectories of Gene Expression
Zachary R Fox
Gene expression is a stochastic process in which cells produce biomolecules essential to the function of life. Modern experimental methods allow for the measurement of biomolecules…
Nonspecific transcription factor binding reduces variability in transcription factor and target protein expression
Mohammad Soltani, Pavol Bokes, Zachary Fox +1
Transcription factors (TFs) interact with a multitude of binding sites on DNA and partner proteins inside cells. We investigate how nonspecific binding/unbinding to such decoy bind…