3 papers
Surrogate modeling of Cellular-Potts Agent-Based Models as a segmentation task using the U-Net neural network architecture
Tien Comlekoglu, J. Quetzalcóatl Toledo-MarÃn, Tina Comlekoglu +4
The Cellular-Potts model is a powerful and ubiquitous framework for developing computational models for simulating complex multicellular biological systems. Cellular-Potts models (…
Generative diffusion model surrogates for mechanistic agent-based biological models
Tien Comlekoglu, J. Quetzalcoatl Toledo-MarÃn, Douglas W. DeSimone +3
Mechanistic, multicellular, agent-based models are commonly used to investigate tissue, organ, and organism-scale biology at single-cell resolution. The Cellular-Potts Model (CPM)…
Exploring the Energy Landscape of RBMs: Reciprocal Space Insights into Bosons, Hierarchical Learning and Symmetry Breaking
J. Quetzalcóatl Toledo-Marin, Anindita Maiti, Geoffrey C. Fox +1
Deep generative models have become ubiquitous due to their ability to learn and sample from complex distributions. Despite the proliferation of various frameworks, the relationship…