3 papers
stat.ML2025
Optimizing Likelihoods via Mutual Information: Bridging Simulation-Based Inference and Bayesian Optimal Experimental Design
Vincent D. Zaballa, Elliot E. Hui
Simulation-based inference (SBI) is a method to perform inference on a variety of complex scientific models with challenging inference (inverse) problems. Bayesian Optimal Experime…
q-bio.BM2024
Systems-Structure-Based Drug Design
Vincent D. Zaballa, Elliot E. Hui
Recent advances in generative deep learning have transformed small molecule design, but most methods lack biological systems context, focusing narrowly on specific protein pockets.…
q-bio.QM2024
Reducing Uncertainty Through Mutual Information in Structural and Systems Biology
Vincent D. Zaballa, Elliot E. Hui
Systems biology models are useful models of complex biological systems that may require a large amount of experimental data to fit each model's parameters or to approximate a likel…