2 papers
cs.LG2025
Interpretable Causal Representation Learning for Biological Data in the Pathway Space
Jesus de la Fuente, Robert Lehmann, Carlos Ruiz-Arenas +8
Predicting the impact of genomic and drug perturbations in cellular function is crucial for understanding gene functions and drug effects, ultimately leading to improved therapies.…
q-bio.QM2023
IHCV: Discovery of Hidden Time-Dependent Control Variables in Non-Linear Dynamical Systems
Juan Munoz, Subash Balsamy, Juan P. Bernal-Tamayo +6
Discovering non-linear dynamical models from data is at the core of science. Recent progress hinges upon sparse regression of observables using extensive libraries of candidate fun…