2 papers
stat.ML2026
Bayesian Uncertainty Quantification for fMRI Functional Connectivity via Simulation-Based Inference
Simon Carter, Zeming Kuang, Lilianne R. Mujica-Parodi +1
Optimizing fMRI scan duration and spatial resolution is critical for experimental design, yet traditional correlation-based approaches cannot quantify uncertainty or disentangle sc…
cs.LG2025
Scientific Machine Learning of Chaotic Systems Learns Reduced-Order Equations for Neural Populations
Anthony G. Chesebro, David Hofmann, Vaibhav Dixit +6
Extracting interpretable mathematical models from complex dynamical systems is difficult, especially for chaotic dynamics observed with noisy experimental data. We present PEM-UDE,…