3 papers
stat.AP2026
Gradient-free ensemble transform methods for generalized Bayesian inference in generative models
Diksha Bhandari, Sebastian Reich
Bayesian inference in complex generative models is often obstructed by the absence of tractable likelihoods and the infeasibility of computing gradients of high-dimensional simulat…
cs.CL2025
Ensemble Kalman filter for uncertainty in human language comprehension
Diksha Bhandari, Alessandro Lopopolo, Milena Rabovsky +1
Artificial neural networks (ANNs) are widely used in modeling sentence processing but often exhibit deterministic behavior, contrasting with human sentence comprehension, which man…
stat.ML2024
Affine Invariant Ensemble Transform Methods to Improve Predictive Uncertainty in Neural Networks
Diksha Bhandari, Jakiw Pidstrigach, Sebastian Reich
We consider the problem of performing Bayesian inference for logistic regression using appropriate extensions of the ensemble Kalman filter. Two interacting particle systems are pr…