Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling. - Lucas Berry; David Meger (AAAI, 2023)

Escaping the Sample Trap: Fast and Accurate Epistemic Uncertainty Estimation with Pairwise-Distance Estimators. - Lucas Berry; David Meger (CoRR, 2023)

Uncertainty-aware hybrid paradigm of nonlinear MPC and model-based RL for offroad navigation: Exploration of transformers in the predictive model. - Faraz Lotfi; Khalil Virji; Farnoosh Faraji; Lucas Berry; Andrew Holliday; David Meger; Gregory Dudek (ICRA, 2024)

Shedding Light on Large Generative Networks: Estimating Epistemic Uncertainty in Diffusion Models. - Lucas Berry; Axel Brando; David Meger (UAI, 2024)

Seeing the Unseen: How EMoE Unveils Bias in Text-to-Image Diffusion Models. - Lucas Berry; Axel Brando; Wei-Di Chang; Juan Camilo Gamboa Higuera; David Meger (CoRR, 2025)