The effect of ambiguous prior knowledge on Bayesian model parameter inference and prediction. - Simon L. Rinderknecht; Carlo Albert; Mark E. Borsuk; Nele Schuwirth; Hans R. Künsch; Peter Reichert (Environ. Model. Softw., 2014)

A Simulated Annealing Approach to Bayesian Inference. - Carlo Albert (CoRR, 2015)

Bayesian Parameter Inference for 1D Nonlinear Stochastic Differential Equation Models. - Carlo Albert; Simone Ulzega (CoRR, 2015)

Model bias and complexity - Understanding the effects of structural deficits and input errors on runoff predictions. - Dario Del Giudice; Peter Reichert; Vojtech Bares; Carlo Albert; Jörg Rieckermann (Environ. Model. Softw., 2015)

A simulated annealing approach to approximate Bayes computations. - Carlo Albert; Hans R. Künsch; Andreas Scheidegger (Stat. Comput., 2015)

Appraisal of data-driven and mechanistic emulators of nonlinear hydrodynamic urban drainage simulators. - Juan Pablo Carbajal; João Paulo Leitão; Carlo Albert; Jörg Rieckermann (CoRR, 2016)

Fast mechanism-based emulator of a slow urban hydrodynamic drainage simulator. - David Machac; Peter Reichert; Jörg Rieckermann; Carlo Albert (Environ. Model. Softw., 2016)

Emulation of dynamic simulators with application to hydrology. - David Machac; Peter Reichert; Carlo Albert (J. Comput. Phys., 2016)

Computationally Efficient Implementation of a Novel Algorithm for the General Unified Threshold Model of Survival (GUTS). - Carlo Albert; Sören Vogel; Roman Ashauer (PLoS Comput. Biol., 2016)

Appraisal of data-driven and mechanistic emulators of nonlinear simulators: The case of hydrodynamic urban drainage models. - Juan Pablo Carbajal; João Paulo Leitão; Carlo Albert; Jörg Rieckermann (Environ. Model. Softw., 2017)

Accelerating Bayesian inference in hydrological modeling with a mechanistic emulator. - David Machac; Peter Reichert; Jörg Rieckermann; Dario Del Giudice; Carlo Albert (Environ. Model. Softw., 2018)

Learning Summary Statistics for Bayesian Inference with Autoencoders. - Carlo Albert; Simone Ulzega; Firat Ozdemir; Fernando Pérez-Cruz; Antonietta Mira (CoRR, 2022)

Simulation-based inference using surjective sequential neural likelihood estimation. - Simon Dirmeier; Carlo Albert; Fernando Pérez-Cruz (CoRR, 2023)

Simulation-based inference with the Python Package sbijax. - Simon Dirmeier; Simone Ulzega; Antonietta Mira; Carlo Albert (CoRR, 2024)

Simulation-based Inference for High-dimensional Data using Surjective Sequential Neural Likelihood Estimation. - Simon Dirmeier; Carlo Albert; Fernando Pérez-Cruz (UAI, 2025)

When the Left Foot Leads to the Right Path: Bridging Initial Prejudice and Trainability. - Alberto Bassi; Carlo Albert; Aurélien Lucchi; Marco Baity-Jesi; Emanuele Francazi (CoRR, 2025)