A review of automatic differentiation and its efficient implementation. - Charles C. Margossian (WIREs Data Mining Knowl. Discov., 2019)

Hamiltonian Monte Carlo using an adjoint-differentiated Laplace approximation: Bayesian inference for latent Gaussian models and beyond. - Charles C. Margossian; Aki Vehtari; Daniel Simpson; Raj Agrawal (NeurIPS, 2020)

Adaptive Tuning for Metropolis Adjusted Langevin Trajectories. - Lionel Riou-Durand; Pavel Sountsov; Jure Vogrinc; Charles Margossian; Sam Power (AISTATS, 2023)

Variational Inference with Gaussian Score Matching. - Chirag Modi 002; Robert M. Gower; Charles Margossian; Yuling Yao; David M. Blei; Lawrence K. Saul (NeurIPS, 2023)

The Shrinkage-Delinkage Trade-off: an Analysis of Factorized Gaussian Approximations for Variational Inference. - Charles C. Margossian; Lawrence K. Saul (UAI, 2023)

Batch and match: black-box variational inference with a score-based divergence. - Diana Cai; Chirag Modi 002; Loucas Pillaud-Vivien; Charles Margossian; Robert M. Gower; David M. Blei; Lawrence K. Saul (ICML, 2024)

Listening to the noise: Blind Denoising with Gibbs Diffusion. - David Heurtel-Depeiges; Charles Margossian; Ruben Ohana; Bruno Régaldo-Saint Blancard (ICML, 2024)

EigenVI: score-based variational inference with orthogonal function expansions. - Diana Cai; Chirag Modi 002; Charles Margossian; Robert M. Gower; David M. Blei; Lawrence K. Saul (NeurIPS, 2024)

Amortized Variational Inference: When and Why? - Charles C. Margossian; David M. Blei (UAI, 2024)

An Ordering of Divergences for Variational Inference with Factorized Gaussian Approximations. - Charles C. Margossian; Loucas Pillaud-Vivien; Lawrence K. Saul (CoRR, 2024)

Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix. - Charles Margossian; Lawrence K. Saul (AISTATS, 2025)

CosmoBench: A Multiscale, Multiview, Multitask Cosmology Benchmark for Geometric Deep Learning. - Ningyuan Huang; Richard Stiskalek; Jun-Young Lee; Adrian E. Bayer; Charles C. Margossian; Christian Kragh Jespersen; Lucia A. Perez; Lawrence K. Saul; Francisco Villaescusa-Navarro (CoRR, 2025)