Margossian, Charles

8 publications

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

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

ICML 2024 Batch and Match: Black-Box Variational Inference with a Score-Based Divergence Diana Cai, Chirag Modi, Loucas Pillaud-Vivien, Charles Margossian, Robert M. Gower, David Blei, Lawrence K. Saul

ICMLW 2024 EigenVI: Score-Based Variational Inference with Orthogonal Function Expansions Diana Cai, Chirag Modi, Charles Margossian, Robert M. Gower, David 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

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

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

NeurIPS 2020 Hamiltonian Monte Carlo Using an Adjoint-Differentiated Laplace Approximation: Bayesian Inference for Latent Gaussian Models and Beyond Charles Margossian, Aki Vehtari, Daniel Simpson, Raj Agrawal