publications

2026

1. UAI

   Simplex-to-Euclidean Bijection for Conjugate and Calibrated Multiclass Gaussian Process

   Bernardo Williams, Harsha Vardhan Tetali, Arto Klami, and 1 more author

   In The 42nd Conference on Uncertainty in Artificial Intelligence, 2026

   arXiv Bib

   @inproceedings{williams2026simplexgp,
     title = {Simplex-to-Euclidean Bijection for Conjugate and Calibrated Multiclass Gaussian Process},
     author = {Williams, Bernardo and Tetali, Harsha Vardhan and Klami, Arto and Hartmann, Marcelo},
     booktitle = {The 42nd Conference on Uncertainty in Artificial Intelligence},
     year = {2026},
   }

2. AISTATS

   Simplex-to-Euclidean Bijections for Categorical Flow Matching

   Bernardo Williams, Victor M Yeom-Song, Marcelo Hartmann, and 1 more author

   2026

   arXiv Bib

   @article{williams2025simplex,
     title = {Simplex-to-Euclidean Bijections for Categorical Flow Matching},
     author = {Williams, Bernardo and Yeom-Song, Victor M and Hartmann, Marcelo and Klami, Arto},
     booktitle = {International Conference on Artificial Intelligence and Statistics},
     year = {2026},
   }

2025

1. UAI

   Geodesic Slice Sampler for Multimodal Distributions with Strong Curvature

   Bernardo Williams, Hanlin Yu, Hoang Phuc Hau Luu, and 2 more authors

   In The 41st Conference on Uncertainty in Artificial Intelligence, 2025

   arXiv Bib

   @inproceedings{williamsgeodesic,
     title = {Geodesic Slice Sampler for Multimodal Distributions with Strong Curvature},
     author = {Williams, Bernardo and Yu, Hanlin and Luu, Hoang Phuc Hau and Arvanitidis, Georgios and Klami, Arto},
     booktitle = {The 41st Conference on Uncertainty in Artificial Intelligence},
     year = {2025},
   }

2. ICLR

   Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold

   Hoang Phuc Hau Luu, Hanlin Yu, Bernardo Williams, and 2 more authors

   In The Thirteenth International Conference on Learning Representations, 2025

   arXiv Bib

   @inproceedings{luustochastic,
     title = {Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold},
     author = {Luu, Hoang Phuc Hau and Yu, Hanlin and Williams, Bernardo and Hartmann, Marcelo and Klami, Arto},
     booktitle = {The Thirteenth International Conference on Learning Representations},
     year = {2025},
   }

2024

1. PGM

   Geometric No-U-Turn Samplers: Concepts and Evaluation

   Bernardo Williams, Hanlin Yu, Marcelo Hartmann, and 1 more author

   In 12th International Conference on Probabilistic Graphical Models (PGM), 2024

   Bib

   @inproceedings{Williams2024,
     title = {Geometric {No-U-Turn} Samplers: {C}oncepts and Evaluation},
     author = {Williams, Bernardo and Yu, Hanlin and Hartmann, Marcelo and Klami, Arto},
     booktitle = {12th International Conference on Probabilistic Graphical Models (PGM)},
     year = {2024},
   }

2. AISTATS

   Riemannian Laplace Approximation with the Fisher Metric

   Hanlin Yu, Marcelo Hartmann, Bernardo Williams, and 2 more authors

   In International Conference on Artificial Intelligence and Statistics, 2024

   arXiv Bib

   @inproceedings{yu2024riemannian,
     title = {Riemannian Laplace Approximation with the Fisher Metric},
     author = {Yu, Hanlin and Hartmann, Marcelo and Williams, Bernardo and Girolami, Mark and Klami, Arto},
     booktitle = {International Conference on Artificial Intelligence and Statistics},
     year = {2024},
   }