| Learning Riemannian metric for disease progression modeling S Gruffaz, PE Poulet, E Maheux, B Jedynak, S Durrleman Advances in Neural Information Processing Systems 34, 23780-23792, 2021 | 16 | 2021 |
| On the convergence of dynamic implementations of Hamiltonian Monte Carlo and No U-Turn Samplers A Durmus, S Gruffaz, M Kailas, E Saksman, M Vihola arXiv preprint arXiv:2307.03460, 2023 | 2 | 2023 |
| Stochastic Approximation with Biased MCMC for Expectation Maximization S Gruffaz, K Kim, A Durmus, J Gardner International Conference on Artificial Intelligence and Statistics, 2332-2340, 2024 | | 2024 |
| Geodesic slice sampling on Riemannian manifolds A Durmus, S Gruffaz, M Hasenpflug, D Rudolf arXiv e-prints, arXiv: 2312.00417, 2023 | | 2023 |
| Supplementary document. S Gruffaz, PE Poulet, E Maheux, B Jedynak, S Durrleman | | |
