Generalized Sliced Wasserstein Distances. - Soheil Kolouri; Kimia Nadjahi; Umut Simsekli; Roland Badeau; Gustavo K. Rohde (NeurIPS, 2019)

Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein Distance. - Kimia Nadjahi; Alain Durmus; Umut Simsekli; Roland Badeau (NeurIPS, 2019)

Safe Policy Improvement with Soft Baseline Bootstrapping. - Kimia Nadjahi; Romain Laroche; Rémi Tachet des Combes (ECML/PKDD (3), 2019)

Approximate Bayesian Computation with the Sliced-Wasserstein Distance. - Kimia Nadjahi; Valentin De Bortoli; Alain Durmus; Roland Badeau; Umut Simsekli (ICASSP, 2020)

Statistical and Topological Properties of Sliced Probability Divergences. - Kimia Nadjahi; Alain Durmus; Lénaïc Chizat; Soheil Kolouri; Shahin Shahrampour; Umut Simsekli (NeurIPS, 2020)

Generalized Sliced Distances for Probability Distributions. - Soheil Kolouri; Kimia Nadjahi; Umut Simsekli; Shahin Shahrampour (CoRR, 2020)

Fast Approximation of the Sliced-Wasserstein Distance Using Concentration of Random Projections. - Kimia Nadjahi; Alain Durmus; Pierre E. Jacob; Roland Badeau; Umut Simsekli (NeurIPS, 2021)

Generalized Sliced Probability Metrics. - Soheil Kolouri; Kimia Nadjahi; Shahin Shahrampour; Umut Simsekli (ICASSP, 2022)

Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances. - Ruben Ohana; Kimia Nadjahi; Alain Rakotomamonjy; Liva Ralaivola (ICML, 2023)

Unbalanced Optimal Transport meets Sliced-Wasserstein. - Thibault Séjourné; Clément Bonet; Kilian Fatras; Kimia Nadjahi; Nicolas Courty (CoRR, 2023)

Federated Wasserstein Distance. - Alain Rakotomamonjy; Kimia Nadjahi; Liva Ralaivola (ICLR, 2024)

Slicing Mutual Information Generalization Bounds for Neural Networks. - Kimia Nadjahi; Kristjan H. Greenewald; Rickard Brüel Gabrielsson; Justin Solomon 001 (ICML, 2024)

Asymmetry in Low-Rank Adapters of Foundation Models. - Jiacheng Zhu; Kristjan H. Greenewald; Kimia Nadjahi; Haitz Sáez de Ocáriz Borde; Rickard Brüel Gabrielsson; Leshem Choshen; Marzyeh Ghassemi; Mikhail Yurochkin; Justin Solomon 001 (ICML, 2024)

Slicing Unbalanced Optimal Transport. - Clément Bonet; Kimia Nadjahi; Thibault Séjourné; Kilian Fatras; Nicolas Courty (Trans. Mach. Learn. Res., 2025)

Optimal Transport-based Conformal Prediction. - Gauthier Thurin; Kimia Nadjahi; Claire Boyer (CoRR, 2025)