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Career

· Research Faculty (Chargée de recherche), ENS Paris2024–
· Part-time Lecturer (Professeure attachée), Paris Sciences et Lettres University (PSL)2024–
· School of Engineering Distinguished Postdoctoral Fellow, MIT2022–2024
· PhD Student, Institut Polytechnique de Paris2021–
· Postdoctoral Researcher, Sorbonne University2021–2022
· PhD Student, Telecom Paris2021–
· MS in Computer Vision and Machine Learning, ENS Cachan
· Engineer's Degree in Applied Mathematics and Computer Science, Ensimag

Publications (34)

Generalized Sliced Wasserstein Distances
Neural Information Processing Systems · 2019
350
cited
Statistical and Topological Properties of Sliced Probability Divergences
Neural Information Processing Systems · 2020
97
cited
Asymmetry in Low-Rank Adapters of Foundation Models
International Conference on Machine Learning · 2024
67
cited
Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein Distance
Neural Information Processing Systems · 2019
65
cited
Fast Approximation of the Sliced-Wasserstein Distance Using Concentration of Random Projections
Neural Information Processing Systems · 2021
47
cited
Safe Policy Improvement with Soft Baseline Bootstrapping
ECML/PKDD · 2019
37
cited
Approximate Bayesian Computation with the Sliced-Wasserstein Distance
IEEE International Conference on Acoustics, Speech, and Signal Processing · 2019
27
cited
Generalized Sliced Probability Metrics
IEEE International Conference on Acoustics, Speech, and Signal Processing · 2022
16
cited
Optimal Transport-based Conformal Prediction
International Conference on Machine Learning · 2025
15
cited
Federated Wasserstein Distance
International Conference on Learning Representations · 2023
10
cited
Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances
International Conference on Machine Learning · 2022
7
cited
Slicing Unbalanced Optimal Transport
2023
7
cited
Generalized Sliced Distances for Probability Distributions
arXiv.org · 2020
4
cited
Slicing Mutual Information Generalization Bounds for Neural Networks
International Conference on Machine Learning · 2024
4
cited
Soft Safe Policy Improvement with Baseline Bootstrapping
2019
Tighter CMI-Based Generalization Bounds via Stochastic Projection and Quantization
arXiv.org · 2025
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Kimia Nadjahi | Researcher Profile | Sotabase | Sotabase