Le-Tuyet-Nhi Pham, Dario Shariatian, Antonio Ocello, Giovanni Conforti, Alain Durmus, Discrete Markov Probabilistic Models, accepted at International Conference in Machine Learning (ICML 2025).
Giovanni Conforti, Alain Durmus, Le-Tuyet-Nhi Pham (first author), Gael Raoul, Non-Asymptotic Convergence of Discrete Diffusion Models: Masked and Random Walk dynamics (2025).
Minh-Phuong Tran, Thanh-Nhan Nguyen, Le-Tuyet-Nhi Pham, Gradient bounds for non-uniformly quasilinear elliptic two-sided obstacle problems with variable exponents, Journal of Mathematical Analysis and Applications, 531 (1) (2024), 127776, 26 pages.
Minh-Phuong Tran, Thanh-Nhan Nguyen, Le-Tuyet-Nhi Pham, Thi-Thanh-Truc Dang, Weighted Lorentz estimates for non-uniformly elliptic problems with variable exponents, Manuscripta Mathematica, 172 (3-4) (2023), 1227–1244.
Thi-Thanh-Truc Dang, Le-Tuyet-Nhi Pham, A weighted Lorentz estimate for Double-Phase problems, HCMC-University of Education Journal of Science, 19(6) (2022), 881-896.