Faster Training of Diffusion Models and Improved Density Estimation via Parallel Score Matching. - Etrit Haxholli; Marco Lorenzi (CoRR, 2023)

Enhanced Distribution Modelling via Augmented Architectures For Neural ODE Flows. - Etrit Haxholli; Marco Lorenzi (CoRR, 2023)

Scalable and Flexible Density Estimation for Complex Data Distributions. (Estimation de Densité Flexible et Efficace pour lesDistributions des Données Complexes). - Etrit Haxholli (2023)

Minibatch Optimal Transport and Perplexity Bound Estimation in Discrete Flow Matching. - Etrit Haxholli; Yeti Ziya Gürbüz; Ogul Can; Eli Waxman (CoRR, 2024)

On Tail Decay Rate Estimation of Loss Function Distributions. - Etrit Haxholli; Marco Lorenzi (J. Mach. Learn. Res., 2024)

Efficient Perplexity Bound and Ratio Matching in Discrete Diffusion Language Models. - Etrit Haxholli; Yeti Ziya Gurbuz; Ogul Can; Eli Waxman (ICLR, 2025)