Abbas Mammadov

According to our database, Abbas Mammadov authored at least 7 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Variational Flow Maps: Make Some Noise for One-Step Conditional Generation.

Abbas Mammadov, So Takao, Bohan Chen, Ricardo Baptista, Morteza Mardani, Yee Whye Teh, Julius Berner

CoRR, March, 2026

Meta Flow Maps enable scalable reward alignment.

Peter Potaptchik, Adhi Saravanan, Abbas Mammadov, Alvaro Prat, Michael S. Albergo, Yee Whye Teh

CoRR, January, 2026

2025

EquiReg: Equivariance Regularized Diffusion for Inverse Problems.

Bahareh Tolooshams, Aditi Chandrashekar, Rayhan Zirvi, Abbas Mammadov, Jiachen Yao, Chuwei Wang, Anima Anandkumar

CoRR, May, 2025

Guided Diffusion Sampling on Function Spaces with Applications to PDEs.

Jiachen Yao, Abbas Mammadov, Julius Berner, Gavin Kerrigan, Jong Chul Ye, Kamyar Azizzadenesheli, Anima Anandkumar

CoRR, May, 2025

2024

Amortized Posterior Sampling with Diffusion Prior Distillation.

Abbas Mammadov, Hyungjin Chung, Jong Chul Ye

CoRR, 2024

Defining Neural Network Architecture through Polytope Structures of Dataset.

Sangmin Lee, Abbas Mammadov, Jong Chul Ye

CoRR, 2024

Defining Neural Network Architecture through Polytope Structures of Datasets.

Sangmin Lee, Abbas Mammadov, Jong Chul Ye

Proceedings of the Forty-first International Conference on Machine Learning, 2024