Paper accepted to CVPR 2026
Our latest work on consistency model-based inverse problem solvers has been accepted to the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2026).
New preprint on diffusion model representations
Our new preprint, “No Alignment Needed for Generation: Learning Linearly Separable Representations in Diffusion Models,” is now available.
Best paper finalist at IEEE CAMSAP 2025
Zero-shot Adaptive Diffusion Sampling (ZADS), our new approach to adaptive diffusion sampling in fast MRI, is a best paper finalist at IEEE CAMSAP 2025.
2 papers accepted to NeurIPS 2025 with one as a spotlight
Our latest work on accessible fast MRI reconstruction without raw k-space data and adaptive, time-aware algorithm unrolling for computational MRI has been accepted to NeurIPS 2025.
Prof. Akçakaya Named Inaugural Jim and Sara Anderson Chair
Prof. Akçakaya has been appointed as the inaugural Jim and Sara Anderson Chair.
