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20242026
most citedUsing Deep Learning to Design High Aspect Ratio Fusion Devices

4 citations · 4 across the 5 of their papers we have counts for

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cs.LG2026

LiFT: Loop Flow Transformers

Mohammad Mahdi Derakhshani, Pedro M. P. Curvo, Gertjan J. Burghouts +2

We introduce Loop Flow Transformers (LiFT), a family of looped generative models that scales computation by repeatedly applying a shared Diffusion Transformer (DiT) core, with only…

cs.LG2026

Follow the Mean: Reference-Guided Flow Matching

Pedro M. P. Curvo, Maksim Zhdanov, Floor Eijkelboom +1

Existing approaches to controllable generation typically rely on fine-tuning, auxiliary networks, or test-time search. We show that flow matching admits a different control interfa…