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cs.LG2026
BEM: Learning Bregman Divergences for Concept Erasure in Flow Matching Models
Mohamed-Hicham Leghettas, Markus Püschel
Concept erasure removes harmful, private, or copyrighted concepts from text-to-image models while preserving their other abilities. Leading models such as FLUX and Stable Diffusion…
cs.PF2026
Fast Entropy Decoding for Sparse MVM on GPUs
Emil Schätzle, Tommaso Pegolotti, Markus Püschel
We present a novel, practical approach to speed up sparse matrix-vector multiplication (SpMVM) on GPUs. The novel key idea is to apply lossless entropy coding to further compress t…