1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2026
Prediction--Loss Alignment for Sampler--Robust Flow Matching Training
Jiadong Hong, Lei Liu, Xinyu Bian +2
Recent work has popularized a practical recipe in diffusion and flow matching: predict the clean signal , convert it to a velocity, and train through a velocity-space loss. The…
cs.LG2024★ 1 cited
Variational autoencoder-based neural network model compression
Liang Cheng, Peiyuan Guan, Amir Taherkordi +2
Variational Autoencoders (VAEs), as a form of deep generative model, have been widely used in recent years, and shown great great peformance in a number of different domains, inclu…