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cs.LG2026
Backpropagated Output Momentum: Relocating Optimizer History from Parameters to Task Space
Yuchen Li, Zongqi Fan, Nguyen H. Tran +1
Optimizer momentum is usually stored as a parameter-sized moving average of past gradients, which makes history costly and fixes each past signal in the coordinates in which it was…
cs.LG2026
Generative Modeling in Protein Design: Neural Representations, Conditional Generation, and Evaluation Standards
Senura Hansaja Wanasekara, Minh-Duong Nguyen, Xiaochen Liu +2
Generative modeling has become a central paradigm in protein research, extending machine learning beyond structure prediction toward sequence design, backbone generation, inverse f…