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cs.LG2026
Central Dogma Transformer II: An AI Microscope for Understanding Cellular Regulatory Mechanisms
Nobuyuki Ota
Motivation: Interpretability is not optional in biology: understanding gene regulation requires models whose learned structure can be directly interrogated, not merely accurate pre…
cs.LG2021
Forward Operator Estimation in Generative Models with Kernel Transfer Operators
Zhichun Huang, Rudrasis Chakraborty, Vikas Singh
Generative models which use explicit density modeling (e.g., variational autoencoders, flow-based generative models) involve finding a mapping from a known distribution, e.g. Gauss…