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cs.LG2025
Revisiting Kernel Attention with Correlated Gaussian Process Representation
Long Minh Bui, Tho Tran Huu, Duy Dinh +2
Transformers have increasingly become the de facto method to model sequential data with state-of-the-art performance. Due to its widespread use, being able to estimate and calibrat…
cs.LG2022
Improving Generative Flow Networks with Path Regularization
Anh Do, Duy Dinh, Tan Nguyen +3
Generative Flow Networks (GFlowNets) are recently proposed models for learning stochastic policies that generate compositional objects by sequences of actions with the probability…