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cs.LG2026
Terminally constrained flow-based generative models from an optimal control perspective
Weiguo Gao, Ming Li, Qianxiao Li
We address the problem of sampling from terminally constrained distributions with pre-trained flow-based generative models through an optimal control formulation. Theoretically, we…
cs.LG2025
Learning task-specific predictive models for scientific computing
Jianyuan Yin, Qianxiao Li
We consider learning a predictive model to be subsequently used for a given downstream task (described by an algorithm) that requires access to the model evaluation. This task need…
cs.LG2021★ 1 cited
QROSS: QUBO Relaxation Parameter Optimisation via Learning Solver Surrogates
Tian Huang, Siong Thye Goh, Sabrish Gopalakrishnan +3
An increasingly popular method for solving a constrained combinatorial optimisation problem is to first convert it into a quadratic unconstrained binary optimisation (QUBO) problem…