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q-fin.CP2025
BondBERT: What we learn when assigning sentiment in the bond market
Toby Barter, Zheng Gao, Eva Christodoulaki +2
Bond markets respond differently to macroeconomic news compared to equity markets, yet most sentiment models are trained primarily on general financial or equity news data. However…
cs.LG2025
Regularized second-order optimization of tensor-network Born machines
Matan Ben-Dov, Jing Chen
Tensor-network Born machines (TNBMs) are quantum-inspired generative models for learning data distributions. Using tensor-network contraction and optimization techniques, the model…