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20232026
most citedZero-shot Meta-learning for Tabular Prediction Tasks with Adversarially Pre-trained Transformer

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cs.LG2026

Alternating Levenberg-Marquardt Training of Physics-Informed Neural Networks with Fourier-Enhanced Features

Yulun Wu, Matthieu Barreau, Miguel Aguiar +1

Physics-informed neural networks (PINNs) often fail to accurately resolve partial differential equations (PDEs) with high-frequency or multi-scale solutions, as well as strongly no…

cs.LG2026

PersonaLedger: Generating Realistic Financial Transactions with Persona Conditioned LLMs and Rule Grounded Feedback

Dehao Yuan, Tyler Farnan, Stefan Tesliuc +8

Strict privacy regulations limit access to real transaction data, slowing open research in financial AI. Synthetic data can bridge this gap, but existing generators do not jointly…