560 citations · 2.4k across the 28 of their papers we have counts for
28 papers
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…
Zero-shot Meta-learning for Tabular Prediction Tasks with Adversarially Pre-trained Transformer
Yulun Wu, Doron L. Bergman
We present an Adversarially Pre-trained Transformer (APT) that is able to perform zero-shot meta-learning on tabular prediction tasks without pre-training on any real-world dataset…
Symmetry constrained machine learning
Doron L. Bergman
Symmetry, a central concept in understanding the laws of nature, has been used for centuries in physics, mathematics, and chemistry, to help make mathematical models tractable. Yet…
Reply to Comment by Vanderbilt, Souza and Haldane: arXiv:1312.4200
Y. Chen, D. L. Bergman, A. A. Burkov
We reassert our statement that the non-quantized Weyl node contribution to the anomalous Hall conductivity is not a Fermi surface property, contrary to the claim by Vanderbilt, Sou…
Weyl fermions and the anomalous Hall effect in metallic ferromagnets
Y. Chen, D. L. Bergman, A. A. Burkov
We reconsider the problem of the anomalous Hall effect in ferromagnetic SrRuO, incorporating insights from the recently developed theory of Weyl semimetals. We demonstrate that…
Transport through a disordered topological-metal strip
Alexandra Junck, Kun W. Kim, Doron L. Bergman +2
Features of a topological phase, and edge states in particular, may be obscured by overlapping in energy with a trivial conduction band. The topological nature of such a conductor,…