TensorNetwork: A Library for Physics and Machine Learning. - Chase Roberts; Ashley Milsted; Martin Ganahl; Adam Zalcman; Bruce Fontaine; Yijian Zou; Jack Hidary; Guifre Vidal; Stefan Leichenauer (CoRR, 2019)

TensorNetwork on TensorFlow: A Spin Chain Application Using Tree Tensor Networks. - Ashley Milsted; Martin Ganahl; Stefan Leichenauer; Jack Hidary; Guifre Vidal (CoRR, 2019)

Large Scale Distributed Linear Algebra With Tensor Processing Units. - Adam G. M. Lewis; Jackson Beall; Martin Ganahl; Markus Hauru; Shrestha Basu Mallick; Guifre Vidal (CoRR, 2021)

LLM-initialized Differentiable Causal Discovery. - Shiv Kampani; David Hidary; Constantijn van der Poel; Martin Ganahl; Brenda Miao (CoRR, 2024)

Retentive Neural Quantum States: Efficient Ansätze for Ab Initio Quantum Chemistry. - Oliver Knitter; Dan Zhao; James Stokes; Martin Ganahl; Stefan Leichenauer; Shravan K. Veerapaneni (CoRR, 2024)

Retentive neural quantum states: efficient ansätze for ab initio quantum chemistry. - Oliver Knitter; Dan Zhao; James Stokes; Martin Ganahl; Stefan Leichenauer; Shravan K. Veerapaneni (Mach. Learn. Sci. Technol., 2025)