Martin Ganahl

According to our database, Martin Ganahl authored at least 6 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Retentive neural quantum states: efficient ansätze for <i>ab initio</i> quantum chemistry.

Oliver Knitter, Dan Zhao, James Stokes, Martin Ganahl, Stefan Leichenauer, Shravan K. Veerapaneni

Mach. Learn. Sci. Technol., 2025

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

LLM-initialized Differentiable Causal Discovery.

Shiv Kampani, David Hidary, Constantijn van der Poel, Martin Ganahl, Brenda Miao

CoRR, 2024

2021

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

2019

TensorNetwork on TensorFlow: A Spin Chain Application Using Tree Tensor Networks.

Ashley Milsted, Martin Ganahl, Stefan Leichenauer, Jack Hidary, Guifre Vidal

CoRR, 2019

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