54 citations · 89 across the 4 of their papers we have counts for
4 papers
AI co-mathematician: Accelerating mathematicians with agentic AI
Daniel Zheng, Ingrid von Glehn, Yori Zwols +15
We introduce the AI co-mathematician, a workbench for mathematicians to interactively leverage AI agents to pursue open-ended research. The AI co-mathematician is optimized to prov…
Accurate Computation of Quantum Excited States with Neural Networks
David Pfau, Simon Axelrod, Halvard Sutterud +2
We present a variational Monte Carlo algorithm for estimating the lowest excited states of a quantum system which is a natural generalization of the estimation of ground states. Th…
A Self-Attention Ansatz for Ab-initio Quantum Chemistry
Ingrid von Glehn, James S. Spencer, David Pfau
We present a novel neural network architecture using self-attention, the Wavefunction Transformer (Psiformer), which can be used as an approximation (or Ansatz) for solving the man…
An embedded method-of-lines approach to solving partial differential equations on surfaces
Ingrid von Glehn, Thomas März, Colin B. Macdonald
We introduce a method-of-lines formulation of the closest point method, a numerical technique for solving partial differential equations (PDEs) defined on surfaces. This is an embe…