This is your work, valued

Vienna

Andreas Burger

Expert
@BurgerAndreas

Ph.D. at the University of Toronto. Machine Learning & Quantum Computing. Prev: TU Wien / LMU Munich / NU Singapore.

hip. HIP: Hessians with Interatomic Potentials

39

gnn-physics. Learning Mesh-Based Simulation with Graph Networks

9

sfm. Flow Matching beyond Gaussian distributions for faster training and inference

2

adjoint_sampling_lj. code for "Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching" with Lennard-Jones

1

mseffect. Accelerate scientific discovery with MS/MS spectra prediction. High-resolution, interpretable, trained on large scale unlabeled spectra data.

1

gad-ff. Molecular Hessians Without Derivatives

1

diffusion-planning. Planning in large domains with continuous diffusion and discrete planners - Andreas Burger, Jack Sun, Yifan Ruan

1

q-spin-boson. Simulating a Spin-Boson Model in an Markovian Environment on Quantum Computers.

1

Hessians-LoT. Python

1