The Manifold Bandwagon
Published:
Off late I am observing a blatant misuse of the term manifold in the AI for materials science field. Trying to draw attention to this sloppiness.
Posts by Tags
bayesian-optimization
Gausiann Process Are a (giant) Box of Functions
Published:
While GPs are heavily used in self-driving labs for materials science, someone starting in this field are bombarded with a bunch of unnecessary probability and kernel math. They’re just a giant boxes of functions we can draw from.
differential-geometry
The Manifold Bandwagon
Published:
Off late I am observing a blatant misuse of the term manifold in the AI for materials science field. Trying to draw attention to this sloppiness.
gaussian-processes
Gausiann Process Are a (giant) Box of Functions
Published:
While GPs are heavily used in self-driving labs for materials science, someone starting in this field are bombarded with a bunch of unnecessary probability and kernel math. They’re just a giant boxes of functions we can draw from.
machine-learning
The Manifold Bandwagon
Published:
Off late I am observing a blatant misuse of the term manifold in the AI for materials science field. Trying to draw attention to this sloppiness.
Gausiann Process Are a (giant) Box of Functions
Published:
While GPs are heavily used in self-driving labs for materials science, someone starting in this field are bombarded with a bunch of unnecessary probability and kernel math. They’re just a giant boxes of functions we can draw from.
A Case for AI-ready Materials Representation from Experiments
Published:
We favor computational representations of materials over experimental signals like scattering and spectroscopy, widening the sim-to-real gap.
manifolds
The Manifold Bandwagon
Published:
Off late I am observing a blatant misuse of the term manifold in the AI for materials science field. Trying to draw attention to this sloppiness.
materials
Gausiann Process Are a (giant) Box of Functions
Published:
While GPs are heavily used in self-driving labs for materials science, someone starting in this field are bombarded with a bunch of unnecessary probability and kernel math. They’re just a giant boxes of functions we can draw from.
A Case for AI-ready Materials Representation from Experiments
Published:
We favor computational representations of materials over experimental signals like scattering and spectroscopy, widening the sim-to-real gap.
representation
A Case for AI-ready Materials Representation from Experiments
Published:
We favor computational representations of materials over experimental signals like scattering and spectroscopy, widening the sim-to-real gap.
scattering
A Case for AI-ready Materials Representation from Experiments
Published:
We favor computational representations of materials over experimental signals like scattering and spectroscopy, widening the sim-to-real gap.
sim-to-real
A Case for AI-ready Materials Representation from Experiments
Published:
We favor computational representations of materials over experimental signals like scattering and spectroscopy, widening the sim-to-real gap.
xrd
A Case for AI-ready Materials Representation from Experiments
Published:
We favor computational representations of materials over experimental signals like scattering and spectroscopy, widening the sim-to-real gap.