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.
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.
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.
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.
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.
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.
Published:
We favor computational representations of materials while ignoring experimental signals representations like scattering and spectroscopy in ML models, widening the sim-to-real gap.
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.
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.
Published:
We favor computational representations of materials while ignoring experimental signals representations like scattering and spectroscopy in ML models, widening the sim-to-real gap.
Published:
We favor computational representations of materials while ignoring experimental signals representations like scattering and spectroscopy in ML models, widening the sim-to-real gap.
Published:
We favor computational representations of materials while ignoring experimental signals representations like scattering and spectroscopy in ML models, widening the sim-to-real gap.
Published:
We favor computational representations of materials while ignoring experimental signals representations like scattering and spectroscopy in ML models, widening the sim-to-real gap.
Published:
We favor computational representations of materials while ignoring experimental signals representations like scattering and spectroscopy in ML models, widening the sim-to-real gap.