Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Towards Physically Reliable Molecular Representation Learning - UAI 2023 Oral Session 5

Uncertainty in Artificial Intelligence via YouTube

Overview

Explore a cutting-edge conference talk on molecular representation learning presented at the Uncertainty in Artificial Intelligence (UAI) 2023 conference. Delve into the challenges of estimating energetic properties of molecular systems for material design and discover a novel approach that combines physics-driven parameter estimation with self-supervised learning. Learn about the proposed method's effectiveness in discovering molecular structures and its potential for extrapolating to chemical reaction pathways beyond stable states. Gain insights into new evaluation schemes that go beyond traditional energy and force accuracy measurements, and understand how this research contributes to the development of physically reliable molecular representation learning.

Syllabus

UAI 2023 Oral Session 5: Towards Physically Reliable Molecular Representation Learning

Taught by

Uncertainty in Artificial Intelligence

Reviews

Start your review of Towards Physically Reliable Molecular Representation Learning - UAI 2023 Oral Session 5

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.