Generalizable sampling of conformational ensembles with latent space dynamics

Channel:
United States Simons Institute for the Theory of Computing
Subscribers:
68,700
Published on ● Video Link: https://www.youtube.com/watch?v=eQy9jSobLfI


Duration: 1:01:40
155 views
3

Grant Rotskoff (Stanford)
https://simons.berkeley.edu/talks/grant-rotskoff-stanford-2024-06-11
AI≡Science: Strengthening the Bond Between the Sciences and Artificial Intelligence



Other Videos By Simons Institute for the Theory of Computing


2024-06-21Robust Equation Discovery and Sparse Sensing with Guarantees
2024-06-21Data is as Data Does: The Influence of Computation on Inference
2024-06-21Some thoughts on ML-based protein engineering
2024-06-21Machine learning models of differential gene expression
2024-06-21Open challenges in AI for molecular design: representation, experimental alignment, and...
2024-06-21Illuminating protein space with generative models
2024-06-21Symmetries in Machine Learning for Materials Science
2024-06-21Large ML potentials for chemistry: generalization, inductive biases, and cancellation of errors
2024-06-21Deep learning and numerical methods intersections for improving molecular and fluid dynamics
2024-06-21ML gradients in Molecular Simulations
2024-06-21Generalizable sampling of conformational ensembles with latent space dynamics
2024-06-21The State of Protein Structure Prediction and Friends
2024-06-21From Entropy to Artistry: on Thermodynamics and Generative AI
2024-06-21Explorations in Exploration: Deep Learning meets Value of Information for Sequential...
2024-06-21Error Embraced: Making Trustworthy Scientific Decisions with Imperfect Predictions
2024-06-21Debugging genomic profiling experiments and predictive models with interpretation tools
2024-06-21Harnessing the properties of equivariant neural networks to understand and design materials
2024-06-20Audio-visual self-supervised baby learning
2024-06-18The Platonic Representation Hypothesis
2024-06-18Robot learning, with inspiration from child development
2024-06-18Lightning Talk


Tags:
Simons Institute
theoretical computer science
UC Berkeley
Computer Science
Theory of Computation
Theory of Computing
AI≡Science: Strengthening the Bond Between the Sciences and Artificial Intelligence
Grant Rotskoff