56 citations · 77 across the 6 of their papers we have counts for
7 papers
Predicted Trajectory Guidance Control Framework of Teleoperated Ground Vehicles Compensating for Delays
Qiang Zhang, Zhouli Xu, Yihang Wang +3
Maneuverability and drivability of the teleoperated ground vehicle could be seriously degraded by large communication delays if the delays are not properly compensated. This paper…
From latent dynamics to meaningful representations
Dedi Wang, Yihang Wang, Luke Evans +1
While representation learning has been central to the rise of machine learning and artificial intelligence, a key problem remains in making the learned representations meaningful.…
From data to noise to data: mixing physics across temperatures with generative artificial intelligence
Yihang Wang, Lukas Herron, Pratyush Tiwary
Using simulations or experiments performed at some set of temperatures to learn about the physics or chemistry at some other arbitrary temperature is a problem of immense practical…
Understanding the role of predictive time delay and biased propagator in RAVE
Yihang Wang, Pratyush Tiwary
In this work, we revisit our recent iterative machine learning (ML) -- molecular dynamics (MD) technique "Reweighted autoencoded variational Bayes for enhanced sampling (RAVE)" (Ri…
Machine learning approaches for analyzing and enhancing molecular dynamics simulations
Yihang Wang, Joao Marcelo Lamim Ribeiro, Pratyush Tiwary
Molecular dynamics (MD) has become a powerful tool for studying biophysical systems, due to increasing computational power and availability of software. Although MD has made many c…
Ligand dissociation mechanisms from all-atom simulations: Are we there yet?
Joao Marcelo Lamim Ribeiro, Sun-Ting Tsai, Debabrata Pramanik +2
Large parallel gains in the development of both computational resources as well as sampling methods have now made it possible to simulate dissociation events in ligand-protein comp…
Reweighted Autoencoded Variational Bayes for Enhanced Sampling (RAVE)
Joao Marcelo Lamim Ribeiro, Pablo Bravo Collado, Yihang Wang +1
Here we propose the Reweighted Autoencoded Variational Bayes for Enhanced Sampling (RAVE) method, a new iterative scheme that uses the deep learning framework of variational autoen…