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Found 6 papers, 4 papers with code
Token-Efficient Leverage Learning in Large Language Models
With the same amount of task data, TELL leads in improving task performance compared to SFT.
Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting
Multi-scale division divides the time series into different temporal resolutions using patches of various sizes.
Predicted Trajectory Guidance Control Framework of Teleoperated Ground Vehicles Compensating for Delays
Maneuverability and drivability of the teleoperated ground vehicle could be seriously degraded by large communication delays if the delays are not properly compensated.
From latent dynamics to meaningful representations
We show this is a more natural constraint for representation learning in stochastic dynamical systems, with the crucial ability to uniquely identify the ground truth representation.
Understanding the role of predictive time delay and biased propagator in RAVE
We demonstrate through a master equation framework as to why the exact choice of time-delay is irrelevant as long as a small non-zero value is adopted.
Statistical Mechanics Chemical Physics Computational Physics
Machine learning approaches for analyzing and enhancing molecular dynamics simulations
Molecular dynamics (MD) has become a powerful tool for studying biophysical systems, due to increasing computational power and availability of software.
Computational Physics Biological Physics Chemical Physics
