Energy
Spiking Graph Neural Network on Riemannian Manifolds Li Sun
Graphs are the ubiquitous, non-Euclidean structures that describe the relationship among objects.
TS: A Unified Multi-Task Time Series Model
TS also demonstrates strong few-shot and prompt capabilities when applied to new domains and tasks.
Scalable and Effective Arithmetic Tree Generation for Adder and Multiplier Designs
Across a wide range of hardware scenarios, the computational efficiency and physical size of the arithmetic units significantly influence the speed and footprint of the overall hardware system.
The Importance of Being Scalable: Improving the Speed and Accuracy of Neural Network Interatomic Potentials Across Chemical Domains
It involves how a model's performance
Scalable Constrained Policy Optimization for Safe Multi-agent Reinforcement Learning
A challenging problem in seeking to bring multi-agent reinforcement learning (MARL) techniques into real-world applications, such as autonomous driving and drone swarms, is how to control multiple agents safely and cooperatively to accomplish tasks.