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Found 7 papers, 0 papers with code
STaR: Knowledge Graph Embedding by Scaling, Translation and Rotation
Therefore, we propose a corresponding bilinear model Scaling Translation and Rotation (STaR) consisting of the above two parts.
Extremal Analysis of Flooding Risk and Management
Catastrophic losses caused by natural disasters receive a growing concern about the severe rise in magnitude and frequency.
Trajectory Prediction using Generative Adversarial Network in Multi-Class Scenarios
Predicting traffic agents' trajectories is an important task for auto-piloting.
Decentralized Safe Reinforcement Learning for Voltage Control
We explicitly engineer the structure of neural network controllers such that they satisfy the Lipschitz constraints by design.
Meta-Imitation Learning by Watching Video Demonstrations
Our approach relies only on human videos and does not require robot demonstration, which facilitates data collection and is more in line with human imitation behavior.
ACDER: Augmented Curiosity-Driven Experience Replay
Exploration in environments with sparse feedback remains a challenging research problem in reinforcement learning (RL).
Geometric algorithms for predicting resilience and recovering damage in neural networks
Biological neural networks have evolved to maintain performance despite significant circuit damage.
