Multiple Futures Prediction
Charlie Tang, Russ R. Salakhutdinov
–Neural Information Processing Systems
Temporal prediction is critical for making intelligent and robust decisions in complex dynamic environments. Motion prediction needs to model the inherently uncertain future which often contains multiple potential outcomes, due to multi-agent interactions and the latent goals of others.
Neural Information Processing Systems
Oct-3-2025, 03:48:47 GMT
- Country:
- North America
- Canada (0.04)
- United States
- California > Los Angeles County
- Los Angeles (0.04)
- Georgia > Fulton County
- Atlanta (0.04)
- California > Los Angeles County
- North America
- Industry:
- Transportation > Ground > Road (0.46)
- Technology:
- Information Technology > Artificial Intelligence
- Machine Learning
- Neural Networks > Deep Learning (0.71)
- Statistical Learning (1.00)
- Representation & Reasoning > Agents (1.00)
- Robots (1.00)
- Machine Learning
- Information Technology > Artificial Intelligence