1 citations · 1 across the 3 of their papers we have counts for
4 papers
Using Ensemble Diffusion to Estimate Uncertainty for End-to-End Autonomous Driving
Florian Wintel, Sigmund H. Høeg, Gabriel Kiss +1
End-to-end planning systems for autonomous driving are rapidly improving, especially in closed-loop simulation environments like CARLA. Many such driving systems either do not cons…
Hybrid Diffusion for Simultaneous Symbolic and Continuous Planning
Sigmund Hennum Høeg, Aksel Vaaler, Chaoqi Liu +2
Constructing robots to accomplish long-horizon tasks is a long-standing challenge within artificial intelligence. Approaches using generative methods, particularly Diffusion Models…
Flexible Multitask Learning with Factorized Diffusion Policy
Chaoqi Liu, Haonan Chen, Sigmund H. Høeg +4
Multitask learning poses significant challenges due to the highly multimodal and diverse nature of robot action distributions. However, effectively fitting policies to these comple…
Streaming Diffusion Policy: Fast Policy Synthesis with Variable Noise Diffusion Models
Sigmund H. Høeg, Yilun Du, Olav Egeland
Diffusion models have seen rapid adoption in robotic imitation learning, enabling autonomous execution of complex dexterous tasks. However, action synthesis is often slow, requirin…