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Found 4 papers, 2 papers with code
Multi-Task Multi-Fidelity Learning of Properties for Energetic Materials
Data science and artificial intelligence are playing an increasingly important role in the physical sciences.
Neural Isometries: Taming Transformations for Equivariant ML
Real-world geometry and 3D vision tasks are replete with challenging symmetries that defy tractable analytical expression.
NeuriCam: Key-Frame Video Super-Resolution and Colorization for IoT Cameras
Our idea is to design a dual-mode camera system where the first mode is low-power (1. 1 mW) but only outputs grey-scale, low resolution, and noisy video and the second mode consumes much higher power (100 mW) but outputs color and higher resolution images.
Colorization
Key-Frame-based Video Super-Resolution (K = 15)
Learning Bipedal Robot Locomotion from Human Movement
In this work we present a reinforcement learning based method for teaching a real world bipedal robot to perform movements directly from human motion capture data.
