Object-Centric Learning (OCL) aggregates image or video feature maps into object-level feature vectors, termed \textit{slots}. It's self-supervision of reconstructing the input from slots struggles ...

An implementation of the NICE model from Dinh et al (2014) in PyTorch. I was only able to find the original theano-based repo from the first author, and I figured it would be good practice to ...

Georgia Institute of Technology, School of Chemistry and Biochemistry and Center for Organic Photonics and Electronics, Atlanta, Georgia 30332-0400, United States Renewable and Sustainable Energy ...

Modern industrial robots are increasingly deployed in dynamic environments, where unpredictable events are expected to impact the robot’s operation. Under these conditions, runtime task replanning is ...