IROS2018: Approximate Distributed Spatiotemporal Topic Models for Multi-Robot Terrain Characterization.
Our paper on enabling distributed learning in bandwidth limited environments was one of the finalists for the best paper award at IROS 2018 (6 finalists among 1,254 accepted). Abstract: Unsupervised learning techniques, such as Bayesian topic models, are capable of discovering latent structure directly from raw data. These unsupervised
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