Multimodal Learning paper – IAS’17 Best Paper Finalist

Our paper entitled “Learning Sequential Latent Variable Models from Multimodal Time Series Data” was a Best Paper Finalist at the 17th International Conference on Intelligent Autonomous Systems (IAS’17), held in Zagreb, Croatia, in June! The paper studies how to best combine multimodal data (vision, haptic, and proprioceptive) to improve the performance of manipulation tasks; we learn the latent dynamics of a specific task in an fully self-supervised manner. Congratulations to Oliver Limoyo and Trevor Ablett! The preprint is available on arXiv: