Bringing phenotyping to the farm: an evaluation of 3d reconstruction of plants in outdoor environement

Recent reviews have pointed out that data collection and trait extraction is the major bottleneck in plant phenotyping. Several platforms, like PhenoTiki, provides Open Source components for an affordable acquisition of plant images. Recent years also emphasized the importance of 3d geometric features to characterize the morphology of plants. We describe the hardware and software […]
Sampling Markov Models under Constraints: Complexity Results for Binary Equalities and Grammar Membership

Deep rank-based transposition-invariant distances on musical sequences

Deep learning techniques for music generation-a survey

GLSR-VAE: Geodesic latent space regularization for variational autoencoder architectures

2017 IEEE Symposium Series on Computational Intelligence (SSCI 2017), IEEE, 2017. pp.1–7.
Sampling Variations of Lead Sheets

DeepBach: a Steerable Model for Bach Chorales Generation

Proceedings of the 34th International Conference on Machine Learning, edited by:Doina Precup and Yee Whye Teh, 70, PMLR, International Convention Centre, Sydney, Australia, August, 2017. pp.1362–1371.
Sampling Variations of Sequences for Structured Music Generation
Lettuce Think: A open and versatile robotic platform for weeding and crop monitoring on microfarms
A Computational Construction Grammar for English
Human language users are capable of proficiently learning new constructions and using a language for everyday communication even if they have only acquired a basic linguistic inventory. This paper argues that such robustness can best be achieved through a constructional processing model in which grammatical structures may emerge spontaneously as a side effect of how […]