My paper was accepted for oral presentation at the 28th International Joint Conference on Neural Networks in Killarney, Ireland.
“Discriminative Learning and Inference in the Recurrent Temporal RBM for Melody Modelling” — The paper proposes the Recurrent Temporal Discriminative RBM (RTDRBM), which combines discriminative learning with recurrent structure to predict probability distributions for the next note in a melody. Evaluated on 8 folk and chorale melody datasets, it outperforms n-grams and other connectionist models with statistically significant improvements.
My first original ML contribution during the PhD, done in collaboration with colleague Son Tran, who also presented a paper at the same conference.
Ireland was beautiful — lush green landscapes and a charming town, even if I spent part of the trip fighting off illness.
