Approximate Predictive Representations of Partially Observable Systems. - Monica Dinculescu; Doina Precup (ICML, 2010)

The Duality of State and Observation in Probabilistic Transition Systems. - Monica Dinculescu; Christopher Hundt; Prakash Panangaden; Joelle Pineau; Doina Precup (TbiLLC, 2011)

collabdraw: An Environment for Collaborative Sketching with an Artificial Agent. - Judith E. Fan; Monica Dinculescu; David Ha (Creativity & Cognition, 2019)

Music Transformer: Generating Music with Long-Term Structure. - Cheng-Zhi Anna Huang; Ashish Vaswani; Jakob Uszkoreit; Ian Simon; Curtis Hawthorne; Noam Shazeer; Andrew M. Dai; Matthew D. Hoffman; Monica Dinculescu; Douglas Eck (ICLR (Poster), 2019)

Approachable Music Composition with Machine Learning at Scale. - Cheng-Zhi Anna Huang; Curtis Hawthorne; Adam Roberts; Monica Dinculescu; James Wexler; Leon Hong; Jacob Howcroft (ISMIR, 2019)

The Bach Doodle: Approachable music composition with machine learning at scale. - Cheng-Zhi Anna Huang; Curtis Hawthorne; Adam Roberts; Monica Dinculescu; James Wexler; Leon Hong; Jacob Howcroft (CoRR, 2019)

Encoding Musical Style with Transformer Autoencoders. - Kristy Choi; Curtis Hawthorne; Ian Simon; Monica Dinculescu; Jesse H. Engel (ICML, 2020)

Human-AI Co-Creation in Songwriting. - Cheng-Zhi Anna Huang; Hendrik Vincent Koops; Ed Newton-Rex; Monica Dinculescu; Carrie J. Cai (ISMIR, 2020)

AI Song Contest: Human-AI Co-Creation in Songwriting. - Cheng-Zhi Anna Huang; Hendrik Vincent Koops; Ed Newton-Rex; Monica Dinculescu; Carrie J. Cai (CoRR, 2020)