August 2020 | KDD

Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions

Praveen Chandar, James McInerney, Brian Brost, Rishabh Mehrotra, Benjamin Carterette

August 2020 | Uncertainty in Artificial Intelligence (UAI)

Stochastic Variational Inference for Dynamic Correlated Topic Models

Federico Tomasi, Praveen Chandar, Gal Levy-Fix, Mounia Lalmas, Zhenwen Dai

July 2020 | SIGIR

Recommending Podcasts for Cold-Start Users Based on Music Listening and Taste

Zahra Nazari, Christophe Charbuillet, Johan Pages, Martin Laurent, Denis Charrier, Briana Vecchione, Ben Carterette

July 2020 | IJCAI - International Joint Conference on Artificial Intelligence

Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling

Daniel Stoller, Mi Tian, Sebastian Ewert, and Simon Dixon

July 2020 | WCCI/IJCNN - IEEE World Congress on Computational Intelligence / International Joint Conference on Neural Networks

Using a Neural Network Codec Approximation Loss to Improve Source Separation Performance in Limited Capacity Networks

Ishwarya Ananthabhotla, Sebastian Ewert, Joseph A. Paradiso

July 2020 | EC

The Engagement-Diversity Connection: Evidence from a Field Experiment on Spotify

David Holtz, Benjamin Carterette, Praveen Chandar, Zahra Nazari, Henriette Cramer, Sinan Aral

July 2020 | SPPS

“Just The Way You Are”: Linking Music Listening on Spotify and Personality

Ian Anderson, Santiago Gil, Clay Gibson, Scott Wolf, Will Shapiro, Oguz Semerci, David M. Greenberg

July 2020 | Designing Interactive Systems

Using Remote Controlled Speech Agents to Explore Music Experience in Context

Nik Martalero, Sarah Mennicken, Jennifer Thom, Henriette Cramer, Wendy Ju

June 2020 | ICWSM

Local Trends in Global Music Streaming

Samuel F. Way, Jean Garcia Gathright, Henriette Cramer

May 2020 | CHI

Giving Voice to Silent Data: Designing with Personal Music Listening History

Jordan Wirfs-Brock, Sarah Mennicken, Jennifer Thom

April 2020 | ICLR - International Conference on Learning Representations

Training Generative Adversarial Networks from Incomplete Observations using Factorised Discriminators

Daniel Stoller, Sebastian Ewert, Simon Dixon

April 2020 | The Web Conference

Do podcasts and music compete with one another? Understanding music and podcast listening habits

Ang Li, Alice Wang, Zahra Nazari, Praveen Chandar, Benjamin Carterette

April 2020 | The Web Conference

Algorithmic Effects on the Diversity of Consumption on Spotify

Ashton Anderson, Lucas Maystre, Rishabh Mehrotra, Ian Anderson, Mounia Lalmas

April 2020 | The Web Conference Companion

Leveraging Behavioral Heterogeneity Across Markets for Cross-Market Training of Recommender Systems

Kevin Roitero, Ben Carterrete, Rishabh Mehrotra, Mounia Lalmas

November 2019 | ISMIR

Augmenting Music Listening Experiences on Voice Assistants

Morteza Behrooz, Sarah Mennicken, Rohit Kumar, Henriette Cramer, Jennifer Thom

November 2019 | ISMIR

mirdata: Software for Reproducible Usage of Datasets

Rachel M Bittner, Magdalena Fuentes, David Rubinstein, Andreas Jansson, Keunwoo Choi, Thor Kell

November 2019 | ISMIR

Generalized Metrics for Single-F0 Estimation Evaluation

Rachel M. Bittner, Juan J Bosch

October 2019 | ACM MM - ACM International Conference on Multimedia

Towards a Perceptual Loss: Using a Neural Network Codec Approximation as a Loss for Generative Audio Models

Ishwarya Ananthabhotla, Sebastian Ewert, Joseph A. Paradiso

September 2019 | ACM Transactions on Intelligent Systems and Technology

An Analysis of Approaches Taken in the ACM RecSys Challenge 2018 for Automatic Music Playlist Continuation

Hamed Zamani, Markus Schedl, Paul Lamere, Ching-Wei Chen

September 2019 | EUSIPCO

Joint Singing Voice Separation and F0 Estimation with Deep U-Net Architectures

Andreas Jansson, Rachel M Bittner, Sebastian Ewert, Tillman Weyde