Cold-Starting Podcast Ads with Multi-Task Learning
Transforming AI Research into Personalized Listening: Spotify at NeurIPS 2025
Teaching Large Language Models to Speak Spotify: How Semantic IDs Enable Personalization
Spillover Detection for Donor Selection in Synthetic Control Models
Latest Publications
We publish research papers and present our work in a wide range of venues.
More publicationsMeasuring Uncertainty Calibration
Kamil Ciosek, Nicolò Felicioni,Sina Ghiassian, Juan Elenter, Francesco Tonolini, David Gustafsson, Eva Garcia-Martin, Carmen Gonzalez, Raphaëlle Bertrand-Lalo
A Bayesian Information Theoretic Approach to Data Attribution
Dharmesh Tailor, Kamil Ciosek, Nicolò Felicioni
A Gaussian Process View on Observation Noise and Initialization in Wide Neural Networks
Sergio Calvo-Ordoñez, Jonathan Plenk, Richard Bergna, Alvaro Cartea, Jose Miguel Hernandez-Lobato, Konstantina Palla, Kamil Ciosek
Research Areas
How do we create more personalized experiences? What can we learn about listeners on how they use written language? How do we optimize testing methodologies? Explore all our research areas below.
We are looking for pioneers to join us in all research areas
We're expanding knowledge of audio and video technology every day, sharing open source frameworks, tools, libraries, and models for everything from research exploration to large-scale production deployment.
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