Publications

Jun 16, 2026|ICLR
Measuring Uncertainty Calibration
Kamil Ciosek, Nicolò Felicioni,Sina Ghiassian, Juan Elenter, Francesco Tonolini, David Gustafsson, Eva Garcia-Martin, Carmen Gonzalez, Raphaëlle Bertrand-Lalo
Jun 16, 2026|AISTATS
A Bayesian Information Theoretic Approach to Data Attribution
Dharmesh Tailor, Kamil Ciosek, Nicolò Felicioni
Jun 16, 2026|AISTATS
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
Jun 16, 2026|CHIIR
PulseSearch: Modeling Long- and Short-term Patterns for Personalized Music Search Suggestions
Antonios Anagnostou, Jose Luis Redondo Garcia, Emelie Jin, Jonathan Warburton, Vinay Rao, Yannis Kantarelis, Daniel Lazarovski, Dani Doro, Francesco Cucari, Christine Doig Cardet, Hugues Bouchard, Dominic Child, Jonathan C. Brooks-Bartlett, Mounia Lalmas
Mar 17, 2026|WSDM
Cold-Starting Podcast Ads and Promotions with Multi-Task Learning on Spotify
Shivam Verma, Hannes Karlbom, Yu Zhao, Nick Topping, Vivian Chen, Kieran Stanley, Bharath Rengarajan
Nov 13, 2025|Journal of Causal Inference
Spillover Detection for Donor Selection in Synthetic Control Models
Michael O'Riordan, Ciarán Gilligan-Lee
Nov 11, 2025|CIKM
Learning Optimal Personalised Reservation Prices in Impression Ad Auctions with Mixture Density Networks
Dmitrii Moor, Emma Zetterdahl, Paul van Vliet, Zhenwen Dai, Mounia Lalmas
Sep 30, 2025|ICML
LLARK : A Multimodal Instruction-Following Language Model for Music
Joshua Gardner, Simon Durand, Daniel Stoller, Rachel Bittner
Sep 11, 2025|RecSys CONSEQUENCES Workshop
Calibrated Recommendations with Contextual Bandits
Diego Feijer, Himan Abdollahpouri, Sanket Gupta, Alexander Clare, Yuxiao Wen, Todd Wasson, Maria Dimakopoulou, Zahra Nazari, Kyle Kretschman, Mounia Lalmas
Sep 11, 2025|RecSys
Evaluating Podcast Recommendations with Profile-Aware LLM-as-a-Judge
Francesco Fabbri, Gustavo Penha, Edoardo D'Amico, Alice Wang, Marco De Nadai, Jackie Doremus, Paul Gigioli, Andreas Damianou, Oskar Stål, Mounia Lalmas
Sep 11, 2025|RecSys
Semantic IDs for Joint Generative Search and Recommendation
Gustavo Penha, Edoardo D'Amico, Marco De Nadai, Enrico Palumbo, Alexandre Tamborrino, Ali Vardasbi, Max Lefarov, Shawn Lin, Timothy Heath, Francesco Fabbri, Hugues Bouchard
Sep 11, 2025|RecSys EARL Workshop
AudioBoost: Increasing Audiobook Retrievability in Spotify Search with Synthetic Query Generation
Enrico Palumbo, Gustavo Penha, Alva Liu, Marcus Eltscheminov, Jefferson Carvalho dos Santos, Alice Wang, Hugues Bouchard, Humberto Jesús Corona Pampin, Michelle Tran Luu
Sep 9, 2025|RecSys
Generalized User Representations for Large-Scale Recommendations and Downstream Tasks
Ghazal Fazelnia, Sanket Gupta, Claire Keum, Mark Koh, Timothy Heath, Guillermo Carrasco Hernández, Stephen Xie, Nandini Singh, Ian Anderson, Maya Hristakeva, Petter Pehrson Skidén, Mounia Lalmas
Sep 9, 2025|RecSys
Prompt-to-Slate: Diffusion Models for Prompt-Conditioned Slate Generation
Federico Tomasi, Francesco Fabbri, Justin Carter, Elias Kalomiris, Mounia Lalmas, Zhenwen Dai
Sep 9, 2025|RecSys
You Say Search, I Say Recs: A Scalable Agentic Approach to Query Understanding and Exploratory Search at Spotify
Enrico Palumbo, Marcus Isaksson, Alexandre Tamborrino, Maria Movin, Catalin Dincu, Ali Vardasbi, Lev Nikeshkin, Oksana Gorobets, Anders Nyman, Poppy Newdick, Hugues Bouchard, Paul Bennett, Mounia Lalmas, Dani Doro, Christine Doig Cardet, Ziad Sultan
Sep 9, 2025|RecSys
Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations
Marco De Nadai, Andreas Damianou, Mounia Lalmas
Aug 19, 2025|SSW
Scaling Transformer-based Text-to-Speech with Knowledge Distillation
Erik Henriksson, Tom Merritt, Rasmus Dall, Felix Vaughan, Veronica Morfi
Aug 5, 2025|KDD
An Audio-centric Multi-task Learning Framework for Streaming Ads Targeting on Spotify
Shivam Verma, Vivian Chen, Darren Mei
Aug 5, 2025|KDD
ForTune: Running Offline Scenarios to Estimate Impact on Business Metrics
Georges Dupret, Konstantin Sozinov, Carmen Barcena Gonzalez, Ziggy Zacks, Amber Yuan, Ben Carterette, Manuel Mai, Andrey Gatash, Gwo Liang Lien, Shubham Bansal, Roberto Sanchis-Ojeda, Mounia Lalmas
Aug 5, 2025|KDD
Optimising Budget Management via Primal-Dual Approximation with Constrained Polynomial Weights Update
Dmitrii Moor, Per Berglund, Hannes Karlbom, Zhenwen Dai, Kyle Kretschman, Mounia Lalmas

Explore our publications and scientific contributions

Measuring Uncertainty Calibration

A Bayesian Information Theoretic Approach to Data Attribution

A Gaussian Process View on Observation Noise and Initialization in Wide Neural Networks

PulseSearch: Modeling Long- and Short-term Patterns for Personalized Music Search Suggestions

Cold-Starting Podcast Ads and Promotions with Multi-Task Learning on Spotify

Spillover Detection for Donor Selection in Synthetic Control Models

Learning Optimal Personalised Reservation Prices in Impression Ad Auctions with Mixture Density Networks

LLARK : A Multimodal Instruction-Following Language Model for Music

Calibrated Recommendations with Contextual Bandits

Evaluating Podcast Recommendations with Profile-Aware LLM-as-a-Judge

Semantic IDs for Joint Generative Search and Recommendation

AudioBoost: Increasing Audiobook Retrievability in Spotify Search with Synthetic Query Generation

Generalized User Representations for Large-Scale Recommendations and Downstream Tasks

Prompt-to-Slate: Diffusion Models for Prompt-Conditioned Slate Generation

You Say Search, I Say Recs: A Scalable Agentic Approach to Query Understanding and Exploratory Search at Spotify

Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations

Scaling Transformer-based Text-to-Speech with Knowledge Distillation

An Audio-centric Multi-task Learning Framework for Streaming Ads Targeting on Spotify

ForTune: Running Offline Scenarios to Estimate Impact on Business Metrics

Optimising Budget Management via Primal-Dual Approximation with Constrained Polynomial Weights Update