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Andreas Damianou

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Towards Graph Foundation Models for Personalization

Mar 12, 2024
Andreas Damianou, Francesco Fabbri, Paul Gigioli, Marco De Nadai, Alice Wang, Enrico Palumbo, Mounia Lalmas

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Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks

Mar 08, 2024
Marco De Nadai, Francesco Fabbri, Paul Gigioli, Alice Wang, Ang Li, Fabrizio Silvestri, Laura Kim, Shawn Lin, Vladan Radosavljevic, Sandeep Ghael, David Nyhan, Hugues Bouchard, Mounia Lalmas-Roelleke, Andreas Damianou

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Fast Adaptation with Linearized Neural Networks

Mar 02, 2021
Wesley J. Maddox, Shuai Tang, Pablo Garcia Moreno, Andrew Gordon Wilson, Andreas Damianou

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Tomographic Auto-Encoder: Unsupervised Bayesian Recovery of Corrupted Data

Jun 30, 2020
Francesco Tonolini, Pablo G. Moreno, Andreas Damianou, Roderick Murray-Smith

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Empirical Bayes Transductive Meta-Learning with Synthetic Gradients

Apr 27, 2020
Shell Xu Hu, Pablo G. Moreno, Yang Xiao, Xi Shen, Guillaume Obozinski, Neil D. Lawrence, Andreas Damianou

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Online Constrained Model-based Reinforcement Learning

Apr 07, 2020
Benjamin van Niekerk, Andreas Damianou, Benjamin Rosman

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Similarity of Neural Networks with Gradients

Mar 25, 2020
Shuai Tang, Wesley J. Maddox, Charlie Dickens, Tom Diethe, Andreas Damianou

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ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems

Dec 01, 2019
Bharathan Balaji, Jordan Bell-Masterson, Enes Bilgin, Andreas Damianou, Pablo Moreno Garcia, Arpit Jain, Runfei Luo, Alvaro Maggiar, Balakrishnan Narayanaswamy, Chun Ye

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Variational Information Distillation for Knowledge Transfer

Apr 11, 2019
Sungsoo Ahn, Shell Xu Hu, Andreas Damianou, Neil D. Lawrence, Zhenwen Dai

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