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Author search results
Exact matches
- Andreas Damianou
aka: Andreas C. Damianou
Spotify
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Publication search results
found 52 matches
- 2024
- Andreas Damianou
, Francesco Fabbri
, Paul Gigioli
, Marco De Nadai
, Alice Wang
, Enrico Palumbo
, Mounia Lalmas
:
Towards Graph Foundation Models for Personalization. WWW (Companion Volume) 2024: 1798-1802 - 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
, Andreas Damianou
:
Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks. WWW (Companion Volume) 2024: 403-412 - 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:
Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks. CoRR abs/2403.05185 (2024) - Andreas Damianou, Francesco Fabbri, Paul Gigioli, Marco De Nadai, Alice Wang
, Enrico Palumbo, Mounia Lalmas:
Towards Graph Foundation Models for Personalization. CoRR abs/2403.07478 (2024) - Andrea Bacciu, Enrico Palumbo, Andreas Damianou, Nicola Tonellotto, Fabrizio Silvestri:
Generating Query Recommendations via LLMs. CoRR abs/2405.19749 (2024) - 2023
- Antria Filippou
, Andreas Georgiou
, Anastasia Nikolaou
, Nikolas Evripidou
, Christakis Damianou:
Advanced software for MRgFUS treatment planning. Comput. Methods Programs Biomed. 240: 107726 (2023) - Enrico Palumbo
, Andreas Damianou
, Alice Wang
, Alva Liu, Ghazal Fazelnia
, Francesco Fabbri
, Rui Ferreira
, Fabrizio Silvestri
, Hugues Bouchard
, Claudia Hauff
, Mounia Lalmas
, Ben Carterette
, Praveen Chandar
, David Nyhan
:
Graph Learning for Exploratory Query Suggestions in an Instant Search System. CIKM 2023: 4780-4786 - 2021
- Andreas C. Damianou, Neil D. Lawrence, Carl Henrik Ek:
Multi-view Learning as a Nonparametric Nonlinear Inter-Battery Factor Analysis. J. Mach. Learn. Res. 22: 86:1-86:51 (2021) - Wesley J. Maddox, Shuai Tang, Pablo Garcia Moreno, Andrew Gordon Wilson, Andreas C. Damianou:
Fast Adaptation with Linearized Neural Networks. AISTATS 2021: 2737-2745 - Francesco Tonolini, Pablo Garcia Moreno, Andreas C. Damianou, Roderick Murray-Smith:
Tomographic Auto-Encoder: Unsupervised Bayesian Recovery of Corrupted Data. ICLR 2021 - Wesley J. Maddox, Shuai Tang, Pablo Garcia Moreno, Andrew Gordon Wilson, Andreas C. Damianou:
Fast Adaptation with Linearized Neural Networks. CoRR abs/2103.01439 (2021) - 2020
- Shell Xu Hu, Pablo Garcia Moreno, Yang Xiao, Xi Shen, Guillaume Obozinski, Neil D. Lawrence, Andreas C. Damianou:
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients. ICLR 2020 - Shuai Tang, Wesley J. Maddox, Charlie Dickens, Tom Diethe, Andreas C. Damianou:
Similarity of Neural Networks with Gradients. CoRR abs/2003.11498 (2020) - Benjamin van Niekerk, Andreas C. Damianou, Benjamin Rosman:
Online Constrained Model-based Reinforcement Learning. CoRR abs/2004.03499 (2020) - Shell Xu Hu, Pablo Garcia Moreno, Yang Xiao
, Xi Shen, Guillaume Obozinski, Neil D. Lawrence, Andreas C. Damianou:
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients. CoRR abs/2004.12696 (2020) - Francesco Tonolini, Pablo Garcia Moreno, Andreas C. Damianou, Roderick Murray-Smith:
Tomographic Auto-Encoder: Unsupervised Bayesian Recovery of Corrupted Data. CoRR abs/2006.16938 (2020) - 2019
- Sungsoo Ahn, Shell Xu Hu, Andreas C. Damianou, Neil D. Lawrence, Zhenwen Dai:
Variational Information Distillation for Knowledge Transfer. CVPR 2019: 9163-9171 - Sebastian Flennerhag, Pablo Garcia Moreno, Neil D. Lawrence, Andreas C. Damianou:
Transferring Knowledge across Learning Processes. ICLR 2019 - Kurt Cutajar, Mark Pullin, Andreas C. Damianou, Neil D. Lawrence, Javier González:
Deep Gaussian Processes for Multi-fidelity Modeling. CoRR abs/1903.07320 (2019) - Sungsoo Ahn, Shell Xu Hu, Andreas C. Damianou, Neil D. Lawrence, Zhenwen Dai:
Variational Information Distillation for Knowledge Transfer. CoRR abs/1904.05835 (2019) - Bharathan Balaji, Jordan Bell-Masterson, Enes Bilgin, Andreas C. Damianou, Pablo Moreno Garcia, Arpit Jain, Runfei Luo, Alvaro Maggiar, Balakrishnan Narayanaswamy, Chun Ye:
ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems. CoRR abs/1911.10641 (2019) - 2018
- Clément Moulin-Frier
, Tobias Fischer
, Maxime Petit, Grégoire Pointeau, Jordi-Ysard Puigbo, Ugo Pattacini
, Sock Ching Low
, Daniel Camilleri, Phuong D. H. Nguyen, Matej Hoffmann
, Hyung Jin Chang
, Martina Zambelli
, Anne-Laure Mealier, Andreas C. Damianou, Giorgio Metta
, Tony J. Prescott
, Yiannis Demiris
, Peter Ford Dominey, Paul F. M. J. Verschure:
DAC-h3: A Proactive Robot Cognitive Architecture to Acquire and Express Knowledge About the World and the Self. IEEE Trans. Cogn. Dev. Syst. 10(4): 1005-1022 (2018) - Jie Yang
, Thomas Drake, Andreas C. Damianou, Yoelle Maarek:
Leveraging Crowdsourcing Data for Deep Active Learning An Application: Learning Intents in Alexa. WWW 2018: 23-32 - Jie Yang, Thomas Drake, Andreas C. Damianou, Yoelle Maarek:
Leveraging Crowdsourcing Data For Deep Active Learning - An Application: Learning Intents in Alexa. CoRR abs/1803.04223 (2018) - Vinayak Kumar, Vaibhav Singh, P. K. Srijith, Andreas C. Damianou:
Deep Gaussian Processes with Convolutional Kernels. CoRR abs/1806.01655 (2018) - Sebastian Flennerhag, Pablo Garcia Moreno, Neil D. Lawrence, Andreas C. Damianou:
Transferring Knowledge across Learning Processes. CoRR abs/1812.01054 (2018) - 2017
- Javier González, Zhenwen Dai, Andreas C. Damianou, Neil D. Lawrence:
Preferential Bayesian Optimization. ICML 2017: 1282-1291 - Ming Jin, Andreas C. Damianou, Pieter Abbeel, Costas J. Spanos:
Inverse Reinforcement Learning via Deep Gaussian Process. UAI 2017 - Benjamin van Niekerk, Andreas C. Damianou, Benjamin Rosman:
Online Constrained Model-based Reinforcement Learning. UAI 2017 - Andreas C. Damianou, Neil D. Lawrence, Carl Henrik Ek:
Manifold Alignment Determination: finding correspondences across different data views. CoRR abs/1701.03449 (2017)
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