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Andreas Damianou

University of Sheffield

Fast Adaptation with Linearized Neural Networks


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

* AISTATS 2021 

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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

* 8+12 pages 

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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

* ICLR 2020 

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Online Constrained Model-based Reinforcement Learning


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

* Van Niekerk, Benjamin, Andreas Damianou, and Benjamin S. Rosman. "Online constrained model-based reinforcement learning." (2017) 
* Conf. Uncertainty in Artificial Intelligence (UAI). 2017 

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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

* To appear at CVPR 2019 

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Deep Gaussian Processes for Multi-fidelity Modeling


Mar 18, 2019
Kurt Cutajar, Mark Pullin, Andreas Damianou, Neil Lawrence, Javier González


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Transferring Knowledge across Learning Processes


Dec 03, 2018
Sebastian Flennerhag, Pablo G. Moreno, Neil D. Lawrence, Andreas Damianou

* 22 pages, 8 figures, 6 tables 

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Deep Gaussian Processes with Convolutional Kernels


Jun 05, 2018
Vinayak Kumar, Vaibhav Singh, P. K. Srijith, Andreas Damianou


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Leveraging Crowdsourcing Data For Deep Active Learning - An Application: Learning Intents in Alexa


Mar 12, 2018
Jie Yang, Thomas Drake, Andreas Damianou, Yoelle Maarek


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DAC-h3: A Proactive Robot Cognitive Architecture to Acquire and Express Knowledge About the World and the Self


Sep 18, 2017
Clément Moulin-Frier, Tobias Fischer, Maxime Petit, Grégoire Pointeau, Jordi-Ysard Puigbo, Ugo Pattacini, Sock Ching Low, Daniel Camilleri, Phuong Nguyen, Matej Hoffmann, Hyung Jin Chang, Martina Zambelli, Anne-Laure Mealier, Andreas Damianou, Giorgio Metta, Tony J. Prescott, Yiannis Demiris, Peter Ford Dominey, Paul F. M. J. Verschure

* IEEE Transactions on Cognitive and Developmental Systems (2017) 
* Preprint version; final version available at http://ieeexplore.ieee.org/ IEEE Transactions on Cognitive and Developmental Systems (Accepted) DOI: 10.1109/TCDS.2017.2754143 

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Inverse Reinforcement Learning via Deep Gaussian Process


May 04, 2017
Ming Jin, Andreas Damianou, Pieter Abbeel, Costas Spanos


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Preferential Bayesian Optimization


Apr 12, 2017
Javier Gonzalez, Zhenwen Dai, Andreas Damianou, Neil D. Lawrence

* 10 pages, 6 figures 

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Manifold Alignment Determination: finding correspondences across different data views


Jan 12, 2017
Andreas Damianou, Neil D. Lawrence, Carl Henrik Ek

* NIPS workshop on Multi-Modal Machine Learning, 2015 

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Multi-view Learning as a Nonparametric Nonlinear Inter-Battery Factor Analysis


Apr 17, 2016
Andreas Damianou, Neil D. Lawrence, Carl Henrik Ek

* 49 pages including appendix 

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Variational Auto-encoded Deep Gaussian Processes


Feb 29, 2016
Zhenwen Dai, Andreas Damianou, Javier González, Neil Lawrence


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Recurrent Gaussian Processes


Feb 24, 2016
CĂ©sar Lincoln C. Mattos, Zhenwen Dai, Andreas Damianou, Jeremy Forth, Guilherme A. Barreto, Neil D. Lawrence

* Published as a conference paper at ICLR 2016. 12 pages, 3 figures 

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Semi-described and semi-supervised learning with Gaussian processes


Sep 03, 2015
Andreas Damianou, Neil D. Lawrence

* Published in the proceedings for Uncertainty in Artificial Intelligence (UAI), 2015 

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Gaussian Process Models with Parallelization and GPU acceleration


Oct 18, 2014
Zhenwen Dai, Andreas Damianou, James Hensman, Neil Lawrence


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Factorized Topic Models


Apr 23, 2013
Cheng Zhang, Carl Henrik Ek, Andreas Damianou, Hedvig Kjellstrom

* ICLR 2013 

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Manifold Relevance Determination


Jun 18, 2012
Andreas Damianou, Carl Ek, Michalis Titsias, Neil Lawrence

* ICML2012 

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