Publications

  • C. L. Mattos, Z. Dai, A. Damianou, G. Barreto, N. Lawrence (2017)
    "Deep recurrent Gaussian processes for outlier-robust system identification."
    Journal of Process Control [PDF] [bib]

  • M. Jin, A. Damianou, P. Abbeel, C. Spanos (2017)
    "Inverse Reinforcement Learning via Deep Gaussian Process."
    Uncertainty in Artificial Intelligence (UAI), 2017. (To appear) Preprint: arXiv:1512.08065 [PDF] [bib]

  • B. Van Niekerk, A. Damianou, B. Rosman (2017)
    "Online Constrained Model-based Reinforcement Learning."
    Uncertainty in Artificial Intelligence (UAI) [Oral Presentation], 2017. (To appear) [PDF] [bib]

  • J. Gonzalez, Z. Dai, A. Damianou, N. Lawrence (2017)
    "Preferential Bayesian Optimization."
    arXiv:1704.03651 [PDF] [bib]

  • P. Perdikaris, M. Raissi, A. Damianou, N. Lawrence, G. E. Karniadakis (2017)
    "Nonlinear information fusion algorithms for robust multi-fidelity modeling."
    Proceedings of the Royal Society A. [PDF] [bib]

  • C. Moulin-Frier*, T. Fischer*, M. Petit, G. Pointeau, J. Puigbo, U. Pattacini, S. Low, D. Camilleri, P. Nguyen, M. Hoffmann, H. Chang, M. Zambelli, A. Mealier, A. Damianou, G. Metta, T. Prescott, Y. Demiris, P. Dominey, P. Verschure (2017)
    "DAC-h3: A Proactive Robot Cognitive Architecture to Acquire and Express Knowledge About the World and the Self."
    arXiv preprint arXiv:1706.03661 [PDF]

  • J. Gonzalez, Z. Dai, A. Damianou, N. Lawrence (2016)
    "Bayesian Optimisation with Pairwise Preferential Returns."
    NIPS workshop on Bayesian Optimization. [PDF] [bib]

  • A. Damianou, N. Lawrence, C. Ek. (2017)
    "Manifold Alignment Determination: finding correspondences across different data views."
    arXiv [PDF] [bib]

  • A. Damianou, N. Lawrence, C. H. Ek. (2016)
    "Multi-view Learning as a Nonparametric Nonlinear Inter-Battery Factor Analysis."
    arXiv. [PDF] [bib]

  • D. Camilleri, A. Damianou, H. Jackson, N. Lawrence, T. Prescott. (2016)
    "iCub Visual Memory Inspector: Visualising the iCub's Thoughts."
    5th International Conference on Biomimetic and Biohybrid Systems (Living Machines). [PDF]

  • D. Camilleri, L. Boorman, U. Martinez, A. Damianou, T. Prescott. (2016)
    "A Bioinspired Approach to Vision."
    The 17th Towards Autonomous Robotic Systems conference (TAROS). [PDF]

  • U. Martinez-Hernandez, A. Damianou, D. Camilleri, L. W. Boorman, N. Lawrence, T. J. Prescott. (2016)
    "Integrated probabilistic framework for robot perception, learning and memory."
    2015 IEEE International Conference on Robotics and Biomimetics (ROBIO). [bib]

  • C. L. Mattos, A. Damianou, G. Barreto, N. Lawrence. (2016)
    "Latent Autoregressive Gaussian Process Models for Robust System Identification."
    11th IFAC Symposium on Dynamics and Control of Process System [Oral presentation] (DYCOPS).
    [PDF] [bib]

  • Z. Dai, A. Damianou, J. Gonzalez, N. Lawrence. (2016)
    "Variational Auto-encoded Deep Gaussian Processes."
    International Conference on Learning Representations (ICLR). [PDF] [bib]

  • C. Mattos, Z. Dai, A. Damianou, N. Lawrence. (2016)
    "Recurrent Gaussian Processes."
    International Conference on Learning Representations (ICLR). [PDF] [bib]

  • A. Damianou*, M. Titsias* and N. Lawrence. (2016)
    "Variational Inference for Latent Variables and Uncertain Inputs in Gaussian Processes."
    Journal of Machine Learning Research (JMLR). [PDF] [bib]
    (Previous version entitled: "Variational Inference for Uncertainty on the Inputs of Gaussian Process Models")

  • Y. Bekiroglu, A. Damianou, R. Detry, J. A. Stork, D. Kragic, C. H. Ek. (2016)
    "Probabilistic Consolidation of Grasp Experience."
    IEEE Conference on Robotics and Automation (ICRA).

  • A. Damianou, N. Lawrence, C. Ek. (2015)
    "Manifold Alignment Determination."
    NIPS workshop on Multi-Modal Machine Learning [PDF] [bib]

  • U. Martinez-Hernandez, L. Boorman, A. Damianou, and T. Prescott. (2015)
    "Cognitive architecture for robot perception and learning based on human-robot interaction"
    IEEE/RSJ IROS 2015 Workshops [PDF] [bib]

  • A. Damianou and N. Lawrence. (2015)
    "Semi-described and semi-supervised learning with Gaussian processes."
    Uncertainty in Artificial Intelligence (UAI), 2015. [PDF] [Suppl. PDF] [bib]

  • A. Damianou, C. H. Ek, L. Boorman, N. Lawrence, T. Prescott. (2015)
    "A top-down approach for a synthetic autobiographical memory system."
    4th International Conference on Biomimetic and Biohybrid Systems (Living Machines)
    (Oral presentation). [PDF preprint] [bib]

  • L. Boorman, A. Damianou, U. Martinez-Hernandez, T. Prescott. (2015)
    "Extending a hippocampal model for navigation around a maze generated from real-world data."
    4th International Conference on Biomimetic and Biohybrid Systems (Living Machines). [PDF] [bib]

  • A. Damianou and N. Lawrence. (2014)
    "Uncertainty Propagation in Gaussian Process Pipelines."
    NIPS workshop on modern non-parametrics. [PDF] [bib (conference version)]

  • Z. Dai, A. Damianou, J. Hensman and N. Lawrence. (2014)
    "Gaussian Process Models with Parallelization and GPU acceleration."
    NIPS workshop on Software Engineering for Machine Learning. [arXiv] [bib]

  • D. Vasisht, A. Damianou, M. Varma and A. Kapoor. (2014)
    "Active Learning for Sparse Bayesian Multilabel Classification."
    ACM SIGKDD conference on knowledge discovery and data mining, KDD. [PDF] [bib]

  • A. Damianou and N. D. Lawrence. (2013)
    "Deep Gaussian Processes."
    AISTATS, 2013. [Abstract] [PDF] [Code] [Details] [bib]

  • C. Zhang, C. H. Ek, A. Damianou, H. Kjellstrom. (2013)
    "Factorized Topic Models."
    International Conference on Learning Representations (ICLR). [http] [bib]

  • A. Damianou and N. D. Lawrence. (2012)
    "Deep Gaussian Processes."
    NIPS workshop on deep learning. [http]

  • A. Damianou, C. H. Ek, M. K. Titsias and N. D. Lawrence. (2012)
    "Manifold Relevance Determination."
    International Conference on Machine Learning (ICML).
    [Abstract] [PDF] [Suppl. Videos] [Suppl. PDF] [Talk] [Poster] [Code] [Details] [bib]

  • A. Damianou, M. K. Titsias and N. D. Lawrence. (2011)
    "Variational Gaussian Process Dynamical Systems."
    Advances in Neural Information Processing Systems (NIPS).
    [Abstract] [PDF] [Suppl. PDF] [Suppl. Videos] [Code] [Details] [bib]




Other Publications

  • J. Hensman, A. Damianou and N. Lawrence. (2014)
    "Deep Gaussian Processes for Large Datasets."
    Late Breaking Poster, AISTATS. [PD F] [Poster] [bib]

* Joint first author.



Theses

  • A. Damianou. (2015)
    "Deep Gaussian Processes and Variational Propagation of Uncertainty."
    PhD Thesis, The University of Sheffield. Supervised by Prof. Neil Lawrence.
    [PDF] [Details] [bib]

  • A. Damianou. (2009)
    "Visual Object Categorization using Topic Models."
    M.Sc. Thesis, School of Informatics, The University of Edinburgh. Supervised by Dr. Frank Keller.
    [PDF] [bib]