Refereed Publications

  • 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 -- to appear). [PDF] [bib]

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

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

  • Y. Bekiroglu, R. Detry, A. Damianou, J. A. Stork, D. Kragic, C. H. Ek. (2015)
    "Probabilistic Consolidation of Grasp Experience."
    IEEE Conference on Robotics and Automation (ICRA -- to appear).

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

  • C. Mattos, A. Damianou, G. Barreto, N. Lawrence. (2015)
    "Latent Autoregressive Gaussian Process Models for Robust System Identification." In Submission.

  • A. Damianou*, M. Titsias* and N. Lawrence. (2015)
    "Variational Inference for Latent Variables and Uncertain Inputs in Gaussian Processes."
    Journal of Machine Learning Research (JMLR) -- In press. [PDF preprint] [bib]
    (Previous version entitled: "Variational Inference for Uncertainty on the Inputs of Gaussian Process Models")

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

  • A. C. 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. C. 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. C. 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. C. 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]