- 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. CoRR abs/1706.03661 (2017) - 2016
- Andreas C. Damianou, Michalis K. Titsias, Neil D. Lawrence:
Variational Inference for Latent Variables and Uncertain Inputs in Gaussian Processes. J. Mach. Learn. Res. 17: 42:1-42:62 (2016) - Yasemin Bekiroglu
, Andreas C. Damianou, Renaud Detry, Johannes A. Stork
, Danica Kragic, Carl Henrik Ek
:
Probabilistic consolidation of grasp experience. ICRA 2016: 193-200 - Daniel Camilleri, Andreas C. Damianou, Harry Jackson, Neil D. Lawrence, Tony J. Prescott
:
iCub Visual Memory Inspector: Visualising the iCub's Thoughts. Living Machines 2016: 48-57 - Uriel Martinez-Hernandez
, Andreas C. Damianou, Daniel Camilleri, Luke W. Boorman, Neil D. Lawrence, Tony J. Prescott
:
An integrated probabilistic framework for robot perception, learning and memory. ROBIO 2016: 1796-1801 - Daniel Camilleri, Luke W. Boorman, Uriel Martinez-Hernandez
, Andreas C. Damianou, Tony J. Prescott
:
A Bioinspired Approach to Vision. TAROS 2016: 40-52 - Zhenwen Dai, Andreas C. Damianou, Javier González, Neil D. Lawrence:
Variational Auto-encoded Deep Gaussian Processes. ICLR (Poster) 2016 - César Lincoln C. Mattos, Zhenwen Dai, Andreas C. Damianou, Jeremy Forth, Guilherme A. Barreto, Neil D. Lawrence:
Recurrent Gaussian Processes. ICLR (Poster) 2016 - Andreas C. Damianou, Neil D. Lawrence, Carl Henrik Ek:
Multi-view Learning as a Nonparametric Nonlinear Inter-Battery Factor Analysis. CoRR abs/1604.04939 (2016) - 2015
- Luke W. Boorman, Andreas C. Damianou, Uriel Martinez-Hernandez
, Tony J. Prescott
:
Extending a Hippocampal Model for Navigation Around a Maze Generated from Real-World Data. Living Machines 2015: 441-452 - Andreas C. Damianou, Carl Henrik Ek, Luke Boorman, Neil D. Lawrence
, Tony J. Prescott
:
A Top-Down Approach for a Synthetic Autobiographical Memory System. Living Machines 2015: 280-292 - Andreas C. Damianou, Neil D. Lawrence:
Semi-described and semi-supervised learning with Gaussian processes. UAI 2015: 228-237 - Andreas C. Damianou, Neil D. Lawrence:
Semi-described and semi-supervised learning with Gaussian processes. CoRR abs/1509.01168 (2015) - 2014
- Deepak Vasisht, Andreas C. Damianou, Manik Varma, Ashish Kapoor:
Active learning for sparse bayesian multilabel classification. KDD 2014: 472-481 - Zhenwen Dai, Andreas C. Damianou, James Hensman, Neil D. Lawrence:
Gaussian Process Models with Parallelization and GPU acceleration. CoRR abs/1410.4984 (2014) - Andreas C. Damianou, Michalis K. Titsias, Neil D. Lawrence:
Variational Inference for Uncertainty on the Inputs of Gaussian Process Models. CoRR abs/1409.2287 (2014) - 2013
- Andreas C. Damianou, Neil D. Lawrence:
Deep Gaussian Processes. AISTATS 2013: 207-215 - 2012
- Andreas C. Damianou, Carl Henrik Ek, Michalis K. Titsias, Neil D. Lawrence:
Manifold Relevance Determination. ICML 2012 - Andreas C. Damianou, Carl Henrik Ek, Michalis K. Titsias, Neil D. Lawrence:
Manifold Relevance Determination. CoRR abs/1206.4610 (2012) - Andreas C. Damianou, Neil D. Lawrence:
Deep Gaussian Processes. CoRR abs/1211.0358 (2012) - 2011
- Andreas C. Damianou, Michalis K. Titsias, Neil D. Lawrence:
Variational Gaussian Process Dynamical Systems. NIPS 2011: 2510-2518 - Andreas C. Damianou, Michalis K. Titsias, Neil D. Lawrence:
Variational Gaussian Process Dynamical Systems. CoRR abs/1107.4985 (2011)