Silvia Chiappa
Silvia Chiappa
Staff Research Scientist, DeepMind
Adresse e-mail validée de google.com - Page d'accueil
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Bayesian time series models
D Barber, AT Cemgil, S Chiappa
Cambridge University Press, 2011
2352011
HMM and IOHMM modeling of EEG rhythms for asynchronous BCI systems
S Chiappa, S Bengio
12th European Symposium on Artificial Neural Networks (ESANN), 199-204, 2004
1212004
Recurrent environment simulators
S Chiappa, S Racaniere, D Wierstra, S Mohamed
International Conference on Learning Representations (ICLR), 2017
1142017
Path-specific counterfactual fairness
S Chiappa
AAAI Conference on Artificial Intelligence (AAAI), 7801-7808, 2019
542019
Movement extraction by detecting dynamics switches and repetitions
S Chiappa, JR Peters
Advances in Neural Information Processing Systems (NeurIPS), 388-396, 2010
542010
Unified inference for variational Bayesian linear Gaussian state-space models
D Barber, S Chiappa
Advances in Neural Information Processing Systems (NeurIPS), 81-88, 2007
492007
EEG classification using generative independent component analysis
S Chiappa, D Barber
Neurocomputing 69 (7-9), 769-777, 2006
482006
Using Bayesian dynamical systems for motion template libraries
S Chiappa, J Kober, JR Peters
Advances in Neural Information Processing Systems (NeurIPS), 297-304, 2009
252009
Causal reasoning from meta-reinforcement learning
I Dasgupta, J Wang, S Chiappa, J Mitrovic, P Ortega, D Raposo, ...
arXiv preprint arXiv:1901.08162, 2019
182019
Wasserstein fair classification
R Jiang, A Pacchiano, T Stepleton, H Jiang, S Chiappa
Conference on Uncertainty in Artificial Intelligence (UAI), 2019
172019
Explicit-duration Markov switching models
S Chiappa
Foundations and Trends in Machine Learning, 2019
162019
Degenerate feedback loops in recommender systems
R Jiang, S Chiappa, T Lattimore, A Agyorgy, P Kohli
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2019
162019
Analysis and classification of EEG signals using probabilistic models for brain computer interfaces
S Chiappa
Verlag nicht ermittelbar, 2006
162006
Generative independent component analysis for EEG classification
S Chiappa, D Barber
13th European Symposium on Artificial Neural Networks (ESANN), 2005
162005
Spatial filtering in the training process of a brain computer interface
J Mouriño, J del R Millan, F Cincotti, S Chiappa, R Jané, F Babiloni
2001 Conference Proceedings of the 23rd Annual International Conference of …, 2001
142001
Results of the BCI Competition III
B Blankertz, G Dornhege, KR Müller, G Schalk, D Krusienski, JR Wolpaw, ...
BCI Meeting, 30, 2005
132005
Meta-learning of sequential strategies
PA Ortega, JX Wang, M Rowland, T Genewein, Z Kurth-Nelson, ...
arXiv preprint arXiv:1905.03030, 2019
122019
Inference and estimation in probabilistic time series models
D Barber, AT Cemgil, S Chiappa
Bayesian Time Series Models 1, 2011
112011
Data set V< mental imagery, multi-class>
S Chiappa, JR Millán
Available at: h http://ida. first. fraunhofer. de/projects/bci …, 2005
112005
A probabilistic model of biological ageing of the lungs for analysing the effects of smoking, asthma and COPD
S Chiappa, J Winn, A Viñuela, H Tipney, TD Spector
Respiratory Research 14 (1), 60, 2013
102013
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