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Theofanis Karaletsos
Theofanis Karaletsos
Research Scientist, Facebook
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Citado por
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Año
Pyro: Deep universal probabilistic programming
E Bingham, JP Chen, M Jankowiak, F Obermeyer, N Pradhan, ...
The Journal of Machine Learning Research 20 (1), 973-978, 2019
6302019
Conditional similarity networks
A Veit, S Belongie, T Karaletsos
Proceedings of the IEEE conference on computer vision and pattern …, 2017
1292017
RiboDiff: detecting changes of mRNA translation efficiency from ribosome footprints
Y Zhong, T Karaletsos, P Drewe, VT Sreedharan, D Kuo, K Singh, ...
Bioinformatics 33 (1), 139-141, 2017
1252017
Bayesian representation learning with oracle constraints
T Karaletsos, S Belongie, G Rätsch
ICLR 2016, 2015
922015
Likelihood-free inference with emulator networks
JM Lueckmann, G Bassetto, T Karaletsos, JH Macke
Symposium on Advances in Approximate Bayesian Inference, 32-53, 2019
722019
An empirical analysis of topic modeling for mining cancer clinical notes
KR Chan, X Lou, T Karaletsos, C Crosbie, S Gardos, D Artz, G Rätsch
2013 IEEE 13th International Conference on Data Mining Workshops, 56-63, 2013
372013
Adversarial message passing for graphical models
T Karaletsos
Advances in Approximate Inference Workshop (AABI) at Neurips 2016, 2016
232016
Probabilistic meta-representations of neural networks
T Karaletsos, P Dayan, Z Ghahramani
arXiv preprint arXiv:1810.00555, 2018
202018
Hierarchical Gaussian Process Priors for Bayesian Neural Network Weights
T Karaletsos, TD Bui
Neural Information Processing Systems (NeurIPS) 2020, 2020
19*2020
Generalized Hidden Parameter MDPs Transferable Model-based RL in a Handful of Trials
CF Perez, FP Such, T Karaletsos
AAAI Conference on Artificial Intelligence 2020, 2020
192020
Pathwise Derivatives for Multivariate Distributions
M Jankowiak, T Karaletsos
AISTATS 2019, 2018
112018
Efficient transfer learning and online adaptation with latent variable models for continuous control
CF Perez, FP Such, T Karaletsos
Workshop on Continual Learning Neurips 2018, 2018
102018
A generative model of words and relationships from multiple sources
SL Hyland, T Karaletsos, G Rätsch
AAAI'16: Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2015
92015
Automatic relevance determination for deep generative models
T Karaletsos, G Rätsch
arXiv preprint arXiv:1505.07765, 2015
92015
ShapePheno: unsupervised extraction of shape phenotypes from biological image collections
T Karaletsos, O Stegle, C Dreyer, J Winn, KM Borgwardt
Bioinformatics 28 (7), 1001-1008, 2012
92012
Variational Auto-Regressive Gaussian Processes for Continual Learning
S Kapoor, T Karaletsos, TD Bui
International Conference on Machine Learning 2021 ; arXiv preprint arXiv …, 2020
82020
Applying SVGD to Bayesian Neural Networks for Cyclical Time-Series Prediction and Inference
X Hu, P Szerlip, T Karaletsos, R Singh
Bayesian Deep Learning Workshop at Neurips 2018, 2019
62019
Stochastic Aggregation in Graph Neural Networks
Y Wang, T Karaletsos
arXiv preprint arXiv:2102.12648, 2021
22021
Event detection using sensor data
NP Volk, T Karaletsos, U Madhow, JB Yosinski, TR Sumers
US Patent App. 16/233,779, 2019
22019
Knowledge transfer with medical language embeddings
SL Hyland, T Karaletsos, G Rätsch
arXiv preprint arXiv:1602.03551, 2016
22016
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