Theofanis Karaletsos
Theofanis Karaletsos
Research Scientist, Facebook
Verified email at fb.com - Homepage
Title
Cited by
Cited by
Year
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
2432019
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
892017
Conditional similarity networks
A Veit, S Belongie, T Karaletsos
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
692017
Bayesian representation learning with oracle constraints
T Karaletsos, S Belongie, G Rätsch
ICLR 2016, 2015
492015
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
272013
Likelihood-free inference with emulator networks
JM Lueckmann, G Bassetto, T Karaletsos, JH Macke
Symposium on Advances in Approximate Bayesian Inference, 32-53, 2019
242019
Adversarial message passing for graphical models
T Karaletsos
Advances in Approximate Inference Workshop (AABI) at Neurips 2016, 2016
222016
Probabilistic meta-representations of neural networks
T Karaletsos, P Dayan, Z Ghahramani
arXiv preprint arXiv:1810.00555, 2018
102018
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
92018
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
Automatic relevance determination for deep generative models
T Karaletsos, G Rätsch
arXiv preprint arXiv:1505.07765, 2015
72015
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
62015
Pathwise Derivatives for Multivariate Distributions
M Jankowiak, T Karaletsos
AISTATS 2019, 2018
52018
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
42020
Knowledge transfer with medical language embeddings
SL Hyland, T Karaletsos, G Rätsch
arXiv preprint arXiv:1602.03551, 2016
22016
Hierarchical Gaussian Process Priors for Bayesian Neural Network Weights
T Karaletsos, TD Bui
arXiv preprint arXiv:2002.04033 (accepted at Neurips 2020), 2020
12020
Variational Auto-Regressive Gaussian Processes for Continual Learning
S Kapoor, T Karaletsos, TD Bui
arXiv preprint arXiv:2006.05468, 2020
2020
Representations of units in neural networks
T Karaletsos, P Dayan, Z Ghahramani
US Patent App. 16/356,991, 2019
2019
Event detection using sensor data
NP Volk, T Karaletsos, U Madhow, JB Yosinski, TR Sumers
US Patent App. 16/233,779, 2019
2019
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
2019
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