Theofanis Karaletsos
Theofanis Karaletsos
Research Scientist, Facebook
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Cited by
Cited by
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
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
Conditional similarity networks
A Veit, S Belongie, T Karaletsos
Proceedings of the IEEE conference on computer vision and pattern …, 2017
Bayesian representation learning with oracle constraints
T Karaletsos, S Belongie, G Rätsch
ICLR 2016, 2015
Likelihood-free inference with emulator networks
JM Lueckmann, G Bassetto, T Karaletsos, JH Macke
Symposium on Advances in Approximate Bayesian Inference, 32-53, 2019
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
Adversarial message passing for graphical models
T Karaletsos
Advances in Approximate Inference Workshop (AABI) at Neurips 2016, 2016
Probabilistic meta-representations of neural networks
T Karaletsos, P Dayan, Z Ghahramani
arXiv preprint arXiv:1810.00555, 2018
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
Hierarchical Gaussian Process Priors for Bayesian Neural Network Weights
T Karaletsos, TD Bui
Neural Information Processing Systems (NeurIPS) 2020, 2020
Pathwise Derivatives for Multivariate Distributions
M Jankowiak, T Karaletsos
AISTATS 2019, 2018
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
Automatic relevance determination for deep generative models
T Karaletsos, G Rätsch
arXiv preprint arXiv:1505.07765, 2015
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
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
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
Event detection using sensor data
NP Volk, T Karaletsos, U Madhow, JB Yosinski, TR Sumers
US Patent App. 16/233,779, 2019
Knowledge transfer with medical language embeddings
SL Hyland, T Karaletsos, G Rätsch
arXiv preprint arXiv:1602.03551, 2016
Bayesian Poisson factorization for genetic associations with clinical features in cancer
MF Pradier, T Karaletsos, S Stark, JE Vogt, G Rätsch, F Perez-Cruz
Machine Learning for Healthcare Workshop in Neural Information Processing …, 2015
Localized Uncertainty Attacks
OA Dia, T Karaletsos, C Hazirbas, CC Ferrer, IK Kabul, E Meijer
arXiv preprint arXiv:2106.09222, 2021
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