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Theofanis Karaletsos
Theofanis Karaletsos
VP of ML, Insitro
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Titel
Zitiert von
Zitiert von
Jahr
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
11312019
Conditional similarity networks
A Veit, S Belongie, T Karaletsos
Proceedings of the IEEE conference on computer vision and pattern …, 2017
1802017
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
1482017
Likelihood-free inference with emulator networks
JM Lueckmann, G Bassetto, T Karaletsos, JH Macke
Symposium on Advances in Approximate Bayesian Inference, 32-53, 2019
1162019
Bayesian representation learning with oracle constraints
T Karaletsos, S Belongie, G Rätsch
International Conference On Learning Representations (ICLR) 2016, 2015
1142015
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
422013
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
382020
Hierarchical Gaussian Process Priors for Bayesian Neural Network Weights
T Karaletsos, TD Bui
Neural Information Processing Systems (NeurIPS) 2020, 2020
282020
Probabilistic meta-representations of neural networks
T Karaletsos, P Dayan, Z Ghahramani
arXiv preprint arXiv:1810.00555, 2018
252018
Adversarial message passing for graphical models
T Karaletsos
Advances in Approximate Inference Workshop (AABI) at Neurips 2016, 2016
232016
Variational Auto-Regressive Gaussian Processes for Continual Learning
S Kapoor, T Karaletsos, TD Bui
International Conference on Machine Learning 2021 ; arXiv preprint arXiv …, 2020
212020
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
182018
Pathwise Derivatives for Multivariate Distributions
M Jankowiak, T Karaletsos
AISTATS 2019, 2018
152018
Event detection using sensor data
NP Volk, T Karaletsos, U Madhow, JB Yosinski, TR Sumers
US Patent App. 16/233,779, 2019
102019
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
TyXe: Pyro-based Bayesian neural nets for Pytorch
H Ritter, T Karaletsos
Proceedings of Machine Learning and Systems 4, 398-413, 2022
82022
Representations of units in neural networks
T Karaletsos, P Dayan, Z Ghahramani
US Patent App. 16/356,991, 2019
72019
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
72019
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