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Theofanis Karaletsos
Theofanis Karaletsos
Head of AI, CZI-Science
Potvrđena adresa e-pošte na karaletsos.com - Početna stranica
Naslov
Citirano
Citirano
Godina
Pyro: Deep universal probabilistic programming
E Bingham, JP Chen, M Jankowiak, F Obermeyer, N Pradhan, ...
Journal of machine learning research 20 (28), 1-6, 2019
14412019
Conditional similarity networks
A Veit, S Belongie, T Karaletsos
Proceedings of the IEEE conference on computer vision and pattern …, 2017
1962017
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
1752017
Likelihood-free inference with emulator networks
JM Lueckmann, G Bassetto, T Karaletsos, JH Macke
Symposium on Advances in Approximate Bayesian Inference, 32-53, 2019
1422019
Bayesian representation learning with oracle constraints
T Karaletsos, S Belongie, G Rätsch
International Conference On Learning Representations (ICLR) 2016, 2015
1152015
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
452020
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
402013
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI
T Papamarkou, M Skoularidou, K Palla, L Aitchison, J Arbel, D Dunson, ...
Forty-first International Conference on Machine Learning, 2024
37*2024
Variational Auto-Regressive Gaussian Processes for Continual Learning
S Kapoor, T Karaletsos, TD Bui
International Conference on Machine Learning 2021 ; arXiv preprint arXiv …, 2020
332020
Hierarchical Gaussian Process Priors for Bayesian Neural Network Weights
T Karaletsos, TD Bui
Neural Information Processing Systems (NeurIPS) 2020, 2020
332020
Probabilistic meta-representations of neural networks
T Karaletsos, P Dayan, Z Ghahramani
arXiv preprint arXiv:1810.00555, 2018
282018
Adversarial message passing for graphical models
T Karaletsos
Advances in Approximate Inference Workshop (AABI) at Neurips 2016, 2016
252016
Intelligent regularization of neural network architectures
Z Ghahramani, D Bemis, T Karaletsos
US Patent 11,164,076, 2021
212021
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
202018
Modelling Cellular Perturbations with the Sparse Additive Mechanism Shift Variational Autoencoder
M Bereket, T Karaletsos
NeurIPS 2023 / Neural Information Processing Systems 2023, 2023
172023
Pathwise Derivatives for Multivariate Distributions
M Jankowiak, T Karaletsos
AISTATS 2019, 2018
152018
DEL-Dock: Molecular Docking-Enabled Modeling of DNA-Encoded Libraries
K Shmilovich, B Chen, T Karaletsos, MM Sultan
Journal of Chemical Information and Modeling, 2023
142023
Event detection using sensor data
NP Volk, T Karaletsos, U Madhow, JB Yosinski, TR Sumers
US Patent App. 16/233,779, 2019
132019
Representations of units in neural networks
T Karaletsos, P Dayan, Z Ghahramani
US Patent App. 16/356,991, 2019
122019
Channel Vision Transformers: An Image Is Worth C x 16 x 16 Words
Y Bao, S Sivanandan, T Karaletsos
International Conference On Learning Representations (ICLR) 2024, 2023
112023
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