Ardavan Saeedi
Title
Cited by
Cited by
Year
Hierarchical deep reinforcement learning: Integrating temporal abstraction and intrinsic motivation
TD Kulkarni, K Narasimhan, A Saeedi, J Tenenbaum
Advances in neural information processing systems, 3675-3683, 2016
5612016
The prognostic value of BRAF mutation in colorectal cancer and melanoma: a systematic review and meta-analysis
GS Ardekani, SM Jafarnejad, L Tan, A Saeedi, G Li
PloS one 7 (10), e47054, 2012
2202012
Deep successor reinforcement learning
TD Kulkarni, A Saeedi, S Gautam, SJ Gershman
arXiv preprint arXiv:1606.02396, 2016
1112016
Nonparametric spherical topic modeling with word embeddings
K Batmanghelich, A Saeedi, K Narasimhan, S Gershman
Proceedings of the conference. Association for Computational Linguistics …, 2016
632016
Priors over recurrent continuous time processes
A Saeedi, A Bouchard-Côté
Advances in Neural Information Processing Systems, 2052-2060, 2011
292011
Variational particle approximations
A Saeedi, TD Kulkarni, VK Mansinghka, SJ Gershman
The Journal of Machine Learning Research 18 (1), 2328-2356, 2017
21*2017
Learning from noisy labels by regularized estimation of annotator confusion
R Tanno, A Saeedi, S Sankaranarayanan, DC Alexander, N Silberman
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
142019
The segmented iHMM: a simple, efficient hierarchical infinite HMM
A Saeedi, M Hoffman, M Johnson, R Adams
International Conference on Machine Learning, 2682-2691, 2016
142016
Advances in neural information processing systems
TD Kulkarni, K Narasimhan, A Saeedi, J Tenenbaum
82016
Generative method to discover genetically driven image biomarkers
NK Batmanghelich, A Saeedi, M Cho, RSJ Estepar, P Golland
International Conference on Information Processing in Medical Imaging, 30-42, 2015
72015
Jump-means: Small-variance asymptotics for Markov jump processes
JH Huggins, K Narasimhan, A Saeedi, VK Mansinghka
arXiv preprint arXiv:1503.00332, 2015
62015
Multimodal prediction and personalization of photo edits with deep generative models
A Saeedi, M Hoffman, S DiVerdi, A Ghandeharioun, M Johnson, R Adams
International Conference on Artificial Intelligence and Statistics, 1309-1317, 2018
52018
Explaingan: Model explanation via decision boundary crossing transformations
P Samangouei, A Saeedi, L Nakagawa, N Silberman
Proceedings of the European Conference on Computer Vision (ECCV), 666-681, 2018
42018
Variational particle approximations
A Saeedi, TD Kulkarni, V Mansinghka, S Gershman
arXiv preprint arXiv:1402.5715, 2014
22014
Automatic Inference for Inverting Software Simulators via Probabilistic Programming
A Saeedi, V Firoiu, V Mansinghka
arXiv preprint arXiv:1506.00308, 2015
12015
GENERATING MULTIMODAL IMAGE EDITS
S Diverdi, MD Hoffman, A Saeedi
US Patent App. 16/784,989, 2020
2020
Generating multimodal image edits for a digital image
S DiVerdi, MD Hoffman, A Saeedi
US Patent 10,592,776, 2020
2020
Methods and apparatuses for guiding collection of ultrasound data using motion and/or orientation data
T Gafner, I Lovchinsky, A Saeedi
US Patent App. 16/669,443, 2020
2020
Methods and apparatuses for guiding collection of ultrasound data using motion and/or orientation data
N Silberman, T Gafner, I Lovchinsky, A Saeedi
US Patent App. 16/529,860, 2020
2020
Methods and apparatuses for guiding collection of ultrasound data using motion and/or orientation data
N Silberman, T Gafner, I Lovchinsky, A Saeedi
US Patent App. 16/529,867, 2020
2020
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