Ardavan Saeedi
TitleCited byYear
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
4172016
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
1962012
Deep successor reinforcement learning
TD Kulkarni, A Saeedi, S Gautam, SJ Gershman
arXiv preprint arXiv:1606.02396, 2016
842016
Nonparametric spherical topic modeling with word embeddings
K Batmanghelich, A Saeedi, K Narasimhan, S Gershman
Proceedings of the conference. Association for Computational Linguistics …, 2016
482016
Priors over recurrent continuous time processes
A Saeedi, A Bouchard-Côté
Advances in Neural Information Processing Systems, 2052-2060, 2011
282011
Variational particle approximations
A Saeedi, TD Kulkarni, VK Mansinghka, SJ Gershman
The Journal of Machine Learning Research 18 (1), 2328-2356, 2017
20*2017
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
122016
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
62015
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, MD Hoffman, SJ DiVerdi, A Ghandeharioun, MJ Johnson, ...
arXiv preprint arXiv:1704.04997, 2017
52017
Learning From Noisy Labels By Regularized Estimation Of Annotator Confusion
R Tanno, A Saeedi, S Sankaranarayanan, DC Alexander, N Silberman
arXiv preprint arXiv:1902.03680, 2019
42019
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 for a digital image
S DiVerdi, MD Hoffman, A Saeedi
US Patent App. 15/427,598, 2018
2018
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
2018
Latent variable models for understanding user behavior in software applications
A Saeedi
Massachusetts Institute of Technology, 2018
2018
Inferring Disease Status by non-Parametric Probabilistic Embedding
NK Batmanghelich, A Saeedi, RSJ Estepar, M Cho, WM Wells
Medical Computer Vision and Bayesian and Graphical Models for Biomedical …, 2016
2016
Detailed Derivations of Small-Variance Asymptotics for some Hierarchical Bayesian Nonparametric Models
JH Huggins, A Saeedi, MJ Johnson
arXiv preprint arXiv:1501.00052, 2014
2014
Nonparametric Bayesian models for Markov jump processes
A Saeedi
University of British Columbia, 2012
2012
Supplementary Material for Multimodal Prediction and Personalization of Photo Edits with Deep Generative Models
A Saeedi, MD Hoffman, SJ DiVerdi, A Ghandeharioun, MJ Johnson, ...
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Articles 1–20