Seuraa
Ardavan Saeedi
Ardavan Saeedi
Vahvistettu sähköpostiosoite verkkotunnuksessa mit.edu
Nimike
Viittaukset
Viittaukset
Vuosi
Hierarchical deep reinforcement learning: Integrating temporal abstraction and intrinsic motivation
TD Kulkarni, K Narasimhan, A Saeedi, J Tenenbaum
Advances in neural information processing systems 29, 2016
10102016
The Prognostic Value of BRAF Mutation in Colorectal Cancer and Melanoma: A Systematic Review and Meta-Analysis
G Safaee Ardekani, SM Jafarnejad, L Tan, A Saeedi, G Li
Public Library of Science 7 (10), e47054, 2012
2702012
Deep successor reinforcement learning
TD Kulkarni, A Saeedi, S Gautam, SJ Gershman
arXiv preprint arXiv:1606.02396, 2016
1972016
Learning from noisy labels by regularized estimation of annotator confusion
R Tanno, A Saeedi, S Sankaranarayanan, DC Alexander, N Silberman
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
1182019
Nonparametric spherical topic modeling with word embeddings
K Batmanghelich, A Saeedi, K Narasimhan, S Gershman
Proceedings of the conference. Association for computational linguistics …, 2016
1042016
Variational particle approximations
A Saeedi, TD Kulkarni, VK Mansinghka, SJ Gershman
The Journal of Machine Learning Research 18 (1), 2328-2356, 2017
40*2017
Priors over recurrent continuous time processes
A Saeedi, A Bouchard-Côté
Advances in Neural Information Processing Systems 24, 2011
322011
Priors over recurrent continuous time processes
A Saeedi, A Bouchard-Côté
Advances in Neural Information Processing Systems 24, 2011
322011
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
292018
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
172016
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
92015
Jump-means: Small-variance asymptotics for markov jump processes
J Huggins, K Narasimhan, A Saeedi, V Mansinghka
International Conference on Machine Learning, 693-701, 2015
92015
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
82018
Generating multimodal image edits for a digital image
S DiVerdi, MD Hoffman, A Saeedi
US Patent 10,592,776, 2020
72020
Discrepancy Ratio: Evaluating Model Performance When Even Experts Disagree on the Truth
I Lovchinsky, A Daks, I Malkin, P Samangouei, A Saeedi, Y Liu, ...
International Conference on Learning Representations, 2019
32019
Variational particle approximations
A Saeedi, TD Kulkarni, V Mansinghka, S Gershman
arXiv preprint arXiv:1402.5715, 2014
32014
Methods and apparatuses for guiding collection of ultrasound data using motion and/or orientation data
T Gafner, I Lovchinsky, A Saeedi
US Patent App. 16/529,872, 2020
22020
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
12020
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
12020
Automatic Inference for Inverting Software Simulators via Probabilistic Programming
A Saeedi, V Firoiu, V Mansinghka
arXiv preprint arXiv:1506.00308, 2015
12015
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