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Ehsan Hajiramezanali
Ehsan Hajiramezanali
Principal Research Scientist, Genentech
Verified email at gene.com - Homepage
Title
Cited by
Cited by
Year
Variational Graph Recurrent Neural Networks
E Hajiramezanali, A Hasanzadeh, N Duffield, KR Narayanan, M Zhou, ...
Advances in Neural Information Processing Systems (NeurIPS2019), 2019
2192019
Semi-Implicit Graph Variational Auto-Encoders
A Hasanzadeh, E Hajiramezanali, N Duffield, KR Narayanan, M Zhou, ...
Advances in Neural Information Processing Systems (NeurIPS2019), 2019
1482019
Bayesian Graph Neural Networks with Adaptive Connection Sampling
A Hasanzadeh, E Hajiramezanali, S Boluki, M Zhou, N Duffield, ...
International Conference on Machine Learning (ICML), 2020
1392020
Subtab: Subsetting features of tabular data for self-supervised representation learning
T Ucar, E Hajiramezanali, L Edwards
Advances in Neural Information Processing Systems 34, 18853-18865, 2021
1282021
Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data
E Hajiramezanali, SZ Dadaneh, A Karbalayghareh, M Zhou, X Qian
Advances in Neural Information Processing Systems (NeurIPS2018), 9115-9124, 2018
742018
ASXL1 interacts with the cohesin complex to maintain chromatid separation and gene expression for normal hematopoiesis
Z Li, P Zhang, A Yan, Z Guo, Y Ban, J Li, S Chen, H Yang, Y He, J Li, ...
Science advances 3 (1), e1601602, 2017
452017
Towards understanding and improving gflownet training
MW Shen, E Bengio, E Hajiramezanali, A Loukas, K Cho, T Biancalani
International Conference on Machine Learning, 30956-30975, 2023
292023
Scalable Optimal Bayesian Classification of Single-Cell Trajectories under Regulatory Model Uncertainty
E Hajiramezanali, M Imani, UM Braga-Neto, X Qian, ER Dougherty
BMC genomics 20, 2018
282018
Variational graph recurrent neural networks
A Hasanzadeh, E Hajiramezanali, K Narayanan, N Duffield, M Zhou, ...
Advances in neural information processing systems 32, 2019
172019
STab: Self-supervised Learning for Tabular Data
E Hajiramezanali, NL Diamant, G Scalia, MW Shen
NeurIPS 2022 First Table Representation Workshop, 2022
162022
Tracing app technology: an ethical review in the COVID-19 era and directions for post-COVID-19
S Afroogh, A Esmalian, A Mostafavi, A Akbari, K Rasoulkhani, S Esmaeili, ...
Ethics and Information Technology 24 (3), 30, 2022
152022
Fine-tuning of continuous-time diffusion models as entropy-regularized control
M Uehara, Y Zhao, K Black, E Hajiramezanali, G Scalia, NL Diamant, ...
arXiv preprint arXiv:2402.15194, 2024
142024
BayReL: Bayesian relational learning for multi-omics data integration
E Hajiramezanali, A Hasanzadeh, N Duffield, K Narayanan, X Qian
Advances in Neural Information Processing Systems 33, 19251-19263, 2020
142020
Denoising based on multivariate stochastic volatility modeling of multiwavelet coefficients
SH Fouladi, M Hajiramezanali, H Amindavar, JA Ritcey, P Arabshahi
IEEE transactions on signal processing 61 (22), 5578-5589, 2013
142013
Differential expression analysis of dynamical sequencing count data with a gamma markov chain
E Hajiramezanali, SZ Dadaneh, P de Figueiredo, SH Sze, M Zhou, X Qian
arXiv preprint arXiv:1803.02527, 2018
122018
Feedback efficient online fine-tuning of diffusion models
M Uehara, Y Zhao, K Black, E Hajiramezanali, G Scalia, NL Diamant, ...
arXiv preprint arXiv:2402.16359, 2024
72024
Maneuvering target tracking based on combined stochastic differential equations and GARCH process
M Hajiramezanali, H Amindavar
2012 11th International Conference on Information Science, Signal Processing …, 2012
72012
Generative flow networks assisted biological sequence editing
PM Ghari, A Tseng, G Eraslan, R Lopez, T Biancalani, G Scalia, ...
NeurIPS 2023 Generative AI and Biology (GenBio) Workshop, 2023
62023
Morel: Multi-omics relational learning
A Hasanzadeh, E Hajiramezanali, N Duffield, X Qian
arXiv preprint arXiv:2203.08149, 2022
62022
Semi-Implicit Stochastic Recurrent Neural Networks
E Hajiramezanali, A Hasanzadeh, N Duffield, K Narayanan, M Zhou, ...
2020 International Conference on Acoustics, Speech, and Signal Processing …, 2020
62020
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