| Variational Graph Recurrent Neural Networks E Hajiramezanali, A Hasanzadeh, N Duffield, KR Narayanan, M Zhou, ... Advances in Neural Information Processing Systems (NeurIPS2019), 2019 | 187 | 2019 |
| Semi-Implicit Graph Variational Auto-Encoders A Hasanzadeh, E Hajiramezanali, N Duffield, KR Narayanan, M Zhou, ... Advances in Neural Information Processing Systems (NeurIPS2019), 2019 | 125 | 2019 |
| 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 | 119 | 2020 |
| 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 | 102 | 2021 |
| 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 | 67 | 2018 |
| 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 | 40 | 2017 |
| 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 | 27 | 2018 |
| 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 | 24 | 2023 |
| Variational graph recurrent neural networks A Hasanzadeh, E Hajiramezanali, K Narayanan, N Duffield, M Zhou, ... Advances in neural information processing systems 32, 2019 | 16 | 2019 |
| 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 | 13 | 2013 |
| 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 | 12 | 2020 |
| 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 | 11 | 2018 |
| STab: Self-supervised Learning for Tabular Data E Hajiramezanali, NL Diamant, G Scalia, MW Shen NeurIPS 2022 First Table Representation Workshop, 2022 | 10 | 2022 |
| 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 | 10 | 2022 |
| Morel: Multi-omics relational learning A Hasanzadeh, E Hajiramezanali, N Duffield, X Qian arXiv preprint arXiv:2203.08149, 2022 | 6 | 2022 |
| 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 | 6 | 2012 |
| 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 | 5 | 2020 |
| Stochastic differential equations for modeling of high maneuvering target tracking M Hajiramezanali, SH Fouladi, JA Ritcey, H Amindavar ETRI Journal 35 (5), 849-858, 2013 | 5 | 2013 |
| Maneuvering target tracking based on SDE driven by GARCH volatility M Hajiramezanali, H Amindavar 2012 IEEE Statistical Signal Processing Workshop (SSP), 764-767, 2012 | 5 | 2012 |
| 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 | 4 | 2024 |
Xiaoning QianTexas A&M UniversityVerifierad e-postadress på ece.tamu.edu
