| Learning Disentangled Representations for CounterFactual Regression N Hassanpour, R Greiner International Conference on Learning Representations (ICLR), 2020 | 190 | 2020 |
| CounterFactual Regression with Importance Sampling Weights N Hassanpour, R Greiner The 28th International Joint Conference on Artificial Intelligence (IJCAI …, 2019 | 145 | 2019 |
| A Complex Adaptive System of Systems Approach to Human–Automation Interaction in Smart Grid A FEREIDUNIAN, H LESANI, MALI ZAMANI, MA SHARIFI KOLARIJANI, ... Contemporary Issues in Systems Science and Engineering, 425, 2015 | 32 | 2015 |
| Reducing selection bias in counterfactual reasoning for individual treatment effects estimation Z Zhang, Q Lan, L Ding, Y Wang, N Hassanpour, R Greiner arXiv preprint arXiv:1912.09040, 2019 | 12 | 2019 |
| Survey: How good are the current advances in image set based face identification?–Experiments on three popular benchmarks with a naïve approach L Chen, N Hassanpour Computer Vision and Image Understanding 160, 1-23, 2017 | 9 | 2017 |
| A Hierarchical Training and Identification Method using Gaussian Process Models for Face Recognition in Videos N Hassanpour, L Chen The 11th IEEE International Conference on Automatic Face and Gesture Recognition, 2015 | 7 | 2015 |
| Variational auto-encoder architectures that excel at causal inference N Hassanpour, R Greiner arXiv preprint arXiv:2111.06486, 2021 | 6 | 2021 |
| A Novel Evaluation Methodology for Assessing Off-Policy Learning Methods in Contextual Bandits N Hassanpour, R Greiner The 31st Canadian Conference on Artificial Intelligence, 31-44, 2018 | 5 | 2018 |
| Weighted Gaussian Process for Estimating Treatment Effect J Wen, N Hassanpour, R Greiner What If? Inference and Learning of Hypothetical and Counterfactual …, 2016 | 4 | 2016 |
| AASVMES: An intelligent expert system for realization of Adaptive Autonomy using Support Vector Machine N Hassanpour, MA Zamani, A Fereidunian, H Lesani The 2nd International Conference on Control, Instrumentation and Automation …, 2011 | 4 | 2011 |
| Autogo: Automated computation graph optimization for neural network evolution M Salameh, K Mills, N Hassanpour, F Han, S Zhang, W Lu, S Jui, C Zhou, ... Advances in Neural Information Processing Systems 36, 74455-74477, 2023 | 1 | 2023 |
| Drawing inductor layout with a reinforcement learning agent: Method and application for vco inductors C Haigh, Z Zhang, N Hassanpour, K Javed, Y Fu, S Shahramian, S Zhang, ... arXiv preprint arXiv:2202.11798, 2022 | 1 | 2022 |
| Counterfactual Reasoning in Observational Studies N Hassanpour | 1 | 2022 |
| Counterfactual reasoning in observational studies N Hassanpour Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 9886-9887, 2019 | 1 | 2019 |
| A quantum probability inspired framework for image-set based face identification N Hassanpour, L Chen 2017 12th IEEE International Conference on Automatic Face & Gesture …, 2017 | 1 | 2017 |
| Fantastic Multi-Task Gradient Updates and How to Find Them In a Cone N Hassanpour, MK Janjua, K Zhang, S Lavasani, X Zhang, C Zhou, ... arXiv preprint arXiv:2502.00217, 2025 | | 2025 |
| QuaSeDiMo: Quantifiable Quantization Sensitivity of Diffusion Models KG Mills, M Salameh, R Chen, N Hassanpour, W Lu, D Niu arXiv preprint arXiv:2412.14628, 2024 | | 2024 |
| PixelMan: Consistent Object Editing with Diffusion Models via Pixel Manipulation and Generation L Jiang, N Hassanpour, M Salameh, M Samadi, J He, F Sun, D Niu arXiv preprint arXiv:2412.14283, 2024 | | 2024 |
| FRAP: Faithful and Realistic Text-to-Image Generation with Adaptive Prompt Weighting L Jiang, N Hassanpour, M Salameh, MS Singamsetti, F Sun, W Lu, D Niu arXiv preprint arXiv:2408.11706, 2024 | | 2024 |
| System and method for computer-assisted design of indcutor for voltaged-controlled oscillator CGW Haigh, Z Zhang, N Hassanpour, K Javed, J Luo, Y Fu US Patent App. 17/478,458, 2023 | | 2023 |
Russ GreinerProfessor of Computing Science, University of Alberta; CIFAR AI Chairכתובת אימייל מאומתת בדומיין ualberta.ca