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Negar Hassanpour
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2020 – today
- 2023
- [c7]Mohammad Salameh, Keith G. Mills, Negar Hassanpour, Fred X. Han, Shuting Zhang, Wei Lu, Shangling Jui, Chunhua Zhou, Fengyu Sun, Di Niu:
AutoGO: Automated Computation Graph Optimization for Neural Network Evolution. NeurIPS 2023 - 2022
- [i3]Cameron Haigh, Zichen Zhang, Negar Hassanpour, Khurram Javed, Yingying Fu, Shayan Shahramian, Shawn Zhang, Jun Luo:
Drawing Inductor Layout with a Reinforcement Learning Agent: Method and Application for VCO Inductors. CoRR abs/2202.11798 (2022) - 2021
- [i2]Negar Hassanpour, Russell Greiner:
Variational Auto-Encoder Architectures that Excel at Causal Inference. CoRR abs/2111.06486 (2021) - 2020
- [c6]Negar Hassanpour, Russell Greiner:
Learning Disentangled Representations for CounterFactual Regression. ICLR 2020
2010 – 2019
- 2019
- [c5]Negar Hassanpour:
Counterfactual Reasoning in Observational Studies. AAAI 2019: 9886-9887 - [c4]Negar Hassanpour, Russell Greiner:
CounterFactual Regression with Importance Sampling Weights. IJCAI 2019: 5880-5887 - [i1]Zichen Zhang, Qingfeng Lan, Lei Ding, Yue Wang, Negar Hassanpour, Russell Greiner:
Reducing Selection Bias in Counterfactual Reasoning for Individual Treatment Effects Estimation. CoRR abs/1912.09040 (2019) - 2018
- [c3]Negar Hassanpour, Russell Greiner:
A Novel Evaluation Methodology for Assessing Off-Policy Learning Methods in Contextual Bandits. Canadian AI 2018: 31-44 - 2017
- [j1]Liang Chen, Negar Hassanpour:
Survey: How good are the current advances in image set based face identification? - Experiments on three popular benchmarks with a naïve approach. Comput. Vis. Image Underst. 160: 1-23 (2017) - [c2]Negar Hassanpour, Liang Chen:
A Quantum Probability Inspired Framework for Image-Set Based Face Identification. FG 2017: 551-557 - 2015
- [c1]Negar Hassanpour, Liang Chen:
A hierarchical training and identification method using Gaussian process models for face recognition in videos. FG 2015: 1-8
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