M. Ehsan Abbasnejad

Publication Activity (10 Years)

Years Active: 2011-2022
Publications (10 Years): 7

Top Topics

Preference Learning

Gaussian Process

Density Estimators

Top Venues

Int. J. Comput. Vis.

Publications

Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, M. Ehsan Abbasnejad, Mingming Gong, Kun Zhang, Javen Qinfeng Shi
Truncated Matrix Power Iteration for Differentiable DAG Learning. CoRR (2022)
Miao Zhang, Steven W. Su, Shirui Pan, Xiaojun Chang, M. Ehsan Abbasnejad, Reza Haffari
iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients. ICML (2021)
M. Ehsan Abbasnejad, Javen Shi, Anton van den Hengel, Lingqiao Liu
GADE: A Generative Adversarial Approach to Density Estimation and its Applications. Int. J. Comput. Vis. 128 (10) (2020)
M. Ehsan Abbasnejad, Qinfeng Shi, Anton van den Hengel, Lingqiao Liu
A Generative Adversarial Density Estimator. CVPR (2019)
M. Ehsan Abbasnejad, Anthony R. Dick, Qinfeng Shi, Anton van den Hengel
Active Learning from Noisy Tagged Images. BMVC (2018)
M. Ehsan Abbasnejad, Anthony R. Dick, Anton van den Hengel
Infinite Variational Autoencoder for Semi-Supervised Learning. CVPR (2017)
M. Ehsan Abbasnejad, Qinfeng Shi, Iman Abbasnejad, Anton van den Hengel, Anthony R. Dick
Bayesian Conditional Generative Adverserial Networks. CoRR (2017)
M. Ehsan Abbasnejad, Edwin V. Bonilla, Scott Sanner
Decision-Theoretic Sparsification for Gaussian Process Preference Learning. ECML/PKDD (2) (2013)
M. Ehsan Abbasnejad, Dhanesh Ramachandram, Mandava Rajeswari
A survey of the state of the art in learning the kernels. Knowl. Inf. Syst. 31 (2) (2012)
M. Ehsan Abbasnejad, Dhanesh Ramachandram, Mandava Rajeswari
An unsupervised approach to learn the kernel functions: from global influence to local similarity. Neural Comput. Appl. 20 (5) (2011)