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ORCIDMohammad Asif Khan 0001
Person information
- affiliation: University of Edinburgh, UK
- affiliation (former): University of Bonn, Germany
Other persons with the same name
- Mohammad Asif Khan 0002 — NXP Semiconductors, Noida, India
- Mohammad Asif Khan 0003
![[0000-0002-0864-7832]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-0864-7832")
— Aberystwyth University, UK - Mohammad Asif Khan 0004 — University of Doha for Science and Technology, College of Computing and Information Technology, Qatar (and 1 more)
- Asif Khan — disambiguation page
- Asif Khan 0001 — Aligarh Muslim University, Department of Mathematics, India
- Asif Khan 0002 — Karakoram International University, Gilgit, Pakistan (and 1 more)
- Asif Khan 0003 — Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi, Pakistan (and 3 more)
- Asif Khan 0004 — London South Bank University, School of Engineering, Division of Electrical and Electronic Engineering, UK
- Asif Khan 0005 — Massachusetts Institute of Technology, CSAIL, Cambridge, MA, USA
- Asif Khan 0006 — COMSATS Institute of Information Technology, Islamabad, Pakistan
- Asif Khan 0007 — University of Electronic Science and Technology of China, School of Computer Science and Engineering, Chengdu, China
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2020 – today
- 2022
[c3]Asif Khan, Amos J. Storkey:
Hamiltonian Latent Operators for content and motion disentanglement in image sequences. NeurIPS 2022- [i9]Mohammad Asif Khan, Alexander I. Cowen-Rivers, Derrick-Goh-Xin Deik, Antoine Grosnit, Kamil Dreczkowski, Philippe A. Robert, Victor Greiff, Rasul Tutunov, Dany Bou-Ammar, Jun Wang, Haitham Bou-Ammar:
AntBO: Towards Real-World Automated Antibody Design with Combinatorial Bayesian Optimisation. CoRR abs/2201.12570 (2022) - [i8]Asif Khan, Amos J. Storkey:
Adversarial robustness of β-VAE through the lens of local geometry. CoRR abs/2208.03923 (2022) - [i7]Alexander I. Cowen-Rivers, Philip John Gorinski, Aivar Sootla, Asif Khan, Furui Liu, Jun Wang, Jan Peters, Haitham Bou-Ammar:
Structured Q-learning For Antibody Design. CoRR abs/2209.04698 (2022) - 2021
- [i6]Mohammad Asif Khan, Amos J. Storkey:
Hamiltonian Operator Disentanglement of Content and Motion in Image Sequences. CoRR abs/2112.01641 (2021) - 2020
- [i5]Mohammad Asif Khan, Fabien Cardinaux, Stefan Uhlich, Marc Ferras, Asja Fischer:
Unsupervised Cross-Domain Speech-to-Speech Conversion with Time-Frequency Consistency. CoRR abs/2005.07810 (2020)
2010 – 2019
- 2019
- [c2]Anna Kukleva, Mohammad Asif Khan, Hafez Farazi, Sven Behnke:
Utilizing Temporal Information in Deep Convolutional Network for Efficient Soccer Ball Detection and Tracking. RoboCup 2019: 112-125 - [c1]Agustinus Kristiadi, Mohammad Asif Khan, Denis Lukovnikov, Jens Lehmann, Asja Fischer:
Incorporating Literals into Knowledge Graph Embeddings. ISWC (1) 2019: 347-363 - [i4]Anna Kukleva, Mohammad Asif Khan, Hafez Farazi, Sven Behnke:
Utilizing Temporal Information in Deep Convolutional Network for Efficient Soccer Ball Detection and Tracking. CoRR abs/1909.02406 (2019) - 2018
- [j3]Maxat Kulmanov, Mohammad Asif Khan, Robert Hoehndorf:
DeepGO: predicting protein functions from sequence and interactions using a deep ontology-aware classifier. Bioinform. 34(4): 660-668 (2018) - [i3]Agustinus Kristiadi, Mohammad Asif Khan, Denis Lukovnikov, Jens Lehmann, Asja Fischer:
Incorporating Literals into Knowledge Graph Embeddings. CoRR abs/1802.00934 (2018) - 2017
- [j2]Mona Alshahrani, Mohammad Asif Khan, Omar Maddouri, Akira R. Kinjo, Núria Queralt-Rosinach, Robert Hoehndorf:
Neuro-symbolic representation learning on biological knowledge graphs. Bioinform. 33(17): 2723-2730 (2017) - [i2]Maxat Kulmanov, Mohammad Asif Khan, Robert Hoehndorf:
DeepGO: Predicting protein functions from sequence and interactions using a deep ontology-aware classifier. CoRR abs/1705.05919 (2017) - 2016
- [j1]Muhammad Tanveer, Mohammad Asif Khan, Shen-Shyang Ho:
Robust energy-based least squares twin support vector machines. Appl. Intell. 45(1): 174-186 (2016) - [i1]Mona Alshahrani, Mohammad Asif Khan, Omar Maddouri, Akira R. Kinjo, Núria Queralt-Rosinach, Robert Hoehndorf:
Neuro-symbolic representation learning on biological knowledge graphs. CoRR abs/1612.04256 (2016)
Coauthor Index
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