David Dohan
David Dohan
Google Brain
Verified email at google.com
Title
Cited by
Cited by
Year
Unsupervised pixel-level domain adaptation with generative adversarial networks
K Bousmalis, N Silberman, D Dohan, D Erhan, D Krishnan
Proceedings of the IEEE conference on computer vision and pattern …, 2017
10962017
Qanet: Combining local convolution with global self-attention for reading comprehension
AW Yu, D Dohan, MT Luong, R Zhao, K Chen, M Norouzi, QV Le
arXiv preprint arXiv:1804.09541, 2018
624*2018
Rethinking attention with performers
K Choromanski, V Likhosherstov, D Dohan, X Song, A Gane, T Sarlos, ...
arXiv preprint arXiv:2009.14794, 2020
822020
Learning hierarchical semantic segmentations of LIDAR data
D Dohan, B Matejek, T Funkhouser
2015 International Conference on 3D Vision, 273-281, 2015
382015
Model-based reinforcement learning for biological sequence design
C Angermueller, D Dohan, D Belanger, R Deshpande, K Murphy, ...
International Conference on Learning Representations, 2019
252019
Masked language modeling for proteins via linearly scalable long-context transformers
K Choromanski, V Likhosherstov, D Dohan, X Song, A Gane, T Sarlos, ...
arXiv preprint arXiv:2006.03555, 2020
122020
Population-Based Black-Box Optimization for Biological Sequence Design
C Angermueller, D Belanger, A Gane, Z Mariet, D Dohan, K Murphy, ...
International Conference on Machine Learning, 324-334, 2020
82020
K-median algorithms: theory in practice
D Dohan, S Karp, B Matejek
Working paper, Princeton, Computer Science, 2015
82015
Exploring neural architecture search for language tasks
MT Luong, D Dohan, AW Yu, QV Le, B Zoph, V Vasudevan
52018
Is Transfer Learning Necessary for Protein Landscape Prediction?
A Shanehsazzadeh, D Belanger, D Dohan
arXiv preprint arXiv:2011.03443, 2020
42020
Amortized bayesian optimization over discrete spaces
K Swersky, Y Rubanova, D Dohan, K Murphy
Conference on Uncertainty in Artificial Intelligence, 769-778, 2020
42020
Unsupervised pixel-level domain adaptation with generative adversarial networks. CoRR
K Bousmalis, N Silberman, D Dohan, D Erhan, D Krishnan
arXiv preprint arXiv:1612.05424, 2016
32016
Biological Sequences Design using Batched Bayesian Optimization
D Belanger, S Vora, Z Mariet, R Deshpande, D Dohan, C Angermueller, ...
22019
Evolving modular neural sequence architectures with genetic programming
D Dohan, D So, Q Le
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018
22018
Transforming source domain images into target domain images
K Bousmalis, N Silberman, DM Dohan, D Erhan, D Krishnan
US Patent 10,991,074, 2021
12021
A Comparison of Generative Models for Sequence Design
A Gane, D Belanger, D Dohan, C Angermueller, R Deshpande, S Vora, ...
12019
Computationally efficient neural network architecture search
DM Dohan, DR So, C Liang, QV Le
US Patent 10,997,503, 2021
2021
Latent Programmer: Discrete Latent Codes for Program Synthesis
J Hong, D Dohan, R Singh, C Sutton, M Zaheer
arXiv preprint arXiv:2012.00377, 2020
2020
Fixed-Length Protein Embeddings using Contextual Lenses
A Shanehsazzadeh, D Belanger, D Dohan
arXiv preprint arXiv:2010.15065, 2020
2020
Population Based Optimization for Biological Sequence Design
C Angermueller, D Belanger, A Gane, Z Mariet, DM Dohan, KP Murphy, ...
2020
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