Categorical reparameterization with Gumbel-softmax
Jang, E., Gu, S., and Poole, B · 2017
Later among the works it cites.
Generating and designing DNA with deep generative models
Killoran, N., Lee, L. J., Delong, A., Duvenaud, D., and Frey, B. J · 2017
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Simple and scalable predictive uncertainty estimation using deep ensembles
Lakshminarayanan, B., Pritzel, A., and Blundell, C · 2017
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Plug & play generative networks: Conditional iterative generation of images in latent space
Nguyen, A., Clune, J., Bengio, Y., Dosovitskiy, A., and Yosinski, J · 2017
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Information-geometric optimization algorithms: A unifying picture via invariance principles
Ollivier, Y., Arnold, L., Auger, A., and Hansen, N · 2017
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Attention is all you need
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, L. u., and Polosukhin, I · 2017
Later among the works it cites.
Simple and scalable predictive uncertainty estimation using deep ensembles
Lakshminarayanan, B., Pritzel, A., and Blundell, C · 2017
Later among the works it cites.
Design by adaptive sampling
Original
Brookes, D. H. and Listgarten, J · 2018
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Latent constraints: Learning to generate conditionally from unconditional generative models
Engel, J., Hoffman, M., and Roberts, A · 2018
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Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules
Gómez-Bombarelli, R., Wei, J. N., Duvenaud, D., Hernández-Lobato, J. M., Sánchez-Lengeling, B., Sheberla, D., Aguilera-Iparraguirre, J., Hirzel, T. D., Adams, R. P., and Aspuru-Guzik, A · 2018
Later among the works it cites.
Machine learning in protein engineering
Yang, K. K., Wu, Z., and Arnold, F. H · 2018
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Feedback GAN for DNA optimizes protein functions
Gupta, A. and Zou, J · 2019
Closest in time.
Do deep generative models know what they don’t know?
Nalisnick, E., Matsukawa, A., Teh, Y. W., Gorur, D., and Lakshminarayanan, B · 2019
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Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences
Rives, A., Goyal, S., Meier, J., Guo, D., Ott, M., Zitnick, C. L., Ma, J., and Fergus, R · 2019
Closest in time.