Fetching the paper…
Reading the bibliography…
We present a new approach to automatic amortized inference in universal probabilistic programs which improves performance compared to current methods.
A note on importance sampling using standardized weights
Kong, A. (1992) · 1992
Earlier work this paper cites.
The" wake-sleep" algorithm for unsupervised neural networks
Hinton, G. E., Dayan, P., Frey, B. J., and Neal, R. M. (1995) · 1995
Earlier work this paper cites.
Long short-term memory
Hochreiter, S. and Schmidhuber, J. (1997) · 1997
Earlier work this paper cites.
A tutorial on particle filters for online nonlinear/non-gaussian bayesian tracking
Arulampalam, M., Maskell, S., Gordon, N., and Clapp, T. (2002) · 2002
Earlier work this paper cites.
Blog: Probabilistic models with unknown objects
Milch, B., Marthi, B., Russell, S., Sontag, D., Ong, D. L., and Kolobov, A. (2005) · 2005
Earlier work this paper cites.
Sequential monte carlo samplers
Del Moral, P., Doucet, A., and Jasra, A. (2006) · 2006
Earlier work this paper cites.
Church: A language for generative models
Goodman, N. D., Mansinghka, V. K., Roy, D., Bonawitz, K., and Tenenbaum, J. B. (2008) · 2008
Earlier work this paper cites.
A tutorial on particle filtering and smoothing: Fifteen years later
Doucet, A. and Johansen, A. M. (2009) · 2009
Earlier work this paper cites.
Figaro: An object-oriented probabilistic programming language
Pfeffer, A. (2009) · 2009
Earlier work this paper cites.
Lightweight implementations of probabilistic programming languages via transformational compilation
Wingate, D., Andreas Stuhlmüller, A., and Goodman, N. D. (2011) · 2011
Earlier work this paper cites.
Multiple object recognition with visual attention
Ba, J., Mnih, V., and Kavukcuoglu, K. (2014) · 2014
Cited alongside, same era.
Neural machine translation by jointly learning to align and translate
Bahdanau, D., Cho, K., and Bengio, Y. (2014) · 2014
Cited alongside, same era.
Amortized inference in probabilistic reasoning
Gershman, S. and Goodman, N. (2014) · 2014
Cited alongside, same era.
Probabilistic programming
Gordon, A. D., Henzinger, T. A., Nori, A. V., and Rajamani, S. K. (2014) · 2014
Cited alongside, same era.
Adam: A method for stochastic optimization
Kingma, D. P. and Ba, J. (2014) · 2014
Cited alongside, same era.
Effective approaches to attention-based neural machine translation
Luong, M.-T., Pham, H., and Manning, C. D. (2015) · 2015
Later among the works it cites.
Bidirectional attention flow for machine comprehension
Seo, M., Kembhavi, A., Farhadi, A., and Hajishirzi, H. (2016) · 2016
Later among the works it cites.
Inference compilation and universal probabilistic programming
Le, T. A., Baydin, A. G., and Wood, F. (2017) · 2017
Later among the works it cites.
Attention is all you need
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, Ł., and Polosukhin, I. (2017) · 2017
Later among the works it cites.
Efficient probabilistic inference in the quest for physics beyond the standard model
Baydin, A. G., Heinrich, L., Bhimji, W., Gram-Hansen, B., Louppe, G., Shao, L., Cranmer, K., Wood, F., et al. (2018) · 2018
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Mansinghka, V., Selsam, D., and Perov, Y. (2014) · 2014
Cited alongside, same era.
A new approach to probabilistic programming inference
Wood, F., Meent, J. W., and Mansinghka, V. (2014) · 2014
Cited alongside, same era.
Draw: A recurrent neural network for image generation
Gregor, K., Danihelka, I., Graves, A., Rezende, D. J., and Wierstra, D. (2015) · 2015
Cited alongside, same era.
Picture: A probabilistic programming language for scene perception
Kulkarni, T. D., Kohli, P., Tenenbaum, J. B., and Mansinghka, V. (2015) · 2015
Cited alongside, same era.
Later among the works it cites.
/Infer.NET 0.3
Minka, T., Winn, J., Guiver, J., Zaykov, Y., Fabian, D., and Bronskill, J. (2018) · 2018
Later among the works it cites.
An introduction to probabilistic programming
van de Meent, J.-W., Paige, B., Yang, H., and Wood, F. (2018) · 2018
Later among the works it cites.
Spatial transformer networks
Jaderberg, M., Simonyan, K., Zisserman, A., et al. (2015) · 2025
Closest in time.
Show, attend and tell: Neural image caption generation with visual attention
Xu, K., Ba, J., Kiros, R., Cho, K., Courville, A., Salakhudinov, R., Zemel, R., and Bengio, Y. (2015) · 2057
Closest in time.