• 6233 Citations
  • 29 h-Index
20082020

Research output per year

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Research Output

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Conference article
2019

Discrete object generation with reversible inductive construction

Seff, A., Zhou, W., Damani, F., Doyle, A. & Adams, R. P., 2019, In : Advances in Neural Information Processing Systems. 32

Research output: Contribution to journalConference article

SpArSe: Sparse architecture search for CNNs on resource-constrained microcontrollers

Fedorov, I., Adams, R. P., Mattina, M. & Whatmough, P. N., 2019, In : Advances in Neural Information Processing Systems. 32

Research output: Contribution to journalConference article

2 Scopus citations
2018

A Bayesian nonparametric view on count-min sketch

Cai, D., Mitzenmacher, M. & Adams, R. P., Jan 1 2018, In : Advances in Neural Information Processing Systems. 2018-December, p. 8768-8777 10 p.

Research output: Contribution to journalConference article

2017

PASS-GLM: Polynomial approximate sufficient statistics for scalable Bayesian GLM inference

Huggins, J. H., Adams, R. P. & Broderick, T., Jan 1 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. 3612-3622 11 p.

Research output: Contribution to journalConference article

5 Scopus citations

Reducing reparameterization gradient variance

Miller, A. C., Foti, N. J., D'Amour, A. & Adams, R. P., 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. 3709-3719 11 p.

Research output: Contribution to journalConference article

13 Scopus citations
2016

Bayesian latent structure discovery from multi-neuron recordings

Linderman, S. W., Adams, R. P. & Pillow, J. W., Jan 1 2016, In : Advances in Neural Information Processing Systems. p. 2010-2018 9 p.

Research output: Contribution to journalConference article

16 Scopus citations

Composing graphical models with neural networks for structured representations and fast inference

Johnson, M. J., Duvenaud, D., Wiltschko, A. B., Datta, S. R. & Adams, R. P., Jan 1 2016, In : Advances in Neural Information Processing Systems. p. 2954-2962 9 p.

Research output: Contribution to journalConference article

108 Scopus citations
2015

A Gaussian process model of quasar spectral energy distributions

Miller, A., Wu, A., Regier, J., McAuliffe, J., Lang, D., Prabhat, Schlegel, D. & Adams, R., Jan 1 2015, In : Advances in Neural Information Processing Systems. 2015-January, p. 2494-2502 9 p.

Research output: Contribution to journalConference article

1 Scopus citations

Combinatorial design of OLED-emitting materials

Aspuru-Guzik, A., Adams, R., Baldo, M., Aguilera-Iparraguirre, J. & Gómez-Bombarelli, R., Jun 1 2015, In : Digest of Technical Papers - SID International Symposium. 46, Book 1, p. 505-506 2 p.

Research output: Contribution to journalConference article

1 Scopus citations

Convolutional networks on graphs for learning molecular fingerprints

Duvenaud, D., Maclaurin, D., Aguilera-Iparraguirre, J., Gómez-Bombarelli, R., Hirzel, T., Aspuru-Guzik, A. & Adams, R. P., Jan 1 2015, In : Advances in Neural Information Processing Systems. 2015-January, p. 2224-2232 9 p.

Research output: Contribution to journalConference article

640 Scopus citations

Dependent multinomial models made easy: Stick breaking with the Pólya-gamma augmentation

Linderman, S. W., Johnson, M. J. & Adams, R. P., Jan 1 2015, In : Advances in Neural Information Processing Systems. 2015-January, p. 3456-3464 9 p.

Research output: Contribution to journalConference article

22 Scopus citations

Spectral representations for convolutional neural networks

Rippel, O., Snoek, J. & Adams, R. P., Jan 1 2015, In : Advances in Neural Information Processing Systems. 2015-January, p. 2449-2457 9 p.

Research output: Contribution to journalConference article

85 Scopus citations
2014

A framework for studying synaptic plasticity with neural spike train data

Linderman, S. W., Stock, C. H. & Adams, R. P., Jan 1 2014, In : Advances in Neural Information Processing Systems. 3, January, p. 2330-2338 9 p.

Research output: Contribution to journalConference article

10 Scopus citations

Avoiding pathologies in very deep networks

Duvenaud, D., Rippel, O., Adams, R. P. & Ghahramani, Z., Jan 1 2014, In : Journal of Machine Learning Research. 33, p. 202-210 9 p.

Research output: Contribution to journalConference article

20 Scopus citations
2013

A determinantal point process latent variable model for inhibition in neural spiking data

Snoek, J., Adams, R. P. & Zemel, R. S., Jan 1 2013, In : Advances in Neural Information Processing Systems.

Research output: Contribution to journalConference article

17 Scopus citations

Contrastive learning using spectral methods

Zou, J., Hsu, D., Parkes, D. & Adams, R., Jan 1 2013, In : Advances in Neural Information Processing Systems.

Research output: Contribution to journalConference article

29 Scopus citations

Message passing inference with chemical reaction networks

Napp, N. & Adams, R. P., Jan 1 2013, In : Advances in Neural Information Processing Systems.

Research output: Contribution to journalConference article

16 Scopus citations

Multi-task Bayesian optimization

Swersky, K., Snoek, J. & Adams, R. P., Jan 1 2013, In : Advances in Neural Information Processing Systems.

Research output: Contribution to journalConference article

178 Scopus citations
2012

On nonparametric guidance for learning autoencoder representations

Snoek, J., Adams, R. P. & Larochelle, H., Jan 1 2012, In : Journal of Machine Learning Research. 22, p. 1073-1080 8 p.

Research output: Contribution to journalConference article

2 Scopus citations

Randomized optimum models for structured prediction

Tarlow, D., Adams, R. P. & Zemel, R. S., Jan 1 2012, In : Journal of Machine Learning Research. 22, p. 1221-1229 9 p.

Research output: Contribution to journalConference article

9 Scopus citations
2010

Elliptical slice sampling

Murray, I., Adams, R. P. & MacKay, D. J. C., Dec 1 2010, In : Journal of Machine Learning Research. 9, p. 541-548 8 p.

Research output: Contribution to journalConference article

112 Scopus citations

Learning the structure of deep sparse graphical models

Adams, R. P., Wallach, H. M. & Ghahramani, Z., Dec 1 2010, In : Journal of Machine Learning Research. 9, p. 1-8 8 p.

Research output: Contribution to journalConference article

23 Scopus citations