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Spectral Representations for Convolutional Neural Networks

Spectral Representations for Convolutional Neural Networks. Rippel, O, Snoek J, Adams RP.  Advances in Neural Information Processing Systems 28. 2015.   { arXiv:1506.03767 [stat.ML] | PDF | Google Scholar | BibTex }

A Gaussian Process Model of Quasar Spectral Energy Distributions

A Gaussian Process Model of Quasar Spectral Energy Distributions. Miller, A, Wu A, Regier J, McAuliffe J, Lang D, Prabhat, Schlegel D, Adams RP.  Advances in Neural Information Processing Systems 28. 2015.   { PDF | Google Scholar | BibTex }

Scalable Bayesian Optimization Using Deep Neural Networks

Scalable Bayesian Optimization Using Deep Neural Networks. Snoek, J, Rippel O, Swersky K, Kiros R, Satish N, Sundaram N, Patwary MMA, Prabhat, Adams RP.  Proceedings of the 32nd International Conference on Machine Learning. 2015.   { arXiv:1502.05700 [stat.ML] | PDF | Google Scholar | BibTex }

Gradient-based Hyperparameter Optimization through Reversible Learning

Gradient-based Hyperparameter Optimization through Reversible Learning. Maclaurin, D, Duvenaud D, Adams RP.  Proceedings of the 32nd International Conference on Machine Learning. 2015.   { arXiv:1502.03492 [stat.ML] | PDF | Code | Google Scholar | BibTex }

Graph-Sparse LDA: A Topic Model with Structured Sparsity

Graph-Sparse LDA: A Topic Model with Structured Sparsity. Doshi-Velez, F, Wallace B, Adams RP.  Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence. Submitted.   { arXiv:1410.4510 [stat.ML] | PDF | Google Scholar | BibTex }

A Framework for Studying Synaptic Plasticity with Neural Spike Train Data

A Framework for Studying Synaptic Plasticity with Neural Spike Train Data. Linderman, SW, Stock CH, Adams RP.  Advances in Neural Information Processing Systems 27. 2014.   { PDF | Google Scholar | BibTex }