Ryan P. Adams
38 papers · 2008–2022 · 6 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 15 separate collaboration groups - the largest holds only 18% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Ryan P. Adams?
8 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Scott Linderman, Matthew J Johnson, David K. Duvenaud
5 papers
· 2014–2016
· NeurIPS
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Bayesian latent structure discovery from multi-neuron recordings
NeurIPS 2016
Composing graphical models with neural networks for structured representations and fast inference
NeurIPS 2016
Convolutional Networks on Graphs for Learning Molecular Fingerprints
NeurIPS 2015
Dependent Multinomial Models Made Easy: Stick-Breaking with the Polya-gamma Augmentation
NeurIPS 2015
A framework for studying synaptic plasticity with neural spike train data
NeurIPS 2014
7 papers whose co-authors appear nowhere else under this name
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability
NeurIPS 2021
SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers
NeurIPS 2019
PASS-GLM: polynomial approximate sufficient statistics for scalable Bayesian GLM inference
NeurIPS 2017
Variational Boosting: Iteratively Refining Posterior Approximations
ICML 2017
Contrastive Learning Using Spectral Methods
NeurIPS 2013
Message Passing Inference with Chemical Reaction Networks
NeurIPS 2013
Priors for Diversity in Generative Latent Variable Models
NeurIPS 2012