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Networks capture our intuition about relationships in the world.
Spectra of some self-exciting and mutually exciting point processes
Alan G Hawkes · 1971
Earlier work this paper cites.
Estimation and prediction for stochastic blockstructures
Krzysztof Nowicki and Tom A B Snijders · 2001
Earlier work this paper cites.
Maximum likelihood estimation of cascade point-process neural encoding models
Liam Paninski · 2004
Earlier work this paper cites.
Spatio-temporal correlations and visual signalling in a complete neuronal population
Jonathan W Pillow, Jonathon Shlens, Liam Paninski, Alexander Sher, Alan M Litke, EJ Chichilnisky, and Eero P Simoncelli · 2008
Earlier work this paper cites.
Modeling events with cascades of Poisson processes
Aleksandr Simma and Michael I Jordan · 2010
Earlier work this paper cites.
Spike and slab variational inference for multi-task and multiple kernel learning
Miguel Lázaro-Gredilla and Michalis K Titsias · 2011
Earlier work this paper cites.
Modelling reciprocating relationships with Hawkes processes
Charles Blundell, Katherine Heller, and Jeffrey Beck · 2012
Cited alongside, same era.
Practical Bayesian optimization of machine learning algorithms
Jasper Snoek, Hugo Larochelle, and Ryan P Adams · 2012
Cited alongside, same era.
Model-free reconstruction of excitatory neuronal connectivity from calcium imaging signals
Olav Stetter, Demian Battaglia, Jordi Soriano, and Theo Geisel · 2012
Cited alongside, same era.
Point process modelling for directed interaction networks
Patrick O Perry and Patrick J Wolfe · 2013
Cited alongside, same era.
Stochastic blockmodeling of relational event dynamics
Christopher DuBois, Carter Butts, and Padhraic Smyth · 2013
Cited alongside, same era.
Stochastic variational inference
Matthew D Hoffman, David M Blei, Chong Wang, and John Paisley · 2013
Later among the works it cites.
Demixing odors – Fast inference in olfaction
Agnieszka Grabska-Barwinska, Jeff Beck, Alexandre Pouget, and Peter Latham · 2013
Later among the works it cites.
Discovering latent network structure in point process data
Scott Linderman and Ryan Adams · 2014
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Fast nonnegative deconvolution for spike train inference from population calcium imaging
Joshua T Vogelstein, Adam M Packer, Timothy A Machado, Tanya Sippy, Baktash Babadi, Rafael Yuste, and Liam Paninski · 2014
Later among the works it cites.
The Bayesian echo chamber: Modeling social influence via linguistic accommodation
Fangjian Guo, Charles Blundell, Hanna Wallach, and Katherine Heller · 2015
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