
Attentive Clustering Processes
Amortized approaches to clustering have recently received renewed attent...
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A zeroinflated gamma model for deconvolved calcium imaging traces
Calcium imaging is a critical tool for measuring the activity of large n...
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Disentangled sticky hierarchical Dirichlet process hidden Markov model
The Hierarchical Dirichlet Process Hidden Markov Model (HDPHMM) has bee...
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General lineartime inference for Gaussian Processes on one dimension
Gaussian Processes (GPs) provide a powerful probabilistic framework for ...
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Discrete Neural Processes
Many data generating processes involve latent random variables over disc...
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Amortized Bayesian inference for clustering models
We develop methods for efficient amortized approximate Bayesian inferenc...
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A Novel Variational Family for Hidden Nonlinear Markov Models
Latent variable models have been widely applied for the analysis and vis...
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Penalized matrix decomposition for denoising, compression, and improved demixing of functional imaging data
Calcium imaging has revolutionized systems neuroscience, providing the a...
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Reparameterizing the Birkhoff Polytope for Variational Permutation Inference
Many matching, tracking, sorting, and ranking problems require probabili...
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Recurrent switching linear dynamical systems
Many natural systems, such as neurons firing in the brain or basketball ...
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Stochastic Bouncy Particle Sampler
We introduce a novel stochastic version of the nonreversible, rejection...
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Robust and scalable Bayesian analysis of spatial neural tuning function data
A common analytical problem in neuroscience is the interpretation of neu...
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Linear dynamical neural population models through nonlinear embeddings
A body of recent work in modeling neural activity focuses on recovering ...
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Partition Functions from RaoBlackwellized Tempered Sampling
Partition functions of probability distributions are important quantitie...
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Black box variational inference for state space models
Latent variable timeseries models are among the most heavily used tools...
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Neuroprosthetic decoder training as imitation learning
Neuroprosthetic braincomputer interfaces function via an algorithm whic...
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Liam Paninski
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