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Liam Paninski

A study of animal action segmentation algorithms across supervised, unsupervised, and semi-supervised learning paradigms

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Jul 23, 2024
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Towards a "universal translator" for neural dynamics at single-cell, single-spike resolution

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Jul 23, 2024
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SemiMultiPose: A Semi-supervised Multi-animal Pose Estimation Framework

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Apr 14, 2022
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Attentive Clustering Processes

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Oct 29, 2020
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A zero-inflated gamma model for deconvolved calcium imaging traces

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Jun 05, 2020
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Disentangled sticky hierarchical Dirichlet process hidden Markov model

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Apr 06, 2020
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General linear-time inference for Gaussian Processes on one dimension

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Mar 11, 2020
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Discrete Neural Processes

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Dec 28, 2018
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Amortized Bayesian inference for clustering models

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Nov 24, 2018
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A Novel Variational Family for Hidden Nonlinear Markov Models

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Nov 06, 2018
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