Maneesh Sahani
34 papers · 2007–2025 · 5 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 11 separate collaboration groups - the largest holds only 35% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Maneesh Sahani?
5 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 Krishna V. Shenoy, John P. Cunningham, Byron M. Yu
12 papers
· 2007–2020
· NeurIPS, ICML
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Organizing recurrent network dynamics by task-computation to enable continual learning
NeurIPS 2020
Learning interpretable continuous-time models of latent stochastic dynamical systems
ICML 2019
Temporal alignment and latent Gaussian process factor inference in population spike trains
NeurIPS 2018
Bayesian Manifold Learning: The Locally Linear Latent Variable Model (LL-LVM)
NeurIPS 2015
Extracting regions of interest from biological images with convolutional sparse block coding
NeurIPS 2013
Recurrent linear models of simultaneously-recorded neural populations
NeurIPS 2013
Learning visual motion in recurrent neural networks
NeurIPS 2012
Spectral learning of linear dynamics from generalised-linear observations with application to neural population data
NeurIPS 2012
Dynamical segmentation of single trials from population neural data
NeurIPS 2011
Empirical models of spiking in neural populations
NeurIPS 2011
Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity
NeurIPS 2008
Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes
NeurIPS 2007
6 papers whose co-authors appear nowhere else under this name
Non-Stationary Learning of Neural Networks with Automatic Soft Parameter Reset
NeurIPS 2024
Amortised Learning by Wake-Sleep
ICML 2020
Non-reversible Gaussian processes for identifying latent dynamical structure in neural data
NeurIPS 2020
A neurally plausible model for online recognition and postdiction in a dynamical environment
NeurIPS 2019
Kernel Instrumental Variable Regression
NeurIPS 2019
Inferring Elapsed Time from Stochastic Neural Processes
NeurIPS 2007