Maneesh Sahani

According to our database1, Maneesh Sahani authored at least 68 papers between 1997 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Deep learning, reinforcement learning, and world models.
Neural Networks, 2022

Unsupervised representational learning with recognition-parametrised probabilistic models.
CoRR, 2022

Amortised Inference in Structured Generative Models with Explaining Away.
CoRR, 2022

Minimum Description Length Control.
CoRR, 2022

Learning neural codes for perceptual uncertainty.
Proceedings of the IEEE International Symposium on Information Theory, 2022

A First-Occupancy Representation for Reinforcement Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Divergent representations of ethological visual inputs emerge from supervised, unsupervised, and reinforcement learning.
CoRR, 2021

Probabilistic Tensor Decomposition of Neural Population Spiking Activity.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Non-reversible Gaussian processes for identifying latent dynamical structure in neural data.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Organizing recurrent network dynamics by task-computation to enable continual learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Amortised Learning by Wake-Sleep.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
A neurally plausible model for online recognition and postdiction in a dynamical environment.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A neurally plausible model learns successor representations in partially observable environments.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Kernel Instrumental Variable Regression.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning interpretable continuous-time models of latent stochastic dynamical systems.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Empirical fixed point bifurcation analysis.
CoRR, 2018

Flexible and accurate inference and learning for deep generative models.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Temporal alignment and latent Gaussian process factor inference in population spike trains.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
A Universal Marginalizer for Amortized Inference in Generative Models.
CoRR, 2017

Modelling the dynamics of integrating context into perception: in good and in poor readers.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2016
Score-matching estimators for continuous-time point-process regression models.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Convolutional higher order matching pursuit.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Scalable transformed additive signal decomposition by non-conjugate Gaussian process inference.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

2015
The Equivalence of Information-Theoretic and Likelihood-Based Methods for Neural Dimensionality Reduction.
PLoS Comput. Biol., 2015

Bayesian Manifold Learning: The Locally Linear Latent Variable Model (LL-LVM).
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014
Time-Frequency Analysis as Probabilistic Inference.
IEEE Trans. Signal Process., 2014

Efficient occlusive components analysis.
J. Mach. Learn. Res., 2014

2013
Outlier Responses Reflect Sensitivity to Statistical Structure in the Human Brain.
PLoS Comput. Biol., 2013

Regularization and nonlinearities for neural language models: when are they needed?
CoRR, 2013

Recurrent linear models of simultaneously-recorded neural populations.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Extracting regions of interest from biological images with convolutional sparse block coding.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012
Learning visual motion in recurrent neural networks.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Spectral learning of linear dynamics from generalised-linear observations with application to neural population data.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Variational Inference in Non-negative Factorial Hidden Markov Models for Efficient Audio Source Separation.
Proceedings of the 29th International Conference on Machine Learning, 2012

Decomposing signals into a sum of amplitude and frequency modulated sinusoids using probabilistic inference.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Demodulation as Probabilistic Inference.
IEEE ACM Trans. Audio Speech Lang. Process., 2011

Probabilistic amplitude and frequency demodulation.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Dynamical segmentation of single trials from population neural data.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Empirical models of spiking in neural populations.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010
Statistical inference for single- and multi-band Probabilistic Amplitude Demodulation.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
A Structured Model of Video Reproduces Primary Visual Cortical Organisation.
PLoS Comput. Biol., 2009

Occlusive Components Analysis.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2008
Maximal Causes for Non-linear Component Extraction.
J. Mach. Learn. Res., 2008

Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Fast Gaussian process methods for point process intensity estimation.
Proceedings of the Machine Learning, 2008

A factor-analysis decoder for high-performance neural prostheses.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
A Maximum-Likelihood Interpretation for Slow Feature Analysis.
Neural Comput., 2007

Modeling Natural Sounds with Modulation Cascade Processes.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

On Sparsity and Overcompleteness in Image Models.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Inferring Elapsed Time from Stochastic Neural Processes.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Neural Decoding of Movements: From Linear to Nonlinear Trajectory Models.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

Latent Identity Variables: Biometric Matching Without Explicit Identity Estimation.
Proceedings of the Advances in Biometrics, International Conference, 2007

Generalized Softmax Networks for Non-linear Component Extraction.
Proceedings of the Artificial Neural Networks, 2007

Probabilistic Amplitude Demodulation.
Proceedings of the Independent Component Analysis and Signal Separation, 2007

2005
Localization bias and spatial resolution of adaptive and non-adaptive spatial filters for MEG source reconstruction.
NeuroImage, 2005

A simple nonparametric statistical thresholding for MEG spatial-filter source reconstruction images.
NeuroImage, 2005

Extracting Dynamical Structure Embedded in Neural Activity.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

2003
Doubly Distributional Population Codes: Simultaneous Representation of Uncertainty and Multiplicity.
Neural Comput., 2003

Reconstructing MEG Sources with Unknown Correlations.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

A Biologically Plausible Algorithm for Reinforcement-shaped Representational Learning.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2002
Evidence Optimization Techniques for Estimating Stimulus-Response Functions.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

How Linear are Auditory Cortical Responses?.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Adaptation and Unsupervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2000
Spike train coherence in macaque parietal cortex during a memory saccade task.
Neurocomputing, 2000

1999
Simultaneous paired intracellular and tetrode recordings for evaluating the performance of spike sorting algorithms.
Neurocomputing, 1999

Response-locked changes in auto- and cross-covariations in parietal cortex.
Neurocomputing, 1999

1997
On the Separation of Signals from Neighboring Cells in Tetrode Recordings.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997


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