Liam Paninski
According to our database1,
Liam Paninski
authored at least 112 papers
between 2001 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2023
Bypassing spike sorting: Density-based decoding using spike localization from dense multielectrode probes.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Towards robust and generalizable representations of extracellular data using contrastive learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Learning Probabilistic Piecewise Rigid Atlases of Model Organisms via Generative Deep Networks.
Proceedings of the Information Processing in Medical Imaging, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Multimodal Microscopy Image Alignment Using Spatial and Shape Information and a Branch-and-Bound Algorithm.
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
Blind demixing methods for recovering dense neuronal morphology from barcode imaging data.
PLoS Comput. Biol., 2022
2021
Partitioning variability in animal behavioral videos using semi-supervised variational autoencoders.
PLoS Comput. Biol., 2021
PLoS Comput. Biol., 2021
Nonlinear Decoding of Natural Images From Large-Scale Primate Retinal Ganglion Recordings.
Neural Comput., 2021
J. Mach. Learn. Res., 2021
Three-dimensional spike localization and improved motion correction for Neuropixels recordings.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
2020
Localized semi-nonnegative matrix factorization (LocaNMF) of widefield calcium imaging data.
PLoS Comput. Biol., 2020
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020
Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose tracking.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Recurrent Switching Dynamical Systems Models for Multiple Interacting Neural Populations.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Demixing Calcium Imaging Data in C. elegans via Deformable Non-negative Matrix Factorization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
2019
Scalable Bayesian inference of dendritic voltage via spatiotemporal recurrent state space models.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Symposium on Advances in Approximate Bayesian Inference, 2019
Proceedings of the Symposium on Advances in Approximate Bayesian Inference, 2019
2018
Community-based benchmarking improves spike rate inference from two-photon calcium imaging data.
PLoS Comput. Biol., 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
2017
Electrical stimulus artifact cancellation and neural spike detection on large multi-electrode arrays.
PLoS Comput. Biol., 2017
Multi-scale approaches for high-speed imaging and analysis of large neural populations.
PLoS Comput. Biol., 2017
Neural Networks for Efficient Bayesian Decoding of Natural Images from Retinal Neurons.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 5th International Conference on Learning Representations, 2017
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
2015
Efficient "Shotgun" Inference of Neural Connectivity from Highly Sub-sampled Activity Data.
PLoS Comput. Biol., 2015
2014
J. Comput. Neurosci., 2014
J. Comput. Neurosci., 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
2013
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
Sparse nonnegative deconvolution for compressive calcium imaging: algorithms and phase transitions.
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
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
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
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
Proceedings of the 2013 Asilomar Conference on Signals, 2013
2012
EMG Prediction From Motor Cortical Recordings via a Nonnegative Point-Process Filter.
IEEE Trans. Biomed. Eng., 2012
PLoS Comput. Biol., 2012
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
Fast interior-point inference in high-dimensional sparse, penalized state-space models.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
Modeling the impact of common noise inputs on the network activity of retinal ganglion cells.
J. Comput. Neurosci., 2012
Inferring synaptic inputs given a noisy voltage trace via sequential Monte Carlo methods.
J. Comput. Neurosci., 2012
A Bayesian compressed-sensing approach for reconstructing neural connectivity from subsampled anatomical data.
J. Comput. Neurosci., 2012
Optimal experimental design for sampling voltage on dendritic trees in the low-SNR regime.
J. Comput. Neurosci., 2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Proceedings of the 46th Annual Conference on Information Sciences and Systems, 2012
2011
Model-Based Decoding, Information Estimation, and Change-Point Detection Techniques for Multineuron Spike Trains.
Neural Comput., 2011
Hidden Markov Models for the Stimulus-Response Relationships of Multistate Neural Systems.
Neural Comput., 2011
Neural Comput., 2011
J. Comput. Neurosci., 2011
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
Efficient computation of the maximum a posteriori path and parameter estimation in integrate-and-fire and more general state-space models.
J. Comput. Neurosci., 2010
2009
Bayesian Image Recovery for Dendritic Structures Under Low Signal-to-Noise Conditions.
IEEE Trans. Image Process., 2009
PLoS Comput. Biol., 2009
Mean-Field Approximations for Coupled Populations of Generalized Linear Model Spiking Neurons with Markov Refractoriness.
Neural Comput., 2009
2008
IEEE Trans. Inf. Theory, 2008
Integral equation methods for computing likelihoods and their derivatives in the stochastic integrate-and-fire model.
J. Comput. Neurosci., 2008
Designing neurophysiology experiments to optimally constrain receptive field models along parametric submanifolds.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
2007
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007
2006
The Spike-Triggered Average of the Integrate-and-Fire Cell Driven by Gaussian White Noise.
Neural Comput., 2006
The most likely voltage path and large deviations approximations for integrate-and-fire neurons.
J. Comput. Neurosci., 2006
Real-time adaptive information-theoretic optimization of neurophysiology experiments.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
2005
IEEE Trans. Biomed. Eng., 2005
Comparing integrate-and-fire models estimated using intracellular and extracellular data.
Neurocomputing, 2005
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005
Large-scale biophysical parameter estimation in single neurons via constrained linear regression.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005
2004
IEEE Trans. Inf. Theory, 2004
Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Encoding Model.
Neural Comput., 2004
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004
Log-concavity Results on Gaussian Process Methods for Supervised and Unsupervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004
2003
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003
2002
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002
2001