Adam S. Charles

Orcid: 0000-0002-9045-3489

According to our database¹, Adam S. Charles authored at least 28 papers between 2011 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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On csauthors.net:

Bibliography

2024

Deep and shallow data science for multi-scale optical neuroscience.

[BibT_eX]

[DOI]

Gal Mishne

Adam S. Charles

CoRR, 2024

2023

SiBBlInGS: Similarity-driven Building-Block Inference using Graphs across States.

[BibT_eX]

[DOI]

Noga Mudrik

Gal Mishne

Adam S. Charles

CoRR, 2023

2022

GraFT: Graph Filtered Temporal Dictionary Learning for Functional Neural Imaging.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2022

Multi-Lingual DALL-E Storytime.

[BibT_eX]

[DOI]

Noga Mudrik

Adam S. Charles

CoRR, 2022

Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics.

[BibT_eX]

[DOI]

Noga Mudrik

Yenho Chen

Eva Yezerets

Christopher J. Rozell

Adam S. Charles

CoRR, 2022

2021

An Efficient and Flexible Spike Train Model Via Empirical Bayes.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2021

2020

Efficient Tracking of Sparse Signals via an Earth Mover's Distance Dynamics Regularizer.

[BibT_eX]

[DOI]

Christopher J. Rozell

IEEE Signal Process. Lett., 2020

Optimal Adaptive Electrode Selection to Maximize Simultaneously Recorded Neuron Yield.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Visualizing the PHATE of Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning Spatially-correlated Temporal Dictionaries for Calcium Imaging.

[BibT_eX]

[DOI]

Gal Mishne

Adam S. Charles

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Dethroning the Fano Factor: A Flexible, Model-Based Approach to Partitioning Neural Variability.

[BibT_eX]

[DOI]

Neural Comput., 2018

Interpreting Deep Learning: The Machine Learning Rorschach Test?

[BibT_eX]

[DOI]

Adam S. Charles

CoRR, 2018

Sparse Dynamic Filtering via Earth Mover's Distance Regularization.

[BibT_eX]

[DOI]

Christopher J. Rozell

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Distributed Sequence Memory of Multidimensional Inputs in Recurrent Networks.

[BibT_eX]

[DOI]

Adam S. Charles

Dong Yin

Christopher J. Rozell

J. Mach. Learn. Res., 2017

Stochastic filtering of two-photon imaging using reweighted ℓ1.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Earth-Mover's distance as a tracking regularizer.

[BibT_eX]

[DOI]

Adam S. Charles

Nicholas P. Bertrand

John Lee

Christopher J. Rozell

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016

Dynamic Filtering of Time-Varying Sparse Signals via ℓ<sub>1</sub> Minimization.

[BibT_eX]

[DOI]

Adam S. Charles

Aurele Balavoine

Christopher J. Rozell

IEEE Trans. Signal Process., 2016

2014

Short-Term Memory Capacity in Networks via the Restricted Isometry Property.

[BibT_eX]

[DOI]

Adam S. Charles

Han Lun Yap

Christopher J. Rozell

Neural Comput., 2014

Spectral Superresolution of Hyperspectral Imagery Using Reweighted ℓ<sub>1</sub> Spatial Filtering.

[BibT_eX]

[DOI]

Adam S. Charles

Christopher J. Rozell

IEEE Geosci. Remote. Sens. Lett., 2014

Can random linear networks store multiple long input streams?

[BibT_eX]

[DOI]

Adam S. Charles

Dong Yin

Christopher J. Rozell

Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Convergence of basis pursuit de-noising with dynamic filtering.

[BibT_eX]

[DOI]

Adam S. Charles

Christopher J. Rozell

Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

2013

Dynamic filtering of sparse signals using reweighted ℓ1.

[BibT_eX]

[DOI]

Adam S. Charles

Christopher J. Rozell

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

A Common Network Architecture Efficiently Implements a Variety of Sparsity-Based Inference Problems.

[BibT_eX]

[DOI]

Adam S. Charles

Pierre Garrigues

Christopher J. Rozell

Neural Comput., 2012

Low Power Sparse Approximation on Reconfigurable Analog Hardware.

[BibT_eX]

[DOI]

Samuel A. Shapero

Adam S. Charles

Christopher J. Rozell

Paul E. Hasler

IEEE J. Emerg. Sel. Topics Circuits Syst., 2012

The Restricted Isometry Property for Echo State Networks with applications to sequence memory capacity.

[BibT_eX]

[DOI]

Han Lun Yap

Adam S. Charles

Christopher J. Rozell

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

2011

Learning Sparse Codes for Hyperspectral Imagery.

[BibT_eX]

[DOI]

Adam S. Charles

Bruno A. Olshausen

Christopher J. Rozell

IEEE J. Sel. Top. Signal Process., 2011

Estimation and dynamic updating of time-varying signals with sparse variations.

[BibT_eX]

[DOI]

Muhammad Salman Asif

Adam S. Charles

Justin K. Romberg

Christopher J. Rozell

Proceedings of the IEEE International Conference on Acoustics, 2011

Sparsity penalties in dynamical system estimation.

[BibT_eX]

[DOI]

Adam S. Charles

Muhammad Salman Asif

Justin K. Romberg

Christopher J. Rozell

Proceedings of the 45st Annual Conference on Information Sciences and Systems, 2011

Adam S. Charles

Timeline

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