Adam S. Charles

Alejandro Estrada Berlanga

CoRR, April, 2026

Behavior-dLDS: A decomposed linear dynamical systems model for neural activity partially constrained by behavior.

[BibT_eX]

[DOI]

CoRR, March, 2026

Multi-Integration of Labels across Categories for Component Identification (MILCCI).

[BibT_eX]

[DOI]

CoRR, February, 2026

Multiway Multislice PHATE: Visualizing Hidden Dynamics of RNNs through Training.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2026

Fast and accessible morphology-free functional fluorescence imaging analysis.

[BibT_eX]

[DOI]

Kishore V. Kuchibhotla

David Kleinfeld

PLoS Comput. Biol., 2026

2025

Data mining the functional architecture of the brain's circuitry.

[BibT_eX]

[DOI]

Proceedings of the 2025 SIAM International Conference on Data Mining, 2025

CREIMBO: Cross-Regional Ensemble Interactions in Multi-view Brain Observations.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

LINOCS: Lookahead Inference of Networked Operators for Continuous Stability.

[BibT_eX]

[DOI]

Eva Yezerets

Yenho Chen

Christopher John Rozell

Adam Shabti Charles

Trans. Mach. Learn. Res., 2024

Sparse-Coding Variational Autoencoders.

[BibT_eX]

[DOI]

Neural Comput., 2024

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

[BibT_eX]

[DOI]

Yenho Chen

Eva Yezerets

J. Mach. Learn. Res., 2024

Unsupervised discovery of the shared and private geometry in multi-view data.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

realSEUDO for real-time calcium imaging analysis.

[BibT_eX]

[DOI]

Iuliia Dmitrieva

Sergey Babkin

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Probabilistic Decomposed Linear Dynamical Systems for Robust Discovery of Latent Neural Dynamics.

[BibT_eX]

[DOI]

Yenho Chen

Kyle A. Johnsen

Sankaraleengam Alagapan

Christopher Rozell

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

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

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Cellular-Resolution Image-Guided Localization in the Primate Brain.

[BibT_eX]

[DOI]

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

2023

Prospective Learning: Principled Extrapolation to the Future.

[BibT_eX]

[DOI]

Proceedings of the Conference on Lifelong Learning Agents, 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]

Marshall G. Hussain Shuler

CoRR, 2022

Prospective Learning: Back to the Future.

[BibT_eX]

[DOI]

Ralph Etienne-Cummings

Kaleab Alemayehu Kinfu

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]

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]

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]

CoRR, 2018

Sparse Dynamic Filtering via Earth Mover's Distance Regularization.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Distributed Sequence Memory of Multidimensional Inputs in Recurrent Networks.

[BibT_eX]

[DOI]

Dong Yin

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]

Nicholas P. Bertrand

John Lee

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]

Aurele Balavoine

IEEE Trans. Signal Process., 2016

2015

Dynamics and correlations in sparse signal acquisition.

[BibT_eX]

[DOI]

PhD thesis, 2015

2014

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

[BibT_eX]

[DOI]

Han Lun Yap

Neural Comput., 2014

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

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2014

Can random linear networks store multiple long input streams?

[BibT_eX]

[DOI]

Dong Yin

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]

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]

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]

Pierre Garrigues

Neural Comput., 2012

Low Power Sparse Approximation on Reconfigurable Analog Hardware.

[BibT_eX]

[DOI]

Samuel A. Shapero

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

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

2011

Learning Sparse Codes for Hyperspectral Imagery.

[BibT_eX]

[DOI]

Bruno A. Olshausen

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

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

[BibT_eX]

[DOI]

Muhammad Salman Asif

Justin K. Romberg

Proceedings of the IEEE International Conference on Acoustics, 2011

Sparsity penalties in dynamical system estimation.

[BibT_eX]

[DOI]

Muhammad Salman Asif

Justin K. Romberg