Demba Ba

Demba Ba

Harvard University

H-index: 21

North America-United States

About Demba Ba

Demba Ba, With an exceptional h-index of 21 and a recent h-index of 17 (since 2020), a distinguished researcher at Harvard University, specializes in the field of Mathematical Signal Processing, Computational Neuroscience, Statistical Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

An Efficient Algorithm For Clustered Multi-Task Compressive Sensing

Interpretable deep learning for deconvolutional analysis of neural signals

Clustering Inductive Biases with Unrolled Networks

K-Deep Simplex: Manifold Learning via Local Dictionaries

Probabilistic unrolling: scalable, inverse-free maximum likelihood estimation for latent gaussian models

Learning Silhouettes with Group Sparse Autoencoders

SHAPER: can you hear the shape of a jet?

Learning Linear Groups in Neural Networks

Demba Ba Information

University

Position

___

Citations(all)

2178

Citations(since 2020)

1528

Cited By

1256

hIndex(all)

21

hIndex(since 2020)

17

i10Index(all)

30

i10Index(since 2020)

27

Email

University Profile Page

Google Scholar

Demba Ba Skills & Research Interests

Mathematical Signal Processing

Computational Neuroscience

Statistical Learning

Top articles of Demba Ba

An Efficient Algorithm For Clustered Multi-Task Compressive Sensing

2024/4/14

Alexander Lin
Alexander Lin

H-Index: 25

Demba Ba
Demba Ba

H-Index: 15

Interpretable deep learning for deconvolutional analysis of neural signals

bioRxiv

2024/1/6

Clustering Inductive Biases with Unrolled Networks

arXiv preprint arXiv:2402.10213

2023/11/30

Abiy Tasissa
Abiy Tasissa

H-Index: 2

Demba Ba
Demba Ba

H-Index: 15

K-Deep Simplex: Manifold Learning via Local Dictionaries

IEEE Transactions on Signal Processing

2023/10/12

Abiy Tasissa
Abiy Tasissa

H-Index: 2

Demba Ba
Demba Ba

H-Index: 15

Probabilistic unrolling: scalable, inverse-free maximum likelihood estimation for latent gaussian models

2023/7/3

Learning Silhouettes with Group Sparse Autoencoders

2023/6/4

SHAPER: can you hear the shape of a jet?

Journal of High Energy Physics

2023/6

Learning Linear Groups in Neural Networks

arXiv preprint arXiv:2305.18552

2023/5/29

Unrolled compressed blind-deconvolution

IEEE Transactions on Signal Processing

2023/5/23

Sparse, Geometric Autoencoder Models of V1

arXiv preprint arXiv:2302.11162

2023/2/22

Abiy Tasissa
Abiy Tasissa

H-Index: 2

Demba Ba
Demba Ba

H-Index: 15

Interpretable deep learning for deconvolution of multiplexed neural signals

Computational and Systems Neuroscience Abstracts

2023

Learning unfolded networks with a cyclic group structure

arXiv preprint arXiv:2211.09238

2022/11/16

Local Geometry Constraints in V1 with Deep Recurrent Autoencoders

2022/10/18

Learning filter-based compressed blind-deconvolution

IEEE transactions on signal processing: a publication of the IEEE Signal Processing Society

2022/9/28

Covariance-free sparse Bayesian learning

IEEE Transactions on Signal Processing

2022/6/27

High-dimensional sparse Bayesian learning without covariance matrices

2022/5/23

Mixture model auto-encoders: Deep clustering through dictionary learning

2022/5/23

Alexander Lin
Alexander Lin

H-Index: 25

Demba Ba
Demba Ba

H-Index: 15

Interpretable unrolled dictionary learning networks

Conference on the Mathematical Theory of Deep Neural Networks Abstracts

2022

Bahareh Tolooshams
Bahareh Tolooshams

H-Index: 5

Demba Ba
Demba Ba

H-Index: 15

Bayesian sensitivity encoding enables parameter-free, highly accelerated joint multicontrast reconstruction

Proceedings of the 31st Annual Meeting of ISMRM

2022

Unsupervised sparse deconvolutional learning of features driving neural activity

Computational and Systems Neuroscience Abstracts

2022

See List of Professors in Demba Ba University(Harvard University)