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

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

Interpretable deep learning for deconvolution of multiplexed neural signals

Learning Silhouettes with Group Sparse Autoencoders

SHAPER: can you hear the shape of a jet?

Learning Linear Groups in Neural Networks

Clustering Inductive Biases with Unrolled 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

Title

Journal

Author(s)

Publication Date

An Efficient Algorithm For Clustered Multi-Task Compressive Sensing

Alexander Lin

Demba Ba

2024/4/14

Interpretable deep learning for deconvolutional analysis of neural signals

bioRxiv

Bahareh Tolooshams

Sara Matias

Hao Wu

Simona Temereanca

Naoshige Uchida

...

2024/1/6

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

Alexander Lin

Bahareh Tolooshams

Yves Atchadé

Demba E Ba

2023/7/3

Interpretable deep learning for deconvolution of multiplexed neural signals

Computational and Systems Neuroscience Abstracts

Bahareh Tolooshams

Sara Matias

Hao Wu

Naoshige Uchida

Venkatesh N Murthy

...

2023

Learning Silhouettes with Group Sparse Autoencoders

Emmanouil Theodosis

Demba Ba

2023/6/4

SHAPER: can you hear the shape of a jet?

Journal of High Energy Physics

Demba Ba

Akshunna S Dogra

Rikab Gambhir

Abiy Tasissa

Jesse Thaler

2023/6

Learning Linear Groups in Neural Networks

arXiv preprint arXiv:2305.18552

Emmanouil Theodosis

Karim Helwani

Demba Ba

2023/5/29

Clustering Inductive Biases with Unrolled Networks

arXiv preprint arXiv:2402.10213

Jonathan Huml

Abiy Tasissa

Demba Ba

2023/11/30

Unrolled compressed blind-deconvolution

IEEE Transactions on Signal Processing

Bahareh Tolooshams

Satish Mulleti

Demba Ba

Yonina C Eldar

2023/5/23

K-Deep Simplex: Manifold Learning via Local Dictionaries

IEEE Transactions on Signal Processing

Abiy Tasissa

Pranay Tankala

James M Murphy

Demba Ba

2023/10/12

Sparse, Geometric Autoencoder Models of V1

arXiv preprint arXiv:2302.11162

Jonathan Huml

Abiy Tasissa

Demba Ba

2023/2/22

Mixture model auto-encoders: Deep clustering through dictionary learning

Alexander Lin

Andrew H Song

Demba Ba

2022/5/23

Interpretable unrolled dictionary learning networks

Conference on the Mathematical Theory of Deep Neural Networks Abstracts

Bahareh Tolooshams

Demba Ba

2022

Learning unfolded networks with a cyclic group structure

arXiv preprint arXiv:2211.09238

Emmanouil Theodosis

Demba Ba

2022/11/16

Local Geometry Constraints in V1 with Deep Recurrent Autoencoders

Jonathan Raymond Huml

Demba E Ba

2022/10/18

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

Proceedings of the 31st Annual Meeting of ISMRM

Alexander Lin

Demba Ba

Berkin Bilgic

2022

Learning filter-based compressed blind-deconvolution

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

Bahareh Tolooshams

Satish Mulleti

Demba Ba

Yonina Eldar

2022/9/28

Unsupervised sparse deconvolutional learning of features driving neural activity

Computational and Systems Neuroscience Abstracts

Bahareh Tolooshams

Hao Wu

Naoshige Uchida

Venkatesh N Murthy

Paul Masset

...

2022

Covariance-free sparse Bayesian learning

IEEE Transactions on Signal Processing

Alexander Lin

Andrew H Song

Berkin Bilgic

Demba Ba

2022/6/27

High-dimensional sparse Bayesian learning without covariance matrices

Alexander Lin

Andrew H Song

Berkin Bilgic

Demba Ba

2022/5/23

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