Demba Ba

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Papers (11)

1. Into the Rabbit Hull: From Task-Relevant Concepts in DINO to Minkowski Geometry cs.CV · 2025 · author #10
2. Convolutional Dictionary Learning in Hierarchical Networks cs.LG · 2019 · author #3
3. Clustering Time Series with Nonlinear Dynamics: A Bayesian Non-Parametric and Particle-Based Approach stat.ML · 2018 · author #7
4. Sequential Detection of Regime Changes in Neural Data eess.SP · 2018 · author #4
5. Scalable Convolutional Dictionary Learning with Constrained Recurrent Sparse Auto-encoders cs.LG · 2018 · author #3
6. Spike Sorting by Convolutional Dictionary Learning stat.ME · 2018 · author #3
7. Multitaper Spectral Estimation HDP-HMMs for EEG Sleep Inference stat.ML · 2018 · author #6
8. Wavelet Shrinkage and Thresholding based Robust Classification for Brain Computer Interface stat.ME · 2017 · author #4
9. Classification of Local Field Potentials using Gaussian Sequence Model stat.ME · 2017 · author #4
10. Estimating a Separably-Markov Random Field (SMuRF) from Binary Observations stat.ME · 2017 · author #5
11. A Modularized Efficient Framework for Non-Markov Time Series Estimation math.OC · 2017 · author #2

Mentions

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Frequent Coauthors

• Taposh Banerjee 3 shared papers
• Vahid Tarokh 3 shared papers
• Bahareh Tolooshams 2 shared papers
• Bijan Pesaran 2 shared papers
• John Choi 2 shared papers
• Kay M. Tye 2 shared papers
• Yingzhuo Zhang 2 shared papers
• Alexander Lin 1 shared papers
• Andrew H. Song 1 shared papers
• Andrew Lee 1 shared papers
• Andrew Song 1 shared papers
• Binxu Wang 1 shared papers
• Ekdeep S. Lubana 1 shared papers
• Francisco Flores 1 shared papers
• Gabriel Schamberg 1 shared papers
• Hugo Soulat 1 shared papers
• Javier Zazo 1 shared papers
• Jeremy Heng 1 shared papers
• John Tauber 1 shared papers
• Kay Tye 1 shared papers