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Vahid Tarokh

Duke University

Generative Archimedean Copulas

Feb 24, 2021
Yuting Ng, Ali Hasan, Khalil Elkhalil, Vahid Tarokh


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Deep Extreme Value Copulas for Estimation and Sampling

Feb 17, 2021
Ali Hasan, Khalil Elkhalil, Joao M. Pereira, Sina Farsiu, Jose H. Blanchet, Vahid Tarokh


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On Statistical Efficiency in Learning

Dec 24, 2020
Jie Ding, Enmao Diao, Jiawei Zhou, Vahid Tarokh

* to be published by the IEEE Transactions on Information Theory 

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Task-Aware Neural Architecture Search

Oct 27, 2020
Cat P. Le, Mohammadreza Soltani, Robert Ravier, Vahid Tarokh


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HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients

Oct 03, 2020
Enmao Diao, Jie Ding, Vahid Tarokh


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Projected Latent Markov Chain Monte Carlo: Conditional Inference with Normalizing Flows

Jul 21, 2020
Chris Cannella, Mohammadreza Soltani, Vahid Tarokh

* 21 pages, 12 figures, 4 tables 

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An Interpretable Baseline for Time Series Classification Without Intensive Learning

Jul 13, 2020
Robert J. Ravier, Mohammadreza Soltani, Miguel Antunes Dias Alfaiate, Denis Garagic, Vahid Tarokh

* 21 pages, 9 tables, 4 figures 

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Deep Cross-Subject Mapping of Neural Activity

Jul 13, 2020
Marko Angjelichinoski, Bijan Pesaran, Vahid Tarokh

* Submitted to NeurIPS 2020: (15 pages, 7 figures, 5 tables) 

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Fisher Auto-Encoders

Jul 12, 2020
Khalil Elkhalil, Ali Hasan, Jie Ding, Sina Farsiu, Vahid Tarokh


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Learning latent stochastic differential equations with variational auto-encoders

Jul 12, 2020
Ali Hasan, João M. Pereira, Sina Farsiu, Vahid Tarokh


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Model Linkage Selection for Cooperative Learning

Jun 14, 2020
Jiaying Zhou, Jie Ding, Kean Ming Tan, Vahid Tarokh


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Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization

Feb 26, 2020
Yi Zhou, Zhe Wang, Kaiyi Ji, Yingbin Liang, Vahid Tarokh


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Robust Marine Buoy Placement for Ship Detection Using Dropout K-Means

Feb 20, 2020
Yuting Ng, João M. Pereira, Denis Garagic, Vahid Tarokh

* ICASSP 2020 

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Multimodal Controller for Generative Models

Feb 07, 2020
Enmao Diao, Jie Ding, Vahid Tarokh


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Cross-subject Decoding of Eye Movement Goals from Local Field Potentials

Nov 21, 2019
Marko Angjelichinoski, John Choi, Taposh Banerjee, Bijan Pesaran, Vahid Tarokh

* Updated author list 

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A Distributed Online Convex Optimization Algorithm with Improved Dynamic Regret

Nov 12, 2019
Yan Zhang, Robert J. Ravier, Michael M. Zavlanos, Vahid Tarokh


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Deep Clustering of Compressed Variational Embeddings

Oct 23, 2019
Suya Wu, Enmao Diao, Jie Ding, Vahid Tarokh

* Submitted to the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, May 2020 

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Learning Partial Differential Equations from Data Using Neural Networks

Oct 22, 2019
Ali Hasan, João M. Pereira, Robert Ravier, Sina Farsiu, Vahid Tarokh


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Perception-Distortion Trade-off with Restricted Boltzmann Machines

Oct 21, 2019
Chris Cannella, Jie Ding, Mohammadreza Soltani, Vahid Tarokh

* 5 pages, 1 figure 

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Speech Emotion Recognition with Dual-Sequence LSTM Architecture

Oct 20, 2019
Jianyou Wang, Michael Xue, Ryan Culhane, Enmao Diao, Jie Ding, Vahid Tarokh

* Submitted to ICASSP 2020 for review 

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Supervised Encoding for Discrete Representation Learning

Oct 15, 2019
Cat P. Le, Yi Zhou, Jie Ding, Vahid Tarokh


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Restricted Recurrent Neural Networks

Aug 21, 2019
Enmao Diao, Jie Ding, Vahid Tarokh


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Distributed Lossy Image Compression with Recurrent Networks

Mar 26, 2019
Enmao Diao, Jie Ding, Vahid Tarokh


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Momentum Schemes with Stochastic Variance Reduction for Nonconvex Composite Optimization

Feb 11, 2019
Yi Zhou, Zhe Wang, Kaiyi Ji, Yingbin Liang, Vahid Tarokh


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