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Vahid Tarokh

Duke University

Semi-Empirical Objective Functions for MCMC Proposal Optimization


Jun 03, 2021
Chris Cannella, Vahid Tarokh

* 26 pages, 15 tables, 16 figures 

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SemiFL: Communication Efficient Semi-Supervised Federated Learning with Unlabeled Clients


Jun 02, 2021
Enmao Diao, Jie Ding, Vahid Tarokh


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Gradient Assisted Learning


Jun 02, 2021
Enmao Diao, Jie Ding, Vahid Tarokh


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Towards Explainable Convolutional Features for Music Audio Modeling


May 31, 2021
Anna K. Yanchenko, Mohammadreza Soltani, Robert J. Ravier, Sayan Mukherjee, Vahid Tarokh

* Code available at https://github.com/aky4wn/convolutions-for-music-audio 

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Neural Architecture Search From Fréchet Task Distance


Mar 25, 2021
Cat P. Le, Mohammadreza Soltani, Robert Ravier, Trevor Standley, Silvio Savarese, Vahid Tarokh


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Neural Architecture Search From Task Similarity Measure


Mar 15, 2021
Cat P. Le, Mohammadreza Soltani, Robert Ravier, Vahid Tarokh


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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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