Vahid Tarokh

ORCID

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 187

Top Venues

CoRR

ICASSP

NeurIPS

IEEE Trans. Inf. Theory

Publications

Shyam Venkatasubramanian, Sandeep Gogineni, Bosung Kang, Ali Pezeshki, Muralidhar Rangaswamy, Vahid Tarokh
Data-Driven Target Localization: Benchmarking Gradient Descent Using the Cramér-Rao Bound. CoRR (2024)
Suya Wu, Enmao Diao, Taposh Banerjee, Jie Ding, Vahid Tarokh
Quickest Change Detection for Unnormalized Statistical Models. IEEE Trans. Inf. Theory 70 (2) (2024)
Juncheng Dong, Weibin Mo, Zhengling Qi, Cong Shi, Ethan X. Fang, Vahid Tarokh
PASTA: Pessimistic Assortment Optimization. CoRR (2023)
Ahmed Aloui, Juncheng Dong, Cat P. Le, Vahid Tarokh
Transfer learning for individual treatment effect estimation. UAI (2023)
Ziyang Jiang, Yiling Liu, Michael Hunter Klein, Ahmed Aloui, Yiman Ren, Keyu Li, Vahid Tarokh, David E. Carlson
Causal Mediation Analysis with Multi-dimensional and Indirectly Observed Mediators. CoRR (2023)
Xingzi Xu, Ali Hasan, Khalil Elkhalil, Jie Ding, Vahid Tarokh
Characteristic Neural Ordinary Differential Equation. ICLR (2023)
Shyam Venkatasubramanian, Ahmed Aloui, Vahid Tarokh
Random Linear Projections Loss for Hyperplane-Based Optimization in Regression Neural Networks. CoRR (2023)
Juncheng Dong, Weibin Mo, Zhengling Qi, Cong Shi, Ethan X. Fang, Vahid Tarokh
PASTA: Pessimistic Assortment Optimization. ICML (2023)
Suya Wu, Enmao Diao, Taposh Banerjee, Jie Ding, Vahid Tarokh
Score-based Quickest Change Detection for Unnormalized Models. AISTATS (2023)
Juncheng Dong, Hao-Lun Hsu, Qitong Gao, Vahid Tarokh, Miroslav Pajic
Robust Reinforcement Learning through Efficient Adversarial Herding. CoRR (2023)
Enmao Diao, Ganghua Wang, Jiawei Zhang, Yuhong Yang, Jie Ding, Vahid Tarokh
Pruning Deep Neural Networks from a Sparsity Perspective. CoRR (2023)
Enmao Diao, Ganghua Wang, Jiawei Zhang, Yuhong Yang, Jie Ding, Vahid Tarokh
Pruning Deep Neural Networks from a Sparsity Perspective. ICLR (2023)
Suya Wu, Enmao Diao, Jie Ding, Taposh Banerjee, Vahid Tarokh
Robust Quickest Change Detection for Unnormalized Models. UAI (2023)
Rixi Peng, Juncheng Dong, Jordan M. Malof, Willie J. Padilla, Vahid Tarokh
Deep Generalized Green's Functions. CoRR (2023)
Ahmed Aloui, Juncheng Dong, Cat P. Le, Vahid Tarokh
Counterfactual Data Augmentation with Contrastive Learning. CoRR (2023)
Cat P. Le, Chris Cannella, Ali Hasan, Yuting Ng, Vahid Tarokh
PrACTiS: Perceiver-Attentional Copulas for Time Series. CoRR (2023)
Shyam Venkatasubramanian, Sandeep Gogineni, Bosung Kang, Ali Pezeshki, Muralidhar Rangaswamy, Vahid Tarokh
Subspace Perturbation Analysis for Data-Driven Radar Target Localization. CoRR (2023)
Junrong Lin, Mahmudul Hasan, Pinar Acar, José H. Blanchet, Vahid Tarokh
Neural Network Accelerated Process Design of Polycrystalline Microstructures. CoRR (2023)
Ali Hasan, Yu Chen, Yuting Ng, Mohamed Abdelghani, Anderson Schneider, Vahid Tarokh
Inference and sampling of point processes from diffusion excursions. UAI (2023)
Ilya Soloveychik, Vahid Tarokh
Region selection in Markov random fields: Gaussian case. J. Multivar. Anal. 196 (2023)
Qitong Gao, Ge Gao, Juncheng Dong, Vahid Tarokh, Min Chi, Miroslav Pajic
Off-Policy Evaluation for Human Feedback. CoRR (2023)
Ahmed Aloui, Ali Hasan, Yuting Ng, Miroslav Pajic, Vahid Tarokh
Individual Treatment Effects in Extreme Regimes. CoRR (2023)
Cat P. Le, Juncheng Dong, Ahmed Aloui, Vahid Tarokh
Few-Shot Continual Learning for Conditional Generative Adversarial Networks. CoRR (2023)
Qitong Gao, Ge Gao, Juncheng Dong, Vahid Tarokh, Min Chi, Miroslav Pajic
Off-Policy Evaluation for Human Feedback. NeurIPS (2023)
Yiling Liu, Juncheng Dong, Ziyang Jiang, Ahmed Aloui, Keyu Li, Michael Hunter Klein, Vahid Tarokh, David Carlson
Domain Adaptation via Rebalanced Sub-domain Alignment. CoRR (2023)
Suya Wu, Enmao Diao, Taposh Banerjee, Jie Ding, Vahid Tarokh
Quickest Change Detection for Unnormalized Statistical Models. CoRR (2023)
Yuting Ng, Ali Hasan, Vahid Tarokh
Inference and Sampling for Archimax Copulas. CoRR (2022)
Enmao Diao, Jie Ding, Vahid Tarokh
Multimodal Controller for Generative Models. CVMI (2022)
Enmao Diao, Jie Ding, Vahid Tarokh
GAL: Gradient Assisted Learning for Decentralized Multi-Organization Collaborations. NeurIPS (2022)
Mohammadreza Soltani, Suya Wu, Yuerong Li, Jie Ding, Vahid Tarokh
On The Energy Statistics of Feature Maps in Pruning of Neural Networks with Skip-Connections. DCC (2022)
Mohammadreza Momenifar, Enmao Diao, Vahid Tarokh, Andrew D. Bragg
A Physics-Informed Vector Quantized Autoencoder for Data Compression of Turbulent Flow. CoRR (2022)
Qi Le, Enmao Diao, Xinran Wang, Ali Anwar, Vahid Tarokh, Jie Ding
Personalized Federated Recommender Systems with Private and Partially Federated AutoEncoders. IEEECONF (2022)
Shyam Venkatasubramanian, Chayut Wongkamthong, Mohammadreza Soltani, Bosung Kang, Sandeep Gogineni, Ali Pezeshki, Muralidhar Rangaswamy, Vahid Tarokh
Toward Data-Driven STAP Radar. CoRR (2022)
Cat P. Le, Mohammadreza Soltani, Juncheng Dong, Vahid Tarokh
Fisher Task Distance and its Application in Neural Architecture Search. IEEE Access 10 (2022)
Ali Hasan, Khalil Elkhalil, Yuting Ng, João M. Pereira, Sina Farsiu, Jose H. Blanchet, Vahid Tarokh
Modeling extremes with d-max-decreasing neural networks. UAI (2022)
Suya Wu, Enmao Diao, Khalil Elkhalil, Jie Ding, Vahid Tarokh
Score-Based Hypothesis Testing for Unnormalized Models. IEEE Access 10 (2022)
Shun Kojima, Yi Feng, Kazuki Maruta, Kanemitsu Ootsu, Takashi Yokota, Chang-Jun Ahn, Vahid Tarokh
Towards Deep Learning-Guided Multiuser SNR and Doppler Shift Detection for Next-Generation Wireless Systems. VTC Spring (2022)
Ahmed Aloui, Juncheng Dong, Cat P. Le, Vahid Tarokh
Causal Knowledge Transfer from Task Affinity. CoRR (2022)
Shyam Venkatasubramanian, Sandeep Gogineni, Bosung Kang, Ali Pezeshki, Muralidhar Rangaswamy, Vahid Tarokh
Toward Data-Driven Radar STAP. CoRR (2022)
Juncheng Dong, Suya Wu, Mohammadreza Soltani, Vahid Tarokh
Multi-Agent Adversarial Attacks for Multi-Channel Communications. AAMAS (2022)
Qi Le, Enmao Diao, Xinran Wang, Ali Anwar, Vahid Tarokh, Jie Ding
Personalized Federated Recommender Systems with Private and Partially Federated AutoEncoders. CoRR (2022)
Chris Cannella, Vahid Tarokh
Semi-Empirical Objective Functions for MCMC Proposal Optimization. ICPR (2022)
Juncheng Dong, Suya Wu, Mohammadreza Soltani, Vahid Tarokh
Multi-Agent Adversarial Attacks for Multi-Channel Communications. CoRR (2022)
Juncheng Dong, Simiao Ren, Yang Deng, Omar Khatib, Jordan M. Malof, Mohammadreza Soltani, Willie Padilla, Vahid Tarokh
Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions. ICLR (2022)
Mohammadreza Momenifar, Enmao Diao, Vahid Tarokh, Andrew D. Bragg
A Physics-Informed Vector Quantized Autoencoder for Data Compression of Turbulent Flow. DCC (2022)
Ali Hasan, João M. Pereira, Sina Farsiu, Vahid Tarokh
Identifying Latent Stochastic Differential Equations. IEEE Trans. Signal Process. 70 (2022)
Mohammadreza Soltani, Suya Wu, Yuerong Li, Jie Ding, Vahid Tarokh
On The Energy Statistics of Feature Maps in Pruning of Neural Networks with Skip-Connections. CoRR (2022)
Wenjing Yang, Ganghua Wang, Enmao Diao, Vahid Tarokh, Jie Ding, Yuhong Yang
A Theoretical Understanding of Neural Network Compression from Sparse Linear Approximation. CoRR (2022)
Cat Phuoc Le, Juncheng Dong, Mohammadreza Soltani, Vahid Tarokh
Task Affinity with Maximum Bipartite Matching in Few-Shot Learning. ICLR (2022)
Yuting Ng, Ali Hasan, Vahid Tarokh
Inference and Sampling for Archimax Copulas. NeurIPS (2022)
Enmao Diao, Jie Ding, Vahid Tarokh
SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training. NeurIPS (2022)
Xingzi Xu, Ali Hasan, Khalil Elkhalil, Jie Ding, Vahid Tarokh
Characteristic Neural Ordinary Differential Equations. CoRR (2021)
Mohammadreza Soltani, Suya Wu, Yuerong Li, Robert J. Ravier, Jie Ding, Vahid Tarokh
Compressing Deep Networks Using Fisher Score of Feature Maps. DCC (2021)
Yuting Ng, Ali Hasan, Khalil Elkhalil, Vahid Tarokh
Generative Archimedean copulas. UAI (2021)
Jiali Xing, David Fischer, Nitya Labh, Ryan Piersma, Benjamin C. Lee, Yu Amy Xia, Tuhin Sahai, Vahid Tarokh
Talaria: A Framework for Simulation of Permissioned Blockchains for Logistics and Beyond. CoRR (2021)
Enmao Diao, Jie Ding, Vahid Tarokh
Gradient Assisted Learning. CoRR (2021)
Yang Deng, Juncheng Dong, Simiao Ren, Omar Khatib, Mohammadreza Soltani, Vahid Tarokh, Willie Padilla, Jordan M. Malof
Benchmarking Data-driven Surrogate Simulators for Artificial Electromagnetic Materials. NeurIPS Datasets and Benchmarks (2021)
Cat P. Le, Mohammadreza Soltani, Robert J. Ravier, Vahid Tarokh
Task-Aware Neural Architecture Search. ICASSP (2021)
Jiaying Zhou, Jie Ding, Kean Ming Tan, Vahid Tarokh
Model Linkage Selection for Cooperative Learning. J. Mach. Learn. Res. 22 (2021)
Cat P. Le, Mohammadreza Soltani, Robert J. Ravier, Trevor Standley, Silvio Savarese, Vahid Tarokh
Neural Architecture Search From Fréchet Task Distance. CoRR (2021)
Anna K. Yanchenko, Mohammadreza Soltani, Robert J. Ravier, Sayan Mukherjee, Vahid Tarokh
Towards Explainable Convolutional Features for Music Audio Modeling. CoRR (2021)
Shun Kojima, Yi Feng, Kazuki Maruta, Kanemitsu Ootsu, Takashi Yokota, Chang-Jun Ahn, Vahid Tarokh
Investigation of Input Signal Representation to CNN for Improving SNR Classification Accuracy. VTC Fall (2021)
Shun Kojima, Kazuki Maruta, Yi Feng, Chang-Jun Ahn, Vahid Tarokh
CNN-Based Joint SNR and Doppler Shift Classification Using Spectrogram Images for Adaptive Modulation and Coding. IEEE Trans. Commun. 69 (8) (2021)
Enmao Diao, Jie Ding, Vahid Tarokh
SemiFL: Communication Efficient Semi-Supervised Federated Learning with Unlabeled Clients. CoRR (2021)
Juncheng Dong, Simiao Ren, Yang Deng, Omar Khatib, Jordan M. Malof, Mohammadreza Soltani, Willie Padilla, Vahid Tarokh
Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions. CoRR (2021)
Chris Cannella, Vahid Tarokh
Semi-Empirical Objective Functions for MCMC Proposal Optimization. CoRR (2021)
Yuting Ng, Ali Hasan, Khalil Elkhalil, Vahid Tarokh
Generative Archimedean Copulas. CoRR (2021)
Enmao Diao, Vahid Tarokh, Jie Ding
Privacy-Preserving Multi-Target Multi-Domain Recommender Systems with Assisted AutoEncoders. CoRR (2021)
Mohammadreza Momenifar, Enmao Diao, Vahid Tarokh, Andrew D. Bragg
Emulating Spatio-Temporal Realizations of Three-Dimensional Isotropic Turbulence via Deep Sequence Learning Models. CoRR (2021)
Enmao Diao, Jie Ding, Vahid Tarokh
HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients. ICLR (2021)
Cat P. Le, Mohammadreza Soltani, Robert J. Ravier, Vahid Tarokh
Neural Architecture Search From Task Similarity Measure. CoRR (2021)
Chris Cannella, Mohammadreza Soltani, Vahid Tarokh
Projected Latent Markov Chain Monte Carlo: Conditional Sampling of Normalizing Flows. ICLR (2021)
Ali Hasan, Khalil Elkhalil, João M. Pereira, Sina Farsiu, Jose H. Blanchet, Vahid Tarokh
Deep Extreme Value Copulas for Estimation and Sampling. CoRR (2021)
Jie Ding, Enmao Diao, Jiawei Zhou, Vahid Tarokh
On Statistical Efficiency in Learning. IEEE Trans. Inf. Theory 67 (4) (2021)
Khalil Elkhalil, Ali Hasan, Jie Ding, Sina Farsiu, Vahid Tarokh
Fisher Auto-Encoders. AISTATS (2021)
Cat P. Le, Juncheng Dong, Mohammadreza Soltani, Vahid Tarokh
Task Affinity with Maximum Bipartite Matching in Few-Shot Learning. CoRR (2021)
Chin Hei Chan, Vahid Tarokh, Maosheng Xiong
Convergence Rate of Empirical Spectral Distribution of Random Matrices From Linear Codes. IEEE Trans. Inf. Theory 67 (2) (2021)
Enmao Diao, Jie Ding, Vahid Tarokh
DRASIC: Distributed Recurrent Autoencoder for Scalable Image Compression. DCC (2020)
Yuting Ng, João M. Pereira, Denis Garagic, Vahid Tarokh
Robust Marine Buoy Placement for Ship Detection Using Dropout K-Means. CoRR (2020)
Cat P. Le, Yi Zhou, Jie Ding, Vahid Tarokh
Supervised Encoding for Discrete Representation Learning. ICASSP (2020)
Suya Wu, Enmao Diao, Jie Ding, Vahid Tarokh
Deep Clustering of Compressed Variational Embeddings. DCC (2020)
Enmao Diao, Jie Ding, Vahid Tarokh
Multimodal Controller for Generative Models. CoRR (2020)
Jianyou Wang, Michael Xue, Ryan Culhane, Enmao Diao, Jie Ding, Vahid Tarokh
Speech Emotion Recognition with Dual-Sequence LSTM Architecture. ICASSP (2020)
Marko Angjelichinoski, Bijan Pesaran, Vahid Tarokh
Deep Cross-Subject Mapping of Neural Activity. CoRR (2020)
Ali Hasan, João M. Pereira, Sina Farsiu, Vahid Tarokh
Learning latent stochastic differential equations with variational auto-encoders. CoRR (2020)
Mohammadreza Soltani, Suya Wu, Jie Ding, Robert J. Ravier, Vahid Tarokh
On the Information of Feature Maps and Pruning of Deep Neural Networks. ICPR (2020)
Chris Cannella, Mohammadreza Soltani, Vahid Tarokh
Projected Latent Markov Chain Monte Carlo: Conditional Inference with Normalizing Flows. CoRR (2020)
Khalil Elkhalil, Ali Hasan, Jie Ding, Sina Farsiu, Vahid Tarokh
Fisher Auto-Encoders. CoRR (2020)
Robert J. Ravier, Mohammadreza Soltani, Miguel Antunes Dias Alfaiate, Denis Garagic, Vahid Tarokh
An Interpretable Baseline for Time Series Classification Without Intensive Learning. CoRR (2020)
Yi Zhou, Zhe Wang, Kaiyi Ji, Yingbin Liang, Vahid Tarokh
Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization. IJCAI (2020)
Chris Cannella, Jie Ding, Mohammadreza Soltani, Yi Zhou, Vahid Tarokh
Perception-Distortion Trade-Off with Restricted Boltzmann Machines. ICASSP (2020)
Seongah Jeong, Xiang Li, Jiarui Yang, Quanzheng Li, Vahid Tarokh
Sparse Representation-Based Denoising for High-Resolution Brain Activation and Functional Connectivity Modeling: A Task fMRI Study. IEEE Access 8 (2020)
Yuting Ng, João M. Pereira, Denis Garagic, Vahid Tarokh
Robust Marine Buoy Placement for Ship Detection Using Dropout K-Means. ICASSP (2020)
Jie Ding, Enmao Diao, Jiawei Zhou, Vahid Tarokh
On Statistical Efficiency in Learning. CoRR (2020)
Enmao Diao, Jie Ding, Vahid Tarokh
HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients. CoRR (2020)
Cat P. Le, Mohammadreza Soltani, Robert J. Ravier, Vahid Tarokh
Task-Aware Neural Architecture Search. CoRR (2020)
Marko Angjelichinoski, Mohammadreza Soltani, John S. Choi, Bijan Pesaran, Vahid Tarokh
Deep James-Stein Neural Networks For Brain-Computer Interfaces. ICASSP (2020)
Ali Hasan, João M. Pereira, Robert J. Ravier, Sina Farsiu, Vahid Tarokh
Learning Partial Differential Equations From Data Using Neural Networks. ICASSP (2020)
Yi Zhou, Zhe Wang, Kaiyi Ji, Yingbin Liang, Vahid Tarokh
Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization. CoRR (2020)
Yan Zhang, Robert J. Ravier, Michael M. Zavlanos, Vahid Tarokh
A Distributed Online Convex Optimization Algorithm with Improved Dynamic Regret. CDC (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Vahid Tarokh