Vahid Tarokh

Rhodes Family Distinguished Professor of Electrical and Computer Engineering

Pierre R. Lamond Department of Electrical and Computer Engineering

vahid.tarokh@duke.edu

Box 90291, Durham, NC 27708

130 Hudson Hall, Durham, NC 27708

More About This Person

At a Glance

Credentials

Academic Experience
1. Current Duke Appointments & Affiliations
2. Previous Duke Appointments & Affiliations

Global Scholarship

Keywords

Research
1. Research Interests
2. External Relationships

Scholarly Works

Teaching & Mentoring
1. Recent Courses

Recognition
1. Academic Honors

Professional Activities
1. Service to Duke

Scholarly Works - Preprints

Parabolic Continual Learning

Preprint · March 3, 2025 Link to item Cite

Elliptic Loss Regularization

Preprint · March 3, 2025 Link to item Cite

S2TX: Cross-Attention Multi-Scale State-Space Transformer for Time Series Forecasting

Preprint · February 16, 2025 Link to item Cite

Teleportation With Null Space Gradient Projection for Optimization Acceleration

Preprint · February 16, 2025 Link to item Cite

Score-Based Metropolis-Hastings Algorithms

Preprint · December 31, 2024 Link to item Cite

Learn2Mix: Training Neural Networks Using Adaptive Data Integration

Preprint · December 20, 2024 Link to item Cite

Offline Stochastic Optimization of Black-Box Objective Functions

Preprint · December 2, 2024 Link to item Cite

Indiscriminate Disruption of Conditional Inference on Multivariate Gaussians

Preprint · November 21, 2024 Link to item Cite

Asymptotically Optimal Change Detection for Unnormalized Pre- and Post-Change Distributions

Preprint · October 18, 2024 Link to item Cite

Steinmetz Neural Networks for Complex-Valued Data

Preprint · September 16, 2024 Link to item Cite

DynamicFL: Federated Learning with Dynamic Communication Resource Allocation

Preprint · September 8, 2024 Link to item Cite

Distributionally Robust Optimization as a Scalable Framework to Characterize Extreme Value Distributions

Preprint · July 31, 2024 Link to item Cite

Generative Learning for Simulation of Vehicle Faults

Preprint · July 24, 2024 Link to item Cite

Base Models for Parabolic Partial Differential Equations

Preprint · July 16, 2024 Link to item Cite

Robust Score-Based Quickest Change Detection

Preprint · July 14, 2024 Link to item Cite

RASPNet: A Benchmark Dataset for Radar Adaptive Signal Processing Applications

Preprint · June 13, 2024 Link to item Cite

ColA: Collaborative Adaptation with Gradient Learning

Preprint · April 21, 2024 Link to item Cite

Neural McKean-Vlasov Processes: Distributional Dependence in Diffusion Processes

Preprint · April 14, 2024 Link to item Cite

Large Deviation Analysis of Score-based Hypothesis Testing

Preprint · January 27, 2024 Link to item Cite

Data-Driven Target Localization: Benchmarking Gradient Descent Using the Cramer-Rao Bound

Preprint · January 20, 2024 Link to item Cite

Random Linear Projections Loss for Hyperplane-Based Optimization in Neural Networks

Preprint · November 21, 2023 Link to item Cite

CATE Estimation With Potential Outcome Imputation From Local Regression

Preprint · November 6, 2023 Link to item Cite

Off-Policy Evaluation for Human Feedback

Preprint · October 10, 2023 Link to item Cite

Perceiver-based CDF Modeling for Time Series Forecasting

Preprint · October 2, 2023 Link to item Cite

Fundamental absorption bandwidth to thickness limit for transparent homogeneous layers

Preprint · August 28, 2023 Link to item Cite

Treatment Effects in Extreme Regimes

Preprint · June 20, 2023 Link to item Cite

Causal Mediation Analysis with Multi-dimensional and Indirectly Observed Mediators

Preprint · June 13, 2023 Link to item Cite

Robust Reinforcement Learning through Efficient Adversarial Herding

Preprint · June 12, 2023 Link to item Cite

Robust Quickest Change Detection for Unnormalized Models

Preprint · June 8, 2023 Link to item Cite

Deep Generalized Green's Functions

Preprint · June 5, 2023 Link to item Cite

Inference and Sampling of Point Processes from Diffusion Excursions

Preprint · June 1, 2023 Link to item Cite

Mode-Aware Continual Learning for Conditional Generative Adversarial Networks

Preprint · May 18, 2023 Link to item Cite

Neural Network Accelerated Process Design of Polycrystalline Microstructures

Preprint · April 11, 2023 Link to item Cite

Subspace Perturbation Analysis for Data-Driven Radar Target Localization

Preprint · March 14, 2023 Link to item Cite

Pruning Deep Neural Networks from a Sparsity Perspective

Preprint · February 10, 2023 Link to item Cite

PASTA: Pessimistic Assortment Optimization

Preprint · February 7, 2023 Link to item Cite

Domain Adaptation via Rebalanced Sub-domain Alignment

Preprint · February 3, 2023 Link to item Cite

Quickest Change Detection for Unnormalized Statistical Models

Preprint · February 1, 2023 Link to item Cite

Personalized Federated Recommender Systems with Private and Partially Federated AutoEncoders

Preprint · December 16, 2022 Link to item Cite

Minimax Concave Penalty Regularized Adaptive System Identification

Preprint · November 7, 2022 Link to item Cite

Transfer Learning for Individual Treatment Effect Estimation

Preprint · October 1, 2022 Link to item Cite

Data-Driven Target Localization Using Adaptive Radar Processing and Convolutional Neural Networks

Preprint · September 6, 2022 Link to item Cite

A Theoretical Understanding of Neural Network Compression from Sparse Linear Approximation

Preprint · June 11, 2022 Link to item Cite

Inference and Sampling for Archimax Copulas

Preprint · May 27, 2022 Link to item Cite

On The Energy Statistics of Feature Maps in Pruning of Neural Networks with Skip-Connections

Preprint · January 26, 2022 Link to item Cite

Toward Data-Driven STAP Radar

Preprint · January 25, 2022 Link to item Cite

Multi-Agent Adversarial Attacks for Multi-Channel Communications

Preprint · January 22, 2022 Link to item Cite

A Physics-Informed Vector Quantized Autoencoder for Data Compression of Turbulent Flow

Preprint · January 10, 2022 Link to item Cite

Emulating Spatio-Temporal Realizations of Three-Dimensional Isotropic Turbulence via Deep Sequence Learning Models

Preprint · December 6, 2021 Link to item Cite