Vahid tarokh biography of michael

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Vahid tarokh biography of michael: Iran native Vahid Tarokh works

Vahid Tarokh. Associated organizations Harvard University Fields of study Communications. Categories : Biographies Communications Communication methods Wireless communication. Sequential Analysis. IEEE Access. Counterfactual Data Augmentation with Contrastive Learning. Off-Policy Evaluation for Human Feedback. Neural network accelerated process design of polycrystalline microstructures.

Materials Today Communications. Soloveychik I, Tarokh V. Region selection in Markov random fields: Gaussian case. Journal of Multivariate Analysis. Treatment Effects in Extreme Regimes. Deep Generalized Green's Functions. Domain Adaptation via Rebalanced Sub-domain Alignment. Multimodal Controller for Generative Models. In: Lecture Notes in Networks and Systems.

Inference and Sampling for Archimax Copulas. Modeling Extremes with d-max-decreasing Neural Networks. In: Data Compression Conference Proceedings. Identifying Latent Stochastic Differential Equations. Electronic Journal of Probability. Cannella C, Tarokh V. Dimension reduced turbulent flow data from deep vector quantisers. Journal of Turbulence.

Characteristic Neural Ordinary Differential Equations. Data from: Benchmarking deep learning architectures for artificial electromagnetic material problems. On Statistical Efficiency in Learning. Journal of Turbulence Generative Archimedean Copulas. Flow parameter estimation based on on-board measurements of air vehicle traversing turbulent flows.

Task-aware neural architecture search. Fisher Auto-Encoders. Model linkage selection for cooperative learning. Journal of Machine Learning Research. Task-Aware Neural Architecture Search. IEEE; Speech emotion recognition with dual-sequence LSTM architecture. Supervised Encoding for Discrete Representation Learning. Deep clustering of compressed variational embeddings.

Data Compression Conference Proceedings. Cross-subject decoding of eye movement goals from local field potentials. Journal of neural engineering. On the information of feature maps and pruning of deep neural networks. Proximal gradient algorithm with momentum and flexible parameter restart for nonconvex optimization. Deep Clustering of Compressed Variational Embeddings.

Restricted Recurrent Neural Networks. Journal of the American Statistical Association. Peak sidelobe level gumbel distribution of antenna arrays with random phase centers. Minimax-optimal decoding of movement goals from local field potentials using complex spectral features. Estimation of the evolutionary spectra with application to stationarity test.

SGD converges to global minimum in deep learning via star-convex path. Gradient information for representation and modeling. Spiderboost and momentum: Faster stochastic variance reduction algorithms. Advances in Neural Information Processing Systems. Model Selection Techniques: An Overview. Asymptotically Pseudo-Independent Matrices. Cyclostationary statistical models and algorithms for anomaly detection using multi-modal data.

Stationary Geometric Graphical Model Selection. Analysis of Multistate Autoregressive Models. Convergence of Limited Communication Gradient Methods. Pseudo-Wigner Matrices. Symmetric Pseudo-Random Matrices. Modeling nonlinearity in multi-dimensional dependent data. Optimal prediction of data with unknown abrupt change points. Detecting structural changes in dependent data.

Large Deviations of Convex Polyominoes. In: GlobalSIP. AAAI Press; On data-dependent random features for improved generalization in supervised learning. Model Selection Techniques - An Overview. Shahrampour S, Tarokh V. Learning bounds for greedy approximation with explicit feature maps from multiple kernels. On variability of renewable energy and online power allocation.

The number of independent sets in hexagonal graphs. Pseudo-wigner matrices from dual BCH codes. Explicit symmetric pseudo-random matrices. Nonlinear sequential accepts and rejects for identification of top arms in stochastic bandits. On the spectral norms of pseudo-wigner and related matrices. International Journal of Wireless Information Networks.

Inferring the causality network of Abeta and Tau accumulation in the aging brain: a statistical inference approach. Analysis of a privacy-preserving PCA algorithm using random matrix theory. Robustness analysis for an online decentralized descent power allocation algorithm. Robust interferometric imaging via prior-less phase recovery: Redundant spacing calibration with generalized-closure phases.

Monthly Notices of the Royal Astronomical Society. On optimal generalizability in parametric learning.

Vahid tarokh biography of michael: Vahid Tarokh received the PhD

On Optimal Generalizability in Parametric Learning. Dictionary learning and sparse coding-based denoising for high-resolution task functional connectivity MRI analysis. In: ISIT. Springer; Scaling laws and phase transitions for target detection in MIMO radar. Resolving phase ambiguities in the calibration of redundant interferometric arrays: Implications for array design.

Convergence of limited communications gradient methods. In: Proceedings of the American Control Conference. Base camp quality of life standardization and improvement. An adaptive localization technique for wireless capsule endoscopy. Complementary lattice arrays for coded aperture imaging. Distributed resource allocation using one-way communication with applications to power networks.

Data-driven learning of the number of states in multi-state autoregressive models. In: CISS. In: ITA. A novel cyber physical system for 3-D imaging of the small intestine in vivo. MIT Technology Review. July Retrieved Duke Electrical and Computer Engineering. ISBN The Mathematics Genealogy Project. Harvard Magazine. National Academy of Engineering.

Moore Distinguished Scholars. Peak sidelobe level gumbel distribution of antenna arrays with random phase centers. Estimation of the evolutionary spectra with application to stationarity test. Spiderboost and momentum: Faster stochastic variance reduction algorithms. Advances in Neural Information Processing Systems. SGD converges to global minimum in deep learning via star-convex path.

Gradient information for representation and modeling. Model Selection Techniques: An Overview. Asymptotically Pseudo-Independent Matrices. Cyclostationary statistical models and algorithms for anomaly detection using multi-modal data. Stationary Geometric Graphical Model Selection. Analysis of Multistate Autoregressive Models. Convergence of Limited Communication Gradient Methods.

Symmetric Pseudo-Random Matrices. Pseudo-Wigner Matrices. Optimal prediction of data with unknown abrupt change points. Detecting structural changes in dependent data. Modeling nonlinearity in multi-dimensional dependent data. Large Deviations of Convex Polyominoes. On variability of renewable energy and online power allocation. Shahrampour S, Tarokh V.

On data-dependent random features for improved generalization in supervised learning. Model Selection Techniques - An Overview. Learning bounds for greedy approximation with explicit feature maps from multiple kernels. In: GlobalSIP. AAAI Press; Pseudo-wigner matrices from dual BCH codes. The number of independent sets in hexagonal graphs.

Explicit symmetric pseudo-random matrices. Nonlinear sequential accepts and rejects for identification of top arms in stochastic bandits. On the spectral norms of pseudo-wigner and related matrices. International Journal of Wireless Information Networks.

Vahid tarokh biography of michael: Vahid Tarokh's research is

Inferring the causality network of Abeta and Tau accumulation in the aging brain: a statistical inference approach. Analysis of a privacy-preserving PCA algorithm using vahid tarokh biography of michael matrix theory. Robustness analysis for an online decentralized descent power allocation algorithm. Robust interferometric imaging via prior-less phase recovery: Redundant spacing calibration with generalized-closure phases.

Monthly Notices of the Royal Astronomical Society. On optimal generalizability in parametric learning. On Optimal Generalizability in Parametric Learning. In: ISIT. Dictionary learning and sparse coding-based denoising for high-resolution task functional connectivity MRI analysis. Springer; Scaling laws and phase transitions for target detection in MIMO radar.

Resolving phase ambiguities in the calibration of redundant interferometric arrays: Implications for array design. Convergence of limited communications gradient methods. In: Proceedings of the American Control Conference. Base camp quality of life standardization and improvement. An adaptive localization technique for wireless capsule endoscopy.

Complementary lattice arrays for coded aperture imaging. Distributed resource allocation using one-way communication with applications to power networks. Data-driven learning of the number of states in multi-state autoregressive models. In: ITA. In: CISS. A novel cyber physical system for 3-D imaging of the small intestine in vivo. In vivo and in situ measurement and modelling of intra-body effective complex permittivity.

Healthcare technology letters. Sequential learning of Multi-state autoregressive time series. IEEE signal processing letters. Peak sidelobe level gumbel distribution for arrays of randomly placed antennas. Capacity of Hexagonal Checkerboard Codes. Bayesian-based localization of wireless capsule endoscope using received signal strength.

Compressed sensing techniques for image reconstruction in optical interferometry. Compressed sensing reconstruction for undersampled breath-hold radial cine imaging with auxiliary free-breathing data. An environmentally friendly approach to the relay-aided cellular network architecture. The design of environmentally friendly networks using coordinated multi-point CoMP transmission.

An augmented Lagrangian based compressed sensing reconstruction for non-Cartesian magnetic resonance imaging without gridding and regridding at every iteration. PloS one. Akcakaya M, Tarokh V. Distortion-based achievability conditions for joint estimation of sparse signals and measurement parameters from undersampled acquisitions.

Analysis of the impact of nonlinearity on the capacity of communication channels. New Conditions for Sparse Phase Retrieval. Accelerated aortic flow assessment with compressed sensing with and without use of the sparsity of the complex difference image. Magnetic resonance in medicine. On the effects of frequency scaling over capacity scaling in underwater networks - Part I: Extended network model.

Wireless Personal Communications. On the effects of frequency scaling over capacity scaling in underwater networks - Part II: Dense network model. Energy-efficient base-station topologies for green cellular networks. On frequency offset estimation for OFDM. Babadi B, Tarokh V. Spectral distribution of product of pseudorandom matrices formed from binary block codes.

A highly scalable key pre-distribution scheme for wireless sensor networks. Analysis of network coded HARQ for multiple unicast flows. Near field resonator isolation system: Theory to implementation. Compressed sensing reconstruction for whole-heart imaging with 3D radial trajectories: a graphics processing unit implementation. Capacity analysis for Gaussian channels with memoryless nonlinear hardware.

Rate assignment in wireless networks: Stability analysis and controller design. Two-stage constellation partition algorithm for reduced-complexity multiple-input multiple-output—maximum-likelihood detection systems. IET Communications. Energy harvesting cooperative communications. Semidefinite programming-based localization algorithm in networks with inhomogeneous media.

Nadimi ES, Tarokh V. Bayesian source localization in networks with heterogeneous transmission medium. Navigation, Journal of the Institute of Navigation. Interference aware-coordinated beamforming in a multi-cell system. A practical transmit beamforming strategy for closed-loop MIMO communication. International Journal of Communication Systems.

Bounds on the capacity of discrete memoryless channels corrupted by synchronization and substitution errors. Vertical spectrum sharing via distributed asynchronous interference avoidance in cognitive radio networks. Accelerated phase contrast imaging using compressed sensing with complex difference sparsity. Journal of Cardiovascular Magnetic Resonance.