Data fusion utilization for optimizing large-scale Wireless Sensor Networks. - Mohammadreza Soltani; Michael Hempel; Hamid Sharif (ICC, 2014)

Utilization of convex optimization for data fusion-driven sensor management in WSNs. - Mohammadreza Soltani; Michael Hempel; Hamid Sharif (IWCMC, 2015)

Demixing sparse signals from nonlinear observations. - Mohammadreza Soltani; Chinmay Hegde (ACSSC, 2016)

A fast iterative algorithm for demixing sparse signals from nonlinear observations. - Mohammadreza Soltani; Chinmay Hegde (GlobalSIP, 2016)

Reconstruction from periodic nonlinearities, with applications to HDR imaging. - Viraj Shah; Mohammadreza Soltani; Chinmay Hegde (ACSSC, 2017)

Demixing structured superposition signals from periodic and aperiodic nonlinear observations. - Mohammadreza Soltani; Chinmay Hegde (GlobalSIP, 2017)

Stable recovery of sparse vectors from random sinusoidal feature maps. - Mohammadreza Soltani; Chinmay Hegde (ICASSP, 2017)

Fast Algorithms for Demixing Sparse Signals From Nonlinear Observations. - Mohammadreza Soltani; Chinmay Hegde (IEEE Trans. Signal Process., 2017)

Towards Provable Learning of Polynomial Neural Networks Using Low-Rank Matrix Estimation. - Mohammadreza Soltani; Chinmay Hegde (AISTATS, 2018)

Fast Low-Rank Matrix Estimation for Ill-Conditioned Matrices. - Mohammadreza Soltani; Chinmay Hegde (ISIT, 2018)

Leaming Structured Signals Using GAN s with Applications in Denoising and Demixing. - Mohammadreza Soltani; Swayambhoo Jain; Abhinav V. Sambasivan; Chinmay Hegde (ACSSC, 2019)

Unsupervised Demixing of Structured Signals from Their Superposition Using GANs. - Mohammadreza Soltani; Swayambhoo Jain; Abhinav V. Sambasivan (DGS@ICLR, 2019)

Learning Generative Models of Structured Signals from Their Superposition Using GANs with Application to Denoising and Demixing. - Mohammadreza Soltani; Swayambhoo Jain; Abhinav V. Sambasivan (CoRR, 2019)

One-Shot Neural Architecture Search via Compressive Sensing. - Minsu Cho; Mohammadreza Soltani; Chinmay Hegde (CoRR, 2019)

Perception-Distortion Trade-off with Restricted Boltzmann Machines. - Chris Cannella; Jie Ding 002; Mohammadreza Soltani; Vahid Tarokh (CoRR, 2019)

Fast and Provable Algorithms for Learning Two-Layer Polynomial Neural Networks. - Mohammadreza Soltani; Chinmay Hegde (IEEE Trans. Signal Process., 2019)

Deep James-Stein Neural Networks For Brain-Computer Interfaces. - Marko Angjelichinoski; Mohammadreza Soltani; John S. Choi; Bijan Pesaran; Vahid Tarokh (ICASSP, 2020)

Perception-Distortion Trade-Off with Restricted Boltzmann Machines. - Chris Cannella; Jie Ding 002; Mohammadreza Soltani; Yi Zhou 017; Vahid Tarokh (ICASSP, 2020)

On the Information of Feature Maps and Pruning of Deep Neural Networks. - Mohammadreza Soltani; Suya Wu; Jie Ding 002; Robert J. Ravier; Vahid Tarokh (ICPR, 2020)

Hyperparameter Optimization in Neural Networks via Structured Sparse Recovery. - Minsu Cho; Mohammadreza Soltani; Chinmay Hegde (CoRR, 2020)

Projected Latent Markov Chain Monte Carlo: Conditional Inference with Normalizing Flows. - Chris Cannella; Mohammadreza Soltani; Vahid Tarokh (CoRR, 2020)

An Interpretable Baseline for Time Series Classification Without Intensive Learning. - Robert J. Ravier; Mohammadreza Soltani; Miguel Antunes Dias Alfaiate; Denis Garagic; Vahid Tarokh (CoRR, 2020)

Compressing Deep Networks Using Fisher Score of Feature Maps. - Mohammadreza Soltani; Suya Wu; Yuerong Li; Robert J. Ravier; Jie Ding 002; Vahid Tarokh (DCC, 2021)

Task-Aware Neural Architecture Search. - Cat P. Le; Mohammadreza Soltani; Robert J. Ravier; Vahid Tarokh (ICASSP, 2021)

Projected Latent Markov Chain Monte Carlo: Conditional Sampling of Normalizing Flows. - Chris Cannella; Mohammadreza Soltani; Vahid Tarokh (ICLR, 2021)

Benchmarking Data-driven Surrogate Simulators for Artificial Electromagnetic Materials. - Yang Deng; Juncheng Dong; Simiao Ren; Omar Khatib; Mohammadreza Soltani; Vahid Tarokh; Willie Padilla; Jordan M. Malof (NeurIPS Datasets and Benchmarks, 2021)

Neural Architecture Search From Task Similarity Measure. - Cat P. Le; Mohammadreza Soltani; Robert J. Ravier; Vahid Tarokh (CoRR, 2021)

Neural Architecture Search From Fréchet Task Distance. - Cat P. Le; Mohammadreza Soltani; Robert J. Ravier; Trevor Standley; Silvio Savarese; Vahid Tarokh (CoRR, 2021)

Towards Explainable Convolutional Features for Music Audio Modeling. - Anna K. Yanchenko; Mohammadreza Soltani; Robert J. Ravier; Sayan Mukherjee 001; Vahid Tarokh (CoRR, 2021)

Multi-Agent Adversarial Attacks for Multi-Channel Communications. - Juncheng Dong; Suya Wu; Mohammadreza Soltani; Vahid Tarokh (AAMAS, 2022)

On The Energy Statistics of Feature Maps in Pruning of Neural Networks with Skip-Connections. - Mohammadreza Soltani; Suya Wu; Yuerong Li; Jie Ding 002; Vahid Tarokh (DCC, 2022)

Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions. - Juncheng Dong; Simiao Ren; Yang Deng; Omar Khatib; Jordan M. Malof; Mohammadreza Soltani; Willie Padilla; Vahid Tarokh (ICLR, 2022)

Task Affinity with Maximum Bipartite Matching in Few-Shot Learning. - Cat Phuoc Le; Juncheng Dong; Mohammadreza Soltani; Vahid Tarokh (ICLR, 2022)

Fisher Task Distance and its Application in Neural Architecture Search. - Cat P. Le; Mohammadreza Soltani; Juncheng Dong; Vahid Tarokh (IEEE Access, 2022)

Toward Data-Driven STAP Radar. - Shyam Venkatasubramanian; Chayut Wongkamthong; Mohammadreza Soltani; Bosung Kang; Sandeep Gogineni; Ali Pezeshki; Muralidhar Rangaswamy; Vahid Tarokh (CoRR, 2022)