Mohammadreza Soltani

According to our database, Mohammadreza Soltani authored at least 35 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Toward Data-Driven STAP Radar.

Shyam Venkatasubramanian, Chayut Wongkamthong, Mohammadreza Soltani, Bosung Kang, Sandeep Gogineni, Ali Pezeshki, Muralidhar Rangaswamy, Vahid Tarokh

CoRR, 2022

Fisher Task Distance and its Application in Neural Architecture Search.

Cat P. Le, Mohammadreza Soltani, Juncheng Dong, Vahid Tarokh

IEEE Access, 2022

Task Affinity with Maximum Bipartite Matching in Few-Shot Learning.

Cat Phuoc Le, Juncheng Dong, Mohammadreza Soltani, Vahid Tarokh

Proceedings of the Tenth International Conference on Learning Representations, 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

Proceedings of the Tenth International Conference on Learning Representations, 2022

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

Mohammadreza Soltani, Suya Wu, Yuerong Li, Jie Ding, Vahid Tarokh

Proceedings of the Data Compression Conference, 2022

Multi-Agent Adversarial Attacks for Multi-Channel Communications.

Juncheng Dong, Suya Wu, Mohammadreza Soltani, Vahid Tarokh

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

Towards Explainable Convolutional Features for Music Audio Modeling.

Anna K. Yanchenko, Mohammadreza Soltani, Robert J. Ravier, Sayan Mukherjee, 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

Neural Architecture Search From Task Similarity Measure.

Cat P. Le, Mohammadreza Soltani, Robert J. Ravier, Vahid Tarokh

CoRR, 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

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Projected Latent Markov Chain Monte Carlo: Conditional Sampling of Normalizing Flows.

Chris Cannella, Mohammadreza Soltani, Vahid Tarokh

Proceedings of the 9th International Conference on Learning Representations, 2021

Task-Aware Neural Architecture Search.

Cat P. Le, Mohammadreza Soltani, Robert J. Ravier, Vahid Tarokh

Proceedings of the IEEE International Conference on Acoustics, 2021

Compressing Deep Networks Using Fisher Score of Feature Maps.

Mohammadreza Soltani, Suya Wu, Yuerong Li, Robert J. Ravier, Jie Ding, Vahid Tarokh

Proceedings of the 31st Data Compression Conference, 2021

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

Projected Latent Markov Chain Monte Carlo: Conditional Inference with Normalizing Flows.

Chris Cannella, Mohammadreza Soltani, Vahid Tarokh

CoRR, 2020

Hyperparameter Optimization in Neural Networks via Structured Sparse Recovery.

Minsu Cho, Mohammadreza Soltani, Chinmay Hegde

CoRR, 2020

On the Information of Feature Maps and Pruning of Deep Neural Networks.

Mohammadreza Soltani, Suya Wu, Jie Ding, Robert J. Ravier, Vahid Tarokh

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Perception-Distortion Trade-Off with Restricted Boltzmann Machines.

Chris Cannella, Jie Ding, Mohammadreza Soltani, Yi Zhou, Vahid Tarokh

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Deep James-Stein Neural Networks For Brain-Computer Interfaces.

Marko Angjelichinoski, Mohammadreza Soltani, John S. Choi, Bijan Pesaran, Vahid Tarokh

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Fast and Provable Algorithms for Learning Two-Layer Polynomial Neural Networks.

Mohammadreza Soltani, Chinmay Hegde

IEEE Trans. Signal Process., 2019

Perception-Distortion Trade-off with Restricted Boltzmann Machines.

Chris Cannella, Jie Ding, Mohammadreza Soltani, Vahid Tarokh

CoRR, 2019

One-Shot Neural Architecture Search via Compressive Sensing.

Minsu Cho, Mohammadreza Soltani, Chinmay Hegde

CoRR, 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

Unsupervised Demixing of Structured Signals from Their Superposition Using GANs.

Mohammadreza Soltani, Swayambhoo Jain, Abhinav V. Sambasivan

Proceedings of the Deep Generative Models for Highly Structured Data, 2019

Leaming Structured Signals Using GAN s with Applications in Denoising and Demixing.

Mohammadreza Soltani, Swayambhoo Jain, Abhinav V. Sambasivan, Chinmay Hegde

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

Fast Low-Rank Matrix Estimation for Ill-Conditioned Matrices.

Mohammadreza Soltani, Chinmay Hegde

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Towards Provable Learning of Polynomial Neural Networks Using Low-Rank Matrix Estimation.

Mohammadreza Soltani, Chinmay Hegde

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Fast Algorithms for Demixing Sparse Signals From Nonlinear Observations.

Mohammadreza Soltani, Chinmay Hegde

IEEE Trans. Signal Process., 2017

Stable recovery of sparse vectors from random sinusoidal feature maps.

Mohammadreza Soltani, Chinmay Hegde

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Demixing structured superposition signals from periodic and aperiodic nonlinear observations.

Mohammadreza Soltani, Chinmay Hegde

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Reconstruction from periodic nonlinearities, with applications to HDR imaging.

Viraj Shah, Mohammadreza Soltani, Chinmay Hegde

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016

A fast iterative algorithm for demixing sparse signals from nonlinear observations.

Mohammadreza Soltani, Chinmay Hegde

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Demixing sparse signals from nonlinear observations.

Mohammadreza Soltani, Chinmay Hegde

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015

Utilization of convex optimization for data fusion-driven sensor management in WSNs.

Mohammadreza Soltani, Michael Hempel, Hamid Sharif

Proceedings of the International Wireless Communications and Mobile Computing Conference, 2015

2014

Data fusion utilization for optimizing large-scale Wireless Sensor Networks.

Mohammadreza Soltani, Michael Hempel, Hamid Sharif

Proceedings of the IEEE International Conference on Communications, 2014