Mohammadreza Soltani

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 38

Top Topics

Convex Optimization

Restricted Boltzmann Machine

Top Venues

Publications

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)
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)
Juncheng Dong, Suya Wu, Mohammadreza Soltani, Vahid Tarokh
Multi-Agent Adversarial Attacks for Multi-Channel Communications. AAMAS (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 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)
Cat Phuoc Le, Juncheng Dong, Mohammadreza Soltani, Vahid Tarokh
Task Affinity with Maximum Bipartite Matching in Few-Shot Learning. ICLR (2022)
Mohammadreza Soltani, Suya Wu, Yuerong Li, Robert J. Ravier, Jie Ding, Vahid Tarokh
Compressing Deep Networks Using Fisher Score of Feature Maps. DCC (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)
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)
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)
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)
Cat P. Le, Juncheng Dong, Mohammadreza Soltani, Vahid Tarokh
Task Affinity with Maximum Bipartite Matching in Few-Shot Learning. CoRR (2021)
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)
Minsu Cho, Mohammadreza Soltani, Chinmay Hegde
Hyperparameter Optimization in Neural Networks via Structured Sparse Recovery. CoRR (2020)
Chris Cannella, Mohammadreza Soltani, Vahid Tarokh
Projected Latent Markov Chain Monte Carlo: Conditional Inference with Normalizing Flows. 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)
Chris Cannella, Jie Ding, Mohammadreza Soltani, Yi Zhou, Vahid Tarokh
Perception-Distortion Trade-Off with Restricted Boltzmann Machines. ICASSP (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)
Minsu Cho, Mohammadreza Soltani, Chinmay Hegde
One-Shot Neural Architecture Search via Compressive Sensing. CoRR (2019)
Mohammadreza Soltani, Swayambhoo Jain, Abhinav V. Sambasivan
Unsupervised Demixing of Structured Signals from Their Superposition Using GANs. DGS@ICLR (2019)
Mohammadreza Soltani, Chinmay Hegde
Fast and Provable Algorithms for Learning Two-Layer Polynomial Neural Networks. IEEE Trans. Signal Process. 67 (13) (2019)
Mohammadreza Soltani, Swayambhoo Jain, Abhinav V. Sambasivan, Chinmay Hegde
Leaming Structured Signals Using GAN s with Applications in Denoising and Demixing. ACSSC (2019)
Mohammadreza Soltani, Swayambhoo Jain, Abhinav V. Sambasivan
Learning Generative Models of Structured Signals from Their Superposition Using GANs with Application to Denoising and Demixing. CoRR (2019)
Chris Cannella, Jie Ding, Mohammadreza Soltani, Vahid Tarokh
Perception-Distortion Trade-off with Restricted Boltzmann Machines. CoRR (2019)
Mohammadreza Soltani, Chinmay Hegde
Towards Provable Learning of Polynomial Neural Networks Using Low-Rank Matrix Estimation. AISTATS (2018)
Mohammadreza Soltani, Chinmay Hegde
Fast Low-Rank Matrix Estimation for Ill-Conditioned Matrices. ISIT (2018)
Viraj Shah, Mohammadreza Soltani, Chinmay Hegde
Reconstruction from periodic nonlinearities, with applications to HDR imaging. ACSSC (2017)
Mohammadreza Soltani, Chinmay Hegde
Demixing structured superposition signals from periodic and aperiodic nonlinear observations. GlobalSIP (2017)
Mohammadreza Soltani, Chinmay Hegde
Fast Algorithms for Demixing Sparse Signals From Nonlinear Observations. IEEE Trans. Signal Process. 65 (16) (2017)
Mohammadreza Soltani, Chinmay Hegde
Stable recovery of sparse vectors from random sinusoidal feature maps. ICASSP (2017)
Mohammadreza Soltani, Chinmay Hegde
A fast iterative algorithm for demixing sparse signals from nonlinear observations. GlobalSIP (2016)
Mohammadreza Soltani, Chinmay Hegde
Demixing sparse signals from nonlinear observations. ACSSC (2016)
Mohammadreza Soltani, Michael Hempel, Hamid Sharif
Utilization of convex optimization for data fusion-driven sensor management in WSNs. IWCMC (2015)
Mohammadreza Soltani, Michael Hempel, Hamid Sharif
Data fusion utilization for optimizing large-scale Wireless Sensor Networks. ICC (2014)