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ORCIDMohammadreza Soltani
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2020 – today
- 2022
[j3]Cat P. Le
, Mohammadreza Soltani, Juncheng Dong, Vahid Tarokh:
Fisher Task Distance and its Application in Neural Architecture Search. IEEE Access 10: 47235-47249 (2022)- [c22]Juncheng Dong, Suya Wu, Mohammadreza Soltani, Vahid Tarokh:
Multi-Agent Adversarial Attacks for Multi-Channel Communications. AAMAS 2022: 1580-1582 - [c21]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: 482 - [c20]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 - [c19]Cat Phuoc Le, Juncheng Dong, Mohammadreza Soltani, Vahid Tarokh:
Task Affinity with Maximum Bipartite Matching in Few-Shot Learning. ICLR 2022 - [i15]Juncheng Dong, Suya Wu, Mohammadreza Soltani, Vahid Tarokh:
Multi-Agent Adversarial Attacks for Multi-Channel Communications. CoRR abs/2201.09149 (2022) - [i14]Shyam Venkatasubramanian, Chayut Wongkamthong, Mohammadreza Soltani, Bosung Kang, Sandeep Gogineni, Ali Pezeshki, Muralidhar Rangaswamy, Vahid Tarokh:
Toward Data-Driven STAP Radar. CoRR abs/2201.10712 (2022) - [i13]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 abs/2201.11209 (2022) - 2021
- [c18]Mohammadreza Soltani, Suya Wu, Yuerong Li, Robert J. Ravier, Jie Ding, Vahid Tarokh:
Compressing Deep Networks Using Fisher Score of Feature Maps. DCC 2021: 371 - [c17]Cat P. Le, Mohammadreza Soltani, Robert J. Ravier, Vahid Tarokh:
Task-Aware Neural Architecture Search. ICASSP 2021: 4090-4094 - [c16]Chris Cannella, Mohammadreza Soltani, Vahid Tarokh:
Projected Latent Markov Chain Monte Carlo: Conditional Sampling of Normalizing Flows. ICLR 2021 - [c15]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 - [i12]Cat P. Le, Mohammadreza Soltani, Robert J. Ravier, Vahid Tarokh:
Neural Architecture Search From Task Similarity Measure. CoRR abs/2103.00241 (2021) - [i11]Cat P. Le, Mohammadreza Soltani, Robert J. Ravier, Trevor Standley, Silvio Savarese, Vahid Tarokh:
Neural Architecture Search From Fréchet Task Distance. CoRR abs/2103.12827 (2021) - [i10]Anna K. Yanchenko, Mohammadreza Soltani, Robert J. Ravier, Sayan Mukherjee, Vahid Tarokh:
Towards Explainable Convolutional Features for Music Audio Modeling. CoRR abs/2106.00110 (2021) - [i9]Cat P. Le, Juncheng Dong, Mohammadreza Soltani, Vahid Tarokh:
Task Affinity with Maximum Bipartite Matching in Few-Shot Learning. CoRR abs/2110.02399 (2021) - [i8]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 abs/2111.13311 (2021) - 2020
- [c14]Marko Angjelichinoski, Mohammadreza Soltani, John S. Choi, Bijan Pesaran, Vahid Tarokh:
Deep James-Stein Neural Networks For Brain-Computer Interfaces. ICASSP 2020: 1339-1343 - [c13]Chris Cannella, Jie Ding, Mohammadreza Soltani, Yi Zhou, Vahid Tarokh:
Perception-Distortion Trade-Off with Restricted Boltzmann Machines. ICASSP 2020: 4022-4026 - [c12]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: 6988-6995 - [i7]Minsu Cho, Mohammadreza Soltani, Chinmay Hegde:
Hyperparameter Optimization in Neural Networks via Structured Sparse Recovery. CoRR abs/2007.04087 (2020) - [i6]Chris Cannella, Mohammadreza Soltani, Vahid Tarokh:
Projected Latent Markov Chain Monte Carlo: Conditional Inference with Normalizing Flows. CoRR abs/2007.06140 (2020) - [i5]Robert J. Ravier, Mohammadreza Soltani, Miguel Antunes Dias Alfaiate, Denis Garagic, Vahid Tarokh:
An Interpretable Baseline for Time Series Classification Without Intensive Learning. CoRR abs/2007.06682 (2020) - [i4]Cat P. Le, Mohammadreza Soltani, Robert J. Ravier, Vahid Tarokh:
Task-Aware Neural Architecture Search. CoRR abs/2010.13962 (2020)
2010 – 2019
- 2019
- [j2]Mohammadreza Soltani, Chinmay Hegde:
Fast and Provable Algorithms for Learning Two-Layer Polynomial Neural Networks. IEEE Trans. Signal Process. 67(13): 3361-3371 (2019) - [c11]Mohammadreza Soltani, Swayambhoo Jain, Abhinav V. Sambasivan, Chinmay Hegde:
Leaming Structured Signals Using GAN s with Applications in Denoising and Demixing. ACSSC 2019: 2127-2131 - [c10]Mohammadreza Soltani, Swayambhoo Jain, Abhinav V. Sambasivan:
Unsupervised Demixing of Structured Signals from Their Superposition Using GANs. DGS@ICLR 2019 - [i3]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 abs/1902.04664 (2019) - [i2]Minsu Cho, Mohammadreza Soltani, Chinmay Hegde:
One-Shot Neural Architecture Search via Compressive Sensing. CoRR abs/1906.02869 (2019) - [i1]Chris Cannella, Jie Ding, Mohammadreza Soltani, Vahid Tarokh:
Perception-Distortion Trade-off with Restricted Boltzmann Machines. CoRR abs/1910.09122 (2019) - 2018
- [c9]Mohammadreza Soltani, Chinmay Hegde:
Towards Provable Learning of Polynomial Neural Networks Using Low-Rank Matrix Estimation. AISTATS 2018: 1417-1426 - [c8]Mohammadreza Soltani, Chinmay Hegde:
Fast Low-Rank Matrix Estimation for Ill-Conditioned Matrices. ISIT 2018: 371-375 - 2017
- [j1]Mohammadreza Soltani, Chinmay Hegde:
Fast Algorithms for Demixing Sparse Signals From Nonlinear Observations. IEEE Trans. Signal Process. 65(16): 4209-4222 (2017) - [c7]Viraj Shah, Mohammadreza Soltani, Chinmay Hegde:
Reconstruction from periodic nonlinearities, with applications to HDR imaging. ACSSC 2017: 863-867 - [c6]Mohammadreza Soltani, Chinmay Hegde:
Demixing structured superposition signals from periodic and aperiodic nonlinear observations. GlobalSIP 2017: 1165-1169 - [c5]Mohammadreza Soltani, Chinmay Hegde:
Stable recovery of sparse vectors from random sinusoidal feature maps. ICASSP 2017: 6384-6388 - 2016
- [c4]Mohammadreza Soltani, Chinmay Hegde:
Demixing sparse signals from nonlinear observations. ACSSC 2016: 615-619 - [c3]Mohammadreza Soltani, Chinmay Hegde:
A fast iterative algorithm for demixing sparse signals from nonlinear observations. GlobalSIP 2016: 167-171 - 2015
- [c2]Mohammadreza Soltani, Michael Hempel, Hamid Sharif:
Utilization of convex optimization for data fusion-driven sensor management in WSNs. IWCMC 2015: 1224-1229 - 2014
- [c1]Mohammadreza Soltani, Michael Hempel, Hamid Sharif:
Data fusion utilization for optimizing large-scale Wireless Sensor Networks. ICC 2014: 367-372
Coauthor Index
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