Mohammadreza Soltani

发表

Fast Low-Rank Matrix Estimation without the Condition Number

Chinmay Hegde, Mohammadreza Soltani, C. Hegde, 2017 .

Neural Architecture Search From Fréchet Task Distance

Cat P. Le, Trevor Scott Standley, Robert J. Ravier, 2021, ArXiv.

Improved Algorithms for Matrix Recovery from Rank-One Projections

C. Hegde, Mohammadreza Soltani, 2017, 1705.07469.

Iterative Thresholding for Demixing Structured Superpositions in High Dimensions

C. Hegde, Mohammadreza Soltani, 2017, 1701.06597.

Fisher Task Distance and Its Application in Neural Architecture Search

Cat P. Le, V. Tarokh, Mohammadreza Soltani, 2021, IEEE Access.

Deep Pinsker and James-Stein Neural Networks for Brain-Computer Interfacing

John S. Choi, V. Tarokh, Bijan Pesaran, 2020 .

LEARNING GENERATIVE MODELS FOR DEMIXING OF STRUCTURED SIGNALS FROM THEIR SUPERPOSITION USING GANS

Swayambhoo Jain, Mohammadreza Soltani, Abhinav V. Sambasivan, 2018 .

Unsupervised Demixing of Structured Signals from Their Superposition Using GANs

Swayambhoo Jain, Mohammadreza Soltani, Abhinav V. Sambasivan, 2019, DGS@ICLR.

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

Cat P. Le, Vahid Tarokh, Mohammadreza Soltani, 2021, ICLR.

Benchmarking Data-driven Surrogate Simulators for Artificial Electromagnetic Materials

Jordan M. Malof, Willie J. Padilla, V. Tarokh, 2021, NeurIPS Datasets and Benchmarks.

GeoStat Representations of Time Series for Fast Classification.

Vahid Tarokh, Robert J. Ravier, Mohammadreza Soltani, 2020 .

An Interpretable Baseline for Time Series Classification Without Intensive Learning pdf

Vahid Tarokh, Robert J. Ravier, Mohammadreza Soltani, 2020, ArXiv.

Hyperparameter Optimization in Neural Networks via Structured Sparse Recovery pdf

Minsu Cho, Chinmay Hegde, Mohammadreza Soltani, 2020, ArXiv.

One-Shot Neural Architecture Search via Compressive Sensing pdf

Chinmay Hegde, Minsu Cho, Mohammadreza Soltani, 2019, ArXiv.

Fast Algorithms for Demixing Sparse Signals From Nonlinear Observations

Chinmay Hegde, Mohammadreza Soltani, C. Hegde, 2016, IEEE Transactions on Signal Processing.

STRUCTURED SPARSE RECOVERY

Minsu Cho, C. Hegde, Mohammadreza Soltani, 2021 .

Provable algorithms for nonlinear models in machine learning and signal processing

Mohammadreza Soltani, Mohammadreza Soltani, 2019 .

Improved Automated Machine Learning from Transfer Learning

Cat P. Le, Robert J. Ravier, V. Tarokh, 2021, 2103.00241.

Fisher Task Distance and Its Applications in Neural Architecture Search and Transfer Learning

Cat P. Le, Vahid Tarokh, Mohammadreza Soltani, 2022 .

Neural Architecture Search From Task Similarity Measure

Cat P. Le, Robert J. Ravier, V. Tarokh, 2021, ArXiv.

Fisher Task Distance and Its Applications in Transfer Learning and Neural Architecture Search Cat

V. Tarokh, Mohammadreza Soltani, P. Le, 2021 .

Task-Aware Neural Architecture Search

Cat P. Le, Robert J. Ravier, V. Tarokh, 2020, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

One-Shot Neural Architecture Search via Compressive Sensing

C. Hegde, Mohammadreza Soltani, Minsu Cho, 2019, ArXiv.

A fast iterative algorithm for demixing sparse signals from nonlinear observations

Chinmay Hegde, Mohammadreza Soltani, C. Hegde, 2016, 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Demixing sparse signals from nonlinear observations

Chinmay Hegde, Mohammadreza Soltani, C. Hegde, 2016, 2016 50th Asilomar Conference on Signals, Systems and Computers.

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

Jie Ding, Vahid Tarokh, Mohammadreza Soltani, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Reconstruction from periodic nonlinearities, with applications to HDR imaging

Chinmay Hegde, Mohammadreza Soltani, Viraj Shah, 2017, 2017 51st Asilomar Conference on Signals, Systems, and Computers.

Demixing structured superposition signals from periodic and aperiodic nonlinear observations

Chinmay Hegde, Mohammadreza Soltani, C. Hegde, 2017, 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

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

Chinmay Hegde, Mohammadreza Soltani, C. Hegde, 2019, IEEE Transactions on Signal Processing.

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

Chinmay Hegde, Mohammadreza Soltani, C. Hegde, 2018, AISTATS.

Deep Pinsker and James-Stein Neural Networks for Decoding Motor Intentions From Limited Data

John S. Choi, V. Tarokh, Bijan Pesaran, 2021, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Deep James-Stein Neural Networks For Brain-Computer Interfaces

Bijan Pesaran, Vahid Tarokh, Mohammadreza Soltani, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Multi-Agent Adversarial Attacks for Multi-Channel Communications

Vahid Tarokh, Suya Wu, Juncheng Dong, 2022, AAMAS.

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

V. Tarokh, C. Cannella, Mohammadreza Soltani, 2020, ICLR.

Towards Explainable Convolutional Features for Music Audio Modeling pdf

Sayan Mukherjee, Vahid Tarokh, Mohammadreza Soltani, 2021, ArXiv.