Mohsen Heidari

Orcid: 0000-0002-0012-2900

According to our database1, Mohsen Heidari authored at least 38 papers between 2015 and 2024.

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Bibliography

2024
Efficient Gradient Estimation of Variational Quantum Circuits with Lie Algebraic Symmetries.
CoRR, 2024

New Bounds on Quantum Sample Complexity of Measurement Classes.
Proceedings of the IEEE International Symposium on Information Theory, 2024

2023
Regret Bounds for Log-Loss via Bayesian Algorithms.
IEEE Trans. Inf. Theory, September, 2023

Forward propagation dropout in deep neural networks using Jensen-Shannon and random forest feature importance ranking.
Neural Networks, August, 2023

ASTREAM: Data-Stream-Driven Scalable Anomaly Detection With Accuracy Guarantee in IIoT Environment.
IEEE Trans. Netw. Sci. Eng., 2023

Expected Worst Case Regret via Stochastic Sequential Covering.
Trans. Mach. Learn. Res., 2023

Quantum Shadow Gradient Descent for Quantum Learning.
CoRR, 2023

Agnostic PAC Learning of k-juntas Using L2-Polynomial Regression.
CoRR, 2023

On Non-Interactive Source Simulation via Fourier Transform.
Proceedings of the IEEE Information Theory Workshop, 2023

Agnostic PAC Learning of k-juntas Using L<sub>2</sub>-Polynomial Regression.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Learning k-qubit Quantum Operators via Pauli Decomposition.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
An Autonomous UAV-Assisted Distance-Aware Crowd Sensing Platform Using Deep ShuffleNet Transfer Learning.
IEEE Trans. Intell. Transp. Syst., 2022

Sufficiently Informative and Relevant Features: An Information-Theoretic and Fourier-Based Characterization.
IEEE Trans. Inf. Theory, 2022

Faithful Simulation of Distributed Quantum Measurements With Applications in Distributed Rate-Distortion Theory.
IEEE Trans. Inf. Theory, 2022

Precise Regret Bounds for Log-loss via a Truncated Bayesian Algorithm.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Sequential vs. Fixed Design Regrets in Online Learning.
Proceedings of the IEEE International Symposium on Information Theory, 2022

Upper Bounds on the Feedback Error Exponent of Channels With States and With Memory.
Proceedings of the IEEE International Symposium on Information Theory, 2022

Toward Physically Realizable Quantum Neural Networks.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
On Agnostic PAC Learning using L<sub>2</sub>-polynomial Regression and Fourier-based Algorithms.
CoRR, 2021

A Low Degree Learning Algorithm for Quantum Data via Quantum Fourier.
CoRR, 2021

Information Sufficiency via Fourier Expansion.
Proceedings of the IEEE International Symposium on Information Theory, 2021

A Theoretical Framework for Learning from Quantum Data.
Proceedings of the IEEE International Symposium on Information Theory, 2021

Finding Relevant Information via a Discrete Fourier Expansion.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Structured Mappings and Conferencing Common Information for Multiple-Access Channels.
IEEE Trans. Inf. Theory, 2020

2019
Quasi Structured Codes for Multi-Terminal Communications.
IEEE Trans. Inf. Theory, 2019

Design and Analysis of a Graphene Magneto-Plasmon Waveguide for Plasmonic Mode Switch.
IEEE Access, 2019

Boolean Functions with Biased Inputs: Approximation and Noise Sensitivity.
Proceedings of the IEEE International Symposium on Information Theory, 2019

2018
Corrections to "Abelian Group Codes for Channel Coding and Source Coding".
IEEE Trans. Inf. Theory, 2018

On The Reliability Function of Discrete Memoryless Multiple-Access Channel with Feedback.
Proceedings of the IEEE Information Theory Workshop, 2018

Bounds on the Effective-length of Optimal Codes for Interference Channel with Feedback.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

2017
How to Compute Modulo Prime-Power Sums ?
CoRR, 2017

On the necessity of structured codes for communications over MAC with feedback.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

A new achievable rate region for multiple-access channel with states.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

2016
How to compute modulo prime-power sums.
Proceedings of the IEEE International Symposium on Information Theory, 2016

New sufficient conditions for Multiple-Access Channel with correlated sources.
Proceedings of the IEEE International Symposium on Information Theory, 2016

Quasi Linear Codes: Application to point-to-point and multi-terminal source coding.
Proceedings of the IEEE International Symposium on Information Theory, 2016

2015
Beyond group capacity in multi-terminal communications.
Proceedings of the IEEE International Symposium on Information Theory, 2015

New lattice codes for multiple-descriptions.
Proceedings of the IEEE International Symposium on Information Theory, 2015


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