New lattice codes for multiple-descriptions. - Farhad Shirani Chaharsooghi; Mohsen Heidari; S. Sandeep Pradhan (ISIT, 2015)

Beyond group capacity in multi-terminal communications. - Mohsen Heidari; Farhad Shirani Chaharsooghi; S. Sandeep Pradhan (ISIT, 2015)

Quasi Linear Codes: Application to point-to-point and multi-terminal source coding. - Farhad Shirani Chaharsooghi; Mohsen Heidari; S. Sandeep Pradhan (ISIT, 2016)

New sufficient conditions for Multiple-Access Channel with correlated sources. - Mohsen Heidari; Farhad Shirani Chaharsooghi; S. Sandeep Pradhan (ISIT, 2016)

How to compute modulo prime-power sums. - Mohsen Heidari; S. Sandeep Pradhan (ISIT, 2016)

A new achievable rate region for multiple-access channel with states. - Mohsen Heidari; Farhad Shirani Chaharsooghi; S. Sandeep Pradhan (ISIT, 2017)

On the necessity of structured codes for communications over MAC with feedback. - Mohsen Heidari; Farhad Shirani Chaharsooghi; S. Sandeep Pradhan (ISIT, 2017)

How to Compute Modulo Prime-Power Sums ? - Mohsen Heidari; Farhad Shirani Chaharsooghi; S. Sandeep Pradhan (CoRR, 2017)

Bounds on the Effective-length of Optimal Codes for Interference Channel with Feedback. - Mohsen Heidari; Farhad Shirani Chaharsooghi; S. Sandeep Pradhan (ISIT, 2018)

Corrections to "Abelian Group Codes for Channel Coding and Source Coding". - S. Sandeep Pradhan; Mohsen Heidari; Aria Ghasemian Sahebi (IEEE Trans. Inf. Theory, 2018)

Boolean Functions with Biased Inputs: Approximation and Noise Sensitivity. - Mohsen Heidari; S. Sandeep Pradhan; Ramji Venkataramanan (ISIT, 2019)

Design and Analysis of a Graphene Magneto-Plasmon Waveguide for Plasmonic Mode Switch. - Mohsen Heidari; Vahid Ahmadi (IEEE Access, 2019)

Quasi Structured Codes for Multi-Terminal Communications. - Mohsen Heidari; Farhad Shirani 001; S. Sandeep Pradhan (IEEE Trans. Inf. Theory, 2019)

Structured Mappings and Conferencing Common Information for Multiple-Access Channels. - Mohsen Heidari; S. Sandeep Pradhan (IEEE Trans. Inf. Theory, 2020)

Finding Relevant Information via a Discrete Fourier Expansion. - Mohsen Heidari; Jithin K. Sreedharan; Gil I. Shamir; Wojciech Szpankowski (ICML, 2021)

A Theoretical Framework for Learning from Quantum Data. - Mohsen Heidari; Arun Padakandla; Wojciech Szpankowski (ISIT, 2021)

Information Sufficiency via Fourier Expansion. - Mohsen Heidari; Jithin K. Sreedharan; Gil I. Shamir; Wojciech Szpankowski (ISIT, 2021)

A Low Degree Learning Algorithm for Quantum Data via Quantum Fourier. - Mohsen Heidari; Wojciech Szpankowski (CoRR, 2021)

On Agnostic PAC Learning using L2-polynomial Regression and Fourier-based Algorithms. - Mohsen Heidari; Wojciech Szpankowski (CoRR, 2021)

Toward Physically Realizable Quantum Neural Networks. - Mohsen Heidari; Ananth Grama; Wojciech Szpankowski (AAAI, 2022)

Upper Bounds on the Feedback Error Exponent of Channels With States and With Memory. - Mohsen Heidari; Achilleas Anastasopoulos; S. Sandeep Pradhan (ISIT, 2022)

Sequential vs. Fixed Design Regrets in Online Learning. - Changlong Wu; Mohsen Heidari; Ananth Grama; Wojciech Szpankowski (ISIT, 2022)

Precise Regret Bounds for Log-loss via a Truncated Bayesian Algorithm. - Changlong Wu; Mohsen Heidari; Ananth Grama; Wojciech Szpankowski (NeurIPS, 2022)

Faithful Simulation of Distributed Quantum Measurements With Applications in Distributed Rate-Distortion Theory. - Touheed Anwar Atif; Mohsen Heidari; S. Sandeep Pradhan (IEEE Trans. Inf. Theory, 2022)

Sufficiently Informative and Relevant Features: An Information-Theoretic and Fourier-Based Characterization. - Mohsen Heidari; Jithin K. Sreedharan; Gil I. Shamir; Wojciech Szpankowski (IEEE Trans. Inf. Theory, 2022)

An Autonomous UAV-Assisted Distance-Aware Crowd Sensing Platform Using Deep ShuffleNet Transfer Learning. - Khosro Rezaee; Seyed Jalaleddin Mousavirad; Mohammad Reza Khosravi; Mohammad Kazem Moghimi; Mohsen Heidari (IEEE Trans. Intell. Transp. Syst., 2022)

Learning k-qubit Quantum Operators via Pauli Decomposition. - Mohsen Heidari; Wojciech Szpankowski (AISTATS, 2023)

Agnostic PAC Learning of k-juntas Using L2-Polynomial Regression. - Mohsen Heidari; Wojciech Szpankowski (AISTATS, 2023)

On Non-Interactive Source Simulation via Fourier Transform. - Farhad Shirani 001; Mohsen Heidari (ITW, 2023)

Agnostic PAC Learning of k-juntas Using L2-Polynomial Regression. - Mohsen Heidari; Wojciech Szpankowski (CoRR, 2023)

Quantum Shadow Gradient Descent for Quantum Learning. - Mohsen Heidari; Md Mobasshir Arshed Naved; Wenbo Xie; Arjun Jacob Grama; Wojciech Szpankowski (CoRR, 2023)

Expected Worst Case Regret via Stochastic Sequential Covering. - Changlong Wu; Mohsen Heidari; Ananth Grama; Wojciech Szpankowski (Trans. Mach. Learn. Res., 2023)

ASTREAM: Data-Stream-Driven Scalable Anomaly Detection With Accuracy Guarantee in IIoT Environment. - Yihong Yang; Xuan Yang; Mohsen Heidari; Mohammad Ayoub Khan; Gautam Srivastava 001; Mohammad Reza Khosravi; Lianyong Qi (IEEE Trans. Netw. Sci. Eng., 2023)

Forward propagation dropout in deep neural networks using Jensen-Shannon and random forest feature importance ranking. - Mohsen Heidari; Mohammad Hossein Moattar; Hamidreza Ghaffari (Neural Networks, 2023)

Regret Bounds for Log-Loss via Bayesian Algorithms. - Changlong Wu; Mohsen Heidari; Ananth Grama; Wojciech Szpankowski (IEEE Trans. Inf. Theory, 2023)

New Bounds on Quantum Sample Complexity of Measurement Classes. - Mohsen Heidari; Wojciech Szpankowski (ISIT, 2024)

Learning Spectral Properties of Boolean Functions: A Unifying Theme in Quantum Algorithms. - Mohsen Heidari; Amr Sabry (SYNASC, 2024)

Efficient Gradient Estimation of Variational Quantum Circuits with Lie Algebraic Symmetries. - Mohsen Heidari; Masih Mozakka; Wojciech Szpankowski (CoRR, 2024)

Learning DNF through Generalized Fourier Representations. - Mohsen Heidari; Roni Khardon (COLT, 2025)

Quantum Data Sketches. - Qin Zhang 001; Mohsen Heidari (ICDT, 2025)

On the Reliability Function of Discrete Memoryless Multiple-Access Channel With Feedback. - Mohsen Heidari; Achilleas Anastasopoulos; S. Sandeep Pradhan (IEEE Trans. Inf. Theory, 2025)

Improved Classical Shadow Tomography Using Quantum Computation. - Zahra Honjani; Mohsen Heidari (CoRR, 2025)