Mohsen Heidari

67 papers A* 4A 3B 18Misc 1Journal 41

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Accelerating Feedback-based Algorithms for Quantum Optimization Using Gradient Descent. CoRR Masih Mozakka, Mohsen Heidari
2025	J	`jnl`	G2Dropout: gradient-guided dynamic dropout for efficient optimization of deep neural architectures through weights update analysis. J. Supercomput. Mohsen Heidari, Mohammad Hossein Moattar, Hamidreza Ghaffari
2025	B	`conf`	Improved Classical Shadow Tomography Using Quantum Computation. ISIT Zahra Honjani, Mohsen Heidari
2025	J	`jnl`	Improved Classical Shadow Tomography Using Quantum Computation. CoRR Zahra Honjani, Mohsen Heidari
2025	A*	`conf`	Learning DNF through Generalized Fourier Representations. COLT Mohsen Heidari, Roni Khardon
2025	J	`jnl`	Learning DNF through Generalized Fourier Representations. CoRR Mohsen Heidari, Roni Khardon
2025	J	`jnl`	On the Reliability Function of Discrete Memoryless Multiple-Access Channel With Feedback. IEEE Trans. Inf. Theory Mohsen Heidari, Achilleas Anastasopoulos, S. Sandeep Pradhan
2025	A	`conf`	Quantum Data Sketches. ICDT Qin Zhang, Mohsen Heidari
2025	J	`jnl`	Quantum Data Sketches. CoRR Qin Zhang, Mohsen Heidari
2024	J	`jnl`	Efficient Gradient Estimation of Variational Quantum Circuits with Lie Algebraic Symmetries. CoRR Mohsen Heidari, Masih Mozakka, Wojciech Szpankowski
2024	Misc	`conf`	Learning Spectral Properties of Boolean Functions: A Unifying Theme in Quantum Algorithms. SYNASC Mohsen Heidari, Amr Sabry
2024	B	`conf`	New Bounds on Quantum Sample Complexity of Measurement Classes. ISIT Mohsen Heidari, Wojciech Szpankowski
2024	J	`jnl`	New Bounds on Quantum Sample Complexity of Measurement Classes. CoRR Mohsen Heidari, Wojciech Szpankowski
2023	J	`jnl`	ASTREAM: Data-Stream-Driven Scalable Anomaly Detection With Accuracy Guarantee in IIoT Environment. IEEE Trans. Netw. Sci. Eng. Yihong Yang, Xuan Yang, Mohsen Heidari, Mohammad Ayoub Khan, Gautam Srivastava, Mohammad Reza Khosravi, Lianyong Qi
2023	A	`conf`	Agnostic PAC Learning of k-juntas Using L AISTATS Mohsen Heidari, Wojciech Szpankowski
2023	J	`jnl`	Agnostic PAC Learning of k-juntas Using L2-Polynomial Regression. CoRR Mohsen Heidari, Wojciech Szpankowski
2023	J	`jnl`	Expected Worst Case Regret via Stochastic Sequential Covering. Trans. Mach. Learn. Res. Changlong Wu, Mohsen Heidari, Ananth Grama, Wojciech Szpankowski
2023	J	`jnl`	Forward propagation dropout in deep neural networks using Jensen-Shannon and random forest feature importance ranking. Neural Networks Mohsen Heidari, Mohammad Hossein Moattar, Hamidreza Ghaffari
2023	A	`conf`	Learning k-qubit Quantum Operators via Pauli Decomposition. AISTATS Mohsen Heidari, Wojciech Szpankowski
2023	B	`conf`	On Non-Interactive Source Simulation via Fourier Transform. ITW Farhad Shirani, Mohsen Heidari
2023	J	`jnl`	On The Reliability Function of Discrete Memoryless Multiple-Access Channel with Feedback. CoRR Mohsen Heidari, Achilleas Anastasopoulos, S. Sandeep Pradhan
2023	J	`jnl`	Quantum Shadow Gradient Descent for Quantum Learning. CoRR Mohsen Heidari, Md Mobasshir Arshed Naved, Wenbo Xie, Arjun Jacob Grama, Wojciech Szpankowski
2023	J	`jnl`	Regret Bounds for Log-Loss via Bayesian Algorithms. IEEE Trans. Inf. Theory Changlong Wu, Mohsen Heidari, Ananth Grama, Wojciech Szpankowski
2022	J	`jnl`	An Autonomous UAV-Assisted Distance-Aware Crowd Sensing Platform Using Deep ShuffleNet Transfer Learning. IEEE Trans. Intell. Transp. Syst. Khosro Rezaee, Seyed Jalaleddin Mousavirad, Mohammad Reza Khosravi, Mohammad Kazem Moghimi, Mohsen Heidari
2022	J	`jnl`	Expected Worst Case Regret via Stochastic Sequential Covering. CoRR Changlong Wu, Mohsen Heidari, Ananth Grama, Wojciech Szpankowski
2022	J	`jnl`	Faithful Simulation of Distributed Quantum Measurements With Applications in Distributed Rate-Distortion Theory. IEEE Trans. Inf. Theory Touheed Anwar Atif, Mohsen Heidari, S. Sandeep Pradhan
2022	J	`jnl`	On Non-Interactive Source Simulation via Fourier Transform. CoRR Farhad Shirani, Mohsen Heidari
2022	A*	`conf`	Precise Regret Bounds for Log-loss via a Truncated Bayesian Algorithm. NeurIPS Changlong Wu, Mohsen Heidari, Ananth Grama, Wojciech Szpankowski
2022	J	`jnl`	Precise Regret Bounds for Log-loss via a Truncated Bayesian Algorithm. CoRR Changlong Wu, Mohsen Heidari, Ananth Grama, Wojciech Szpankowski
2022	B	`conf`	Sequential vs. Fixed Design Regrets in Online Learning. ISIT Changlong Wu, Mohsen Heidari, Ananth Grama, Wojciech Szpankowski
2022	J	`jnl`	Sufficiently Informative and Relevant Features: An Information-Theoretic and Fourier-Based Characterization. IEEE Trans. Inf. Theory Mohsen Heidari, Jithin K. Sreedharan, Gil I. Shamir, Wojciech Szpankowski
2022	A*	`conf`	Toward Physically Realizable Quantum Neural Networks. AAAI Mohsen Heidari, Ananth Grama, Wojciech Szpankowski
2022	J	`jnl`	Toward Physically Realizable Quantum Neural Networks. CoRR Mohsen Heidari, Ananth Grama, Wojciech Szpankowski
2022	J	`jnl`	Upper Bounds on the Feedback Error Exponent of Channels With States and Memory. CoRR Mohsen Heidari, Achilleas Anastasopoulos, S. Sandeep Pradhan
2022	B	`conf`	Upper Bounds on the Feedback Error Exponent of Channels With States and With Memory. ISIT Mohsen Heidari, Achilleas Anastasopoulos, S. Sandeep Pradhan
2021	J	`jnl`	A Low Degree Learning Algorithm for Quantum Data via Quantum Fourier. CoRR Mohsen Heidari, Wojciech Szpankowski
2021	B	`conf`	A Theoretical Framework for Learning from Quantum Data. ISIT Mohsen Heidari, Arun Padakandla, Wojciech Szpankowski
2021	J	`jnl`	A Theoretical Framework for Learning from Quantum Data. CoRR Mohsen Heidari, Arun Padakandla, Wojciech Szpankowski
2021	A*	`conf`	Finding Relevant Information via a Discrete Fourier Expansion. ICML Mohsen Heidari, Jithin K. Sreedharan, Gil I. Shamir, Wojciech Szpankowski
2021	B	`conf`	Information Sufficiency via Fourier Expansion. ISIT Mohsen Heidari, Jithin K. Sreedharan, Gil I. Shamir, Wojciech Szpankowski
2021	J	`jnl`	On Agnostic PAC Learning using L CoRR Mohsen Heidari, Wojciech Szpankowski
2020	J	`jnl`	Structured Mappings and Conferencing Common Information for Multiple-Access Channels. IEEE Trans. Inf. Theory Mohsen Heidari, S. Sandeep Pradhan
2019	B	`conf`	Boolean Functions with Biased Inputs: Approximation and Noise Sensitivity. ISIT Mohsen Heidari, S. Sandeep Pradhan, Ramji Venkataramanan
2019	J	`jnl`	Boolean Functions with Biased Inputs: Approximation and Noise Sensitivity. CoRR Mohsen Heidari, S. Sandeep Pradhan, Ramji Venkataramanan
2019	J	`jnl`	Design and Analysis of a Graphene Magneto-Plasmon Waveguide for Plasmonic Mode Switch. IEEE Access Mohsen Heidari, Vahid Ahmadi
2019	B	`conf`	Faithful Simulation of Distributed Quantum Measurements with Applications in Distributed Rate-Distortion Theory. ISIT Mohsen Heidari, Touheed Anwar Atif, S. Sandeep Pradhan
2019	J	`jnl`	Faithful Simulation of Distributed Quantum Measurements with Applications in Distributed Rate-Distortion Theory. CoRR Mohsen Heidari, Touheed Anwar Atif, S. Sandeep Pradhan
2019	J	`jnl`	Quasi Structured Codes for Multi-Terminal Communications. IEEE Trans. Inf. Theory Mohsen Heidari, Farhad Shirani, S. Sandeep Pradhan
2019	J	`jnl`	Structured Mappings and Conferencing Common Information for Multiple-access Channels. CoRR Mohsen Heidari, S. Sandeep Pradhan
2018	B	`conf`	Bounds on the Effective-length of Optimal Codes for Interference Channel with Feedback. ISIT Mohsen Heidari, Farhad Shirani Chaharsooghi, S. Sandeep Pradhan
2018	J	`jnl`	Bounds on the Effective-length of Optimal Codes for Interference Channel with Feedback. CoRR Mohsen Heidari, Farhad Shirani Chaharsooghi, S. Sandeep Pradhan
2018	J	`jnl`	Corrections to "Abelian Group Codes for Channel Coding and Source Coding". IEEE Trans. Inf. Theory S. Sandeep Pradhan, Mohsen Heidari, Aria Ghasemian Sahebi
2018	B	`conf`	On The Reliability Function of Discrete Memoryless Multiple-Access Channel with Feedback. ITW Mohsen Heidari, Achilleas Anastasopoulos, S. Sandeep Pradhan
2018	J	`jnl`	On The Reliability Function of Discrete Memoryless Multiple-Access Channel with Feedback. CoRR Mohsen Heidari, Achilleas Anastasopoulos, S. Sandeep Pradhan
2017	J	`jnl`	A New Achievable Rate Region for Multiple-Access Channel with States. CoRR Mohsen Heidari, Farhad Shirani Chaharsooghi, S. Sandeep Pradhan
2017	B	`conf`	A new achievable rate region for multiple-access channel with states. ISIT Mohsen Heidari, Farhad Shirani Chaharsooghi, S. Sandeep Pradhan
2017	J	`jnl`	How to Compute Modulo Prime-Power Sums ? CoRR Mohsen Heidari, Farhad Shirani Chaharsooghi, S. Sandeep Pradhan
2017	J	`jnl`	On the Necessity of Structured Codes for Communications over MAC with Feedback. CoRR Mohsen Heidari, Farhad Shirani Chaharsooghi, S. Sandeep Pradhan
2017	B	`conf`	On the necessity of structured codes for communications over MAC with feedback. ISIT Mohsen Heidari, Farhad Shirani Chaharsooghi, S. Sandeep Pradhan
2016	J	`jnl`	How to Compute Modulo Prime-Power Sums. CoRR Mohsen Heidari, S. Sandeep Pradhan
2016	B	`conf`	How to compute modulo prime-power sums. ISIT Mohsen Heidari, S. Sandeep Pradhan
2016	J	`jnl`	New Sufficient Conditions for Multiple-Access Channel with Correlated Sources. CoRR Mohsen Heidari, Farhad Shirani Chaharsooghi, S. Sandeep Pradhan
2016	B	`conf`	New sufficient conditions for Multiple-Access Channel with correlated sources. ISIT Mohsen Heidari, Farhad Shirani Chaharsooghi, S. Sandeep Pradhan
2016	J	`jnl`	Quasi Linear Codes: Application to Point-to-Point and Multi-Terminal Source Coding. CoRR Farhad Shirani Chaharsooghi, Mohsen Heidari, S. Sandeep Pradhan
2016	B	`conf`	Quasi Linear Codes: Application to point-to-point and multi-terminal source coding. ISIT Farhad Shirani Chaharsooghi, Mohsen Heidari, S. Sandeep Pradhan
2015	B	`conf`	Beyond group capacity in multi-terminal communications. ISIT Mohsen Heidari, Farhad Shirani Chaharsooghi, S. Sandeep Pradhan
2015	B	`conf`	New lattice codes for multiple-descriptions. ISIT Farhad Shirani Chaharsooghi, Mohsen Heidari, S. Sandeep Pradhan