Publications

Under Review and Working Papers

• [W5] M. Heidari, “Convergence of Gradient-Based Trainings for Noisy-Intermediate Quantum Circuits", preprint.

• [W4] M. Heidari, P. Jacquet, W. Szpankowski, “Regret for Online Regression with General Log-Type Losses", under review.
  

• [W3] M. Heidari, W. Szpankowski, “Quantum State Classification via Quantum Fourier", under review in IEEE Transaction on Information Theory, 2021.
  

• [W2] M. Heidari, W. Szpankowski, “On Agnostic PAC Learning Using L2-Polynomial Regression and Fourier Based Algorithms", Pre-print.
  

• [W1] M. Heidari, A. Anastasopoulos, S. Pradhan, “On The Reliability Function of Discrete Memoryless Multiple Access Channel with Feedback", pre-print for IEEE Transactions on Information Theory.

Journal Papers

• [J6] M. Heidari, J. K. Sreedharan, G. I. Shamir, W. Szpankowski, “Sufficiently Informative and Relevant Features: An Information-theoretic and Fourier-based Characterization", in IEEE Transactions on Information Theory, doi: 10.1109/TIT.2022.3169998, 2022.
  

• [J5] T. Anwar Atif, M. Heidari, S. Pradhan, “Faithful Simulation of Distributed Quantum Measurements with Applications in Distributed Rate-Distortion Theory", in IEEE Transactions on Information Theory, pp. 1-34, 2021, doi: 10.1109/TIT.2021.3124976, 2022.
  

• [J4] M. Heidari, S. Pradhan, “Structured Mappings and Conferencing Common Information for Multiple-Access Channels", in IEEE Transactions on Information Theory, vol. 66, no. 7, pp. 4203-4225, 2020.
  

• [J3] M. Heidari, F. Shirani, S. Pradhan, “Quasi Structured Codes for Multi-Terminal Communications", in IEEE Transactions on Information Theory, vol. 65, no. 10, pp. 6263-6289, 2019.
  

• [J2] R. Kazemi, M. Boloursaz, M.H. Khoozani, F. Behnia, “Modem based on sphere packing techniques in high-dimensional Euclidean sub-space for efficient data over voice communication through mobile voice channels", IET Communications 2015, 9, (4), p. 508-516, DOI: 10.1049/iet-com.2014.0610

• [J1] M.H. Khoozani, F. Marvasti, E. Azghani, M. Ghassemian, “Finding Sub-Optimum Signature Matrices for Overloaded Code Division Multiple Access Systems", IET Communications 2013, 7, (4), p. 295-306, DOI: 10.1049/iet-com.2012.0208.

Conference Papers

• [C18] C. Wu, M. Heidari, A. Grama, W. Szpankowski, “Sequential vs Fixed Design Regrets in Online Learning", IEEE International Symposium on Information Theory (ISIT), 2022.
  

• [C17] M. Heidari, A. Anastasopoulos, S. Pradhan, “Upper Bounds on the Feedback Error Exponent of Channels with State and Memory", IEEE International Symposium on Information Theory (ISIT), 2022.
  

• [C16] M. Heidari, A. Grama, W. Szpankowski, “Toward Physically Realizable Quantum Neural Networks", Association for the Advancement of Artificial Intelligence (AAAI), 2022.
  

• [C15] M. Heidari, J. K. Sreedharan, G. I. Shamir, W. Szpankowski, “Finding Relevant Information via a Discrete Fourier Expansion", International Conference on Machine Learning (ICML), 2021.
  

• [C14] M. Heidari, A. Padakandla, W. Szpankowski, “A Theoretical Framework for Learning from Quantum Data", IEEE International Symposium on Information Theory (ISIT), 2021.
  

• [C13] M. Heidari, J. K. Sreedharan, G. I. Shamir, W. Szpankowski, “Information Sufficiency via Fourier Expansion", IEEE International Symposium on Information Theory (ISIT), 2021.
  

• [C12] M. Heidari, T. Atif, S. Pradhan,”Faithful Simulation of Distributed Quantum Measurements", IEEE International Symposium on Information Theory Proceedings (ISIT), 2019.
  

• [C11] M. Heidari, R. Venkataramanan, S. Pradhan,”Boolean Functions with Biased Inputs: Approximation and Noise Sensitivity", IEEE International Symposium on Information Theory Proceedings (ISIT), 2019.
  

• [C10] M. Heidari, A. Anastasopoulos, S. Pradhan,”On The Reliability Function of Discrete Memoryless Multiple-Access Channel with Feedback", Information Theory Workshop (ITW), 2018.
  .

• [C9] M. Heidari, F. Shirani, S. Pradhan, “Bounds on the Effective-length of Optimal Codes for Interference Channel with Feedback”, IEEE International Symposium on Information Theory Proceedings (ISIT), July 2018.
  

• [C8] M. Heidari, F. Shirani, S. Pradhan,”A New Achievable Rate Region for Multiple Access Channel with States", IEEE International Symposium on Information Theory Proceedings (ISIT), July 2017.
  

• [C7] M. Heidari, F. Shirani, S. Pradhan,”On The Necessity of Structured codes for Communications over MAC with Feedback", IEEE International Symposium on Information Theory Proceedings (ISIT), July 2017.
  

• [C6] M. Heidari, S. Pradhan,”How to Compute Modulo Prime-Power Sums?", IEEE International Symposium on Information Theory Proceedings (ISIT), Jun 2016.
  

• [C5] M. Heidari, F. Shirani, S. Pradhan,”New Sufficient Conditions for Multiple-Access Channel with Correlated Sources", IEEE International Symposium on Information Theory Proceedings (ISIT), Jun 2016.
  

• [C4] F. Shirani, M. Heidari, S. Pradhan, “Quasi Linear Codes: Application to Point-to-Point and Multi-Terminal Source Coding", IEEE International Symposium on Information Theory Proceedings (ISIT), Jun 2016.
  

• [C3] M. Heidari, F. Shirani, S. Pradhan, “Beyond Group Capacity in Multi-terminal Communications", IEEE International Symposium on Information Theory Proceedings (ISIT), Jun 2015.
  

• [C2] F. Shirani, M. Heidari, S. Pradhan, “New Lattice Codes For Multiple Descriptions", IEEE International Symposium on Information Theory Proceedings (ISIT), Jun 2015.
  

• [C1] M. H. Khoozani, A. Rashidinejad, M.H.L Froushani, P. Pad, and F. Marvasti,
  “Almost-Optimum Signature Matrices in Binary-Input Synchronous Overloaded CDMA," 18th IEEE Int. Conf. on Telecommunications (ICT), May 2011.

PhD Thesis

Capacity, Error Exponent, and Structural Results for Communication Networks.