Home Publications CV

Selected Publications

  1. Learning DNF through Generalized Fourier Representations

    M. Heidari*, R. Khardon*,
    Conference on Learning Theory (CoLT'25).

  2. Toward Physically Realizable Quantum Neural Networks

    M. Heidari, A. Grama, W. Szpankowski,
    Association for the Advancement of Artificial Intelligence (AAAI), 2022.

  3. Faithful Simulation of Distributed Quantum Measurements with Applications in Distributed Rate-Distortion Theory

    T. Anwar Atif, M. Heidari, S. Pradhan,
    in IEEE Transactions on Information Theory, 2022.

  4. Finding Relevant Information via a Discrete Fourier Expansion

    M. Heidari, J. K. Sreedharan, G. I. Shamir, W. Szpankowski,
    International Conference on Machine Learning (ICML), 2021.

  5. A Theoretical Framework for Learning from Quantum Data

    M. Heidari, A. Padakandla, W. Szpankowski,
    IEEE International Symposium on Information Theory (ISIT), 2021.

All Publications

PhD Thesis