Recep Gül

Note: Recep Gül is no longer with our group.

Publications

• Journal Papers and Manuscripts
  • Metric entropy limits on recurrent neural network learning of linear dynamical systems
    C. Hutter, R. Gül, and H. Bölcskei, Applied and Computational Harmonic Analysis, Vol. 59, pp. 198-223, July 2022, (invited paper).
  • Canonical conditions for K/2 degrees of freedom
    R. Gül, D. Stotz, S. A. Jafar, H. Bölcskei, and S. Shamai (Shitz), IEEE Transactions on Information Theory, Vol. 68, No. 3, pp. 1716-1730, Mar. 2022.
  • QoS Constrained Semi-Persistent Scheduling of Machine Type Communications in Cellular Networks
    G. Karadağ, R. Gül, Y. Şadi, and S. Çöleri Ergen, IEEE Transactions on Wireless Communications, Vol. 18, No.5, pp. 2737-2750, May 2019.

• Conference, Symposium, and Workshop Papers
  • Necessary conditions for K/2 degrees of freedom
    R. Gül, H. Bölcskei, and S. Shamai (Shitz), Proc. of IEEE International Symposium on Information Theory (ISIT), Vail, CO, USA, pp. 2574-2578, June 2018.

Supervised Theses

• Diploma Theses
  • Hutter, Clemens, "Fundamental Limits of DNN Learning of Dynamical Systems," Fall semester 2020
    Supervisor(s): Recep Gül
  • Faille, Juliette, "Approximation Theoretic Properties of Deep Neural Networks," Fall semester 2018
    Supervisor(s): Recep Gül

• Student Projects
  • Hutter, Clemens, "Learning Dynamical Systems With Recurrent Neural Networks," Spring semester 2020
    Supervisor(s): Recep Gül
  • Stehli, Jonas, "Benefits of Depth in Deep Neural Networks," Spring semester 2019
    Supervisor(s): Recep Gül
  • Faille, Juliette, "Sufficient Conditions for Full Degrees of Freedom in Compound Interference Channels," Spring semester 2018
    Supervisor(s): Recep Gül

Patents

• A Method of QoS-Constrained Semi-Persistent Scheduling of Machine Type Communications in Cellular Networks
  G. Karadağ, R. Gül, Y. Şadi, and S. Çöleri Ergen, submitted.