Cognitive-Assisted Interactive Labeling of Skin Lesions and Blood Cells. - Francois P. S. Luus; Ismail Akhalwaya; Naweed Khan (ICMLA, 2018)

Interactive Supervision with t-SNE. - Francois P. S. Luus; Naweed Khan; Ismail Akhalwaya (K-CAP, 2019)

Designing Digital Peer Assessment for Second Language Learning in Low Resource Learning Settings. - Maletsabisa Molapo; Chane Simone Moodley; Ismail Yunus Akhalwaya; Toby Kurien; Jay Kloppenberg; Richard A. Young (L@S, 2019)

Active Learning with TensorBoard Projector. - Francois P. S. Luus; Naweed Khan; Ismail Akhalwaya (CoRR, 2019)

Logical Neural Networks. - Ryan Riegel; Alexander G. Gray; Francois P. S. Luus; Naweed Khan; Ndivhuwo Makondo; Ismail Yunus Akhalwaya; Haifeng Qian; Ronald Fagin; Francisco Barahona; Udit Sharma; Shajith Ikbal; Hima Karanam; et al. (CoRR, 2020)

Training Logical Neural Networks by Primal-Dual Methods for Neuro-Symbolic Reasoning. - Songtao Lu; Naweed Khan; Ismail Yunus Akhalwaya; Ryan Riegel; Lior Horesh; Alexander G. Gray (ICASSP, 2021)

The Effect of Noise on the Performance of Variational Algorithms for Quantum Chemistry. - Waheeda Saib; Petros Wallden; Ismail Akhalwaya (QCE, 2021)

Quantum Topological Data Analysis with Linear Depth and Exponential Speedup. - Shashanka Ubaru; Ismail Yunus Akhalwaya; Mark S. Squillante; Kenneth L. Clarkson; Lior Horesh (CoRR, 2021)

Efficient Quantum Computation of the Fermionic Boundary Operator. - Ismail Yunus Akhalwaya; Yang-Hui He; Lior Horesh; Vishnu Jejjala; William Kirby; Kugendran Naidoo; Shashanka Ubaru (CoRR, 2022)

Towards Quantum Advantage on Noisy Quantum Computers. - Ismail Yunus Akhalwaya; Shashanka Ubaru; Kenneth L. Clarkson; Mark S. Squillante; Vishnu Jejjala; Yang-Hui He; Kugendran Naidoo; Vasileios Kalantzis; Lior Horesh (CoRR, 2022)

Topological data analysis on noisy quantum computers. - Ismail Yunus Akhalwaya; Shashanka Ubaru; Kenneth L. Clarkson; Mark S. Squillante; Vishnu Jejjala; Yang-Hui He; Kugendran Naidoo; Vasileios Kalantzis; Lior Horesh (ICLR, 2024)