Nauman Ahad

According to our database, Nauman Ahad authored at least 12 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Time Series Domain Adaptation via Channel-Selective Representation Alignment.

Nauman Ahad, Mark A. Davenport, Eva L. Dyer

Trans. Mach. Learn. Res., 2025

2023

Relax, it doesn't matter how you get there: A new self-supervised approach for multi-timescale behavior analysis.

Mehdi Azabou, Michael Mendelson, Nauman Ahad, Maks Sorokin, Shantanu Thakoor, Carolina Urzay, Eva L. Dyer

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Detecting change points in neural population activity with contrastive metric learning.

Carolina Urzay, Nauman Ahad, Mehdi Azabou, Aidan Schneider, Geethika Atamkuri, Keith B. Hengen, Eva L. Dyer

Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023

2022

Learning Behavior Representations Through Multi-Timescale Bootstrapping.

Mehdi Azabou, Michael Mendelson, Maks Sorokin, Shantanu Thakoor, Nauman Ahad, Carolina Urzay, Eva L. Dyer

CoRR, 2022

Learning Sinkhorn divergences for supervised change point detection.

Nauman Ahad, Eva L. Dyer, Keith B. Hengen, Yao Xie, Mark A. Davenport

CoRR, 2022

MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction.

Jorge Quesada, Lakshmi Sathidevi, Ran Liu, Nauman Ahad, Joy M. Jackson, Mehdi Azabou, Jingyun Xiao, Christopher Liding, Matthew Jin, Carolina Urzay, William R. Gray Roncal, Erik C. Johnson, Eva L. Dyer

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Delta Distancing: A Lifting Approach to Localizing Items from User Comparisons.

Andrew D. McRae, Austin Xu, Jihui Jin, Namrata Nadagouda, Nauman Ahad, Peimeng Guan, Santhosh Karnik, Mark A. Davenport

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time.

Feng Zhu, Andrew R. Sedler, Harrison A. Grier, Nauman Ahad, Mark A. Davenport, Matthew T. Kaufman, Andrea Giovannucci, Chethan Pandarinath

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Semi-supervised Sequence Classification through Change Point Detection.

Nauman Ahad, Mark A. Davenport

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2016

Neural networks in wireless networks: Techniques, applications and guidelines.

Nauman Ahad, Junaid Qadir, Nasir Ahsan

J. Netw. Comput. Appl., 2016

2014

Building programmable wireless networks: an architectural survey.

Junaid Qadir, Nadeem Ahmed, Nauman Ahad

EURASIP J. Wirel. Commun. Netw., 2014

SDNs, Clouds, and Big Data: New Opportunities.

Junaid Qadir, Nauman Ahad, Erum Mushtaq, Muhammad Bilal

Proceedings of the 12th International Conference on Frontiers of Information Technology, 2014