Nauman Ahad

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 13

Top Topics

Backpropagation Neural Networks

Levels Of Abstraction

Change Point Detection

Top Venues

EURASIP J. Wirel. Commun. Netw.

Publications

Mehdi Azabou, Michael Mendelson, Nauman Ahad, Maks Sorokin, Shantanu Thakoor, Carolina Urzay, Eva L. Dyer
Relax, it doesn't matter how you get there: A new self-supervised approach for multi-timescale behavior analysis. NeurIPS (2023)
Mehdi Azabou, Michael Mendelson, Nauman Ahad, Maks Sorokin, Shantanu Thakoor, Carolina Urzay, Eva L. Dyer
Relax, it doesn't matter how you get there: A new self-supervised approach for multi-timescale behavior analysis. CoRR (2023)
Carolina Urzay, Nauman Ahad, Mehdi Azabou, Aidan Schneider, Geethika Atamkuri, Keith B. Hengen, Eva L. Dyer
Detecting change points in neural population activity with contrastive metric learning. NER (2023)
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
MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction. CoRR (2023)
Andrew D. McRae, Austin Xu, Jihui Jin, Namrata Nadagouda, Nauman Ahad, Peimeng Guan, Santhosh Karnik, Mark A. Davenport
Delta Distancing: A Lifting Approach to Localizing Items from User Comparisons. ICASSP (2022)
Nauman Ahad, Eva L. Dyer, Keith B. Hengen, Yao Xie, Mark A. Davenport
Learning Sinkhorn divergences for supervised change point detection. CoRR (2022)
Mehdi Azabou, Michael Mendelson, Maks Sorokin, Shantanu Thakoor, Nauman Ahad, Carolina Urzay, Eva L. Dyer
Learning Behavior Representations Through Multi-Timescale Bootstrapping. CoRR (2022)
Jorge Quesada, Lakshmi Sathidevi, Ran Liu, Nauman Ahad, Joy M. Jackson, Mehdi Azabou, Jingyun Xiao, Christopher Liding, Matthew Jin, Carolina Urzay, William Gray-Roncal, Erik Johnson, Eva L. Dyer
MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction. NeurIPS (2022)
Feng Zhu, Andrew R. Sedler, Harrison A. Grier, Nauman Ahad, Mark A. Davenport, Matthew T. Kaufman, Andrea Giovannucci, Chethan Pandarinath
Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time. NeurIPS (2021)
Nauman Ahad, Mark A. Davenport
Semi-supervised Sequence Classification through Change Point Detection. AAAI (2021)
Feng Zhu, Andrew R. Sedler, Harrison A. Grier, Nauman Ahad, Mark A. Davenport, Matthew T. Kaufman, Andrea Giovannucci, Chethan Pandarinath
Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time. CoRR (2021)
Nauman Ahad, Mark A. Davenport
Semi-supervised sequence classification through change point detection. CoRR (2020)
Nauman Ahad, Junaid Qadir, Nasir Ahsan
Neural networks in wireless networks: Techniques, applications and guidelines. J. Netw. Comput. Appl. 68 (2016)
Junaid Qadir, Nadeem Ahmed, Nauman Ahad
Building programmable wireless networks: an architectural survey. EURASIP J. Wirel. Commun. Netw. 2014 (2014)
Junaid Qadir, Nauman Ahad, Erum Mushtaq, Muhammad Bilal
SDNs, Clouds, and Big Data: New Opportunities. FIT (2014)
Junaid Qadir, Nadeem Ahmed, Nauman Ahad
Building Programmable Wireless Networks: An Architectural Survey. CoRR (2013)