Nauman Ahad

18 papers A* 4Misc 2Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Learning Sinkhorn Divergences for Change Point Detection.
IEEE Trans. Signal Process.
Nauman Ahad, Eva L. Dyer, Keith B. Hengen, Yao Xie, Mark A. Davenport
2025 J jnl
Time Series Domain Adaptation via Channel-Selective Representation Alignment.
Trans. Mach. Learn. Res.
Nauman Ahad, Mark A. Davenport, Eva L. Dyer
2023 — conf
Detecting change points in neural population activity with contrastive metric learning.
NER
Carolina Urzay, Nauman Ahad, Mehdi Azabou, Aidan Schneider, Geethika Atamkuri, Keith B. Hengen, Eva L. Dyer
2023 J jnl
MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction.
CoRR
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
2023 A* conf
Relax, it doesn't matter how you get there: A new self-supervised approach for multi-timescale behavior analysis.
NeurIPS
Mehdi Azabou, Michael Mendelson, Nauman Ahad, Maks Sorokin, Shantanu Thakoor, Carolina Urzay, Eva L. Dyer
2023 J jnl
Relax, it doesn't matter how you get there: A new self-supervised approach for multi-timescale behavior analysis.
CoRR
Mehdi Azabou, Michael Mendelson, Nauman Ahad, Maks Sorokin, Shantanu Thakoor, Carolina Urzay, Eva L. Dyer
2022 Misc conf
Delta Distancing: A Lifting Approach to Localizing Items from User Comparisons.
ICASSP
Andrew D. McRae, Austin Xu, Jihui Jin, Namrata Nadagouda, Nauman Ahad, Peimeng Guan, Santhosh Karnik, Mark A. Davenport
2022 J jnl
Learning Behavior Representations Through Multi-Timescale Bootstrapping.
CoRR
Mehdi Azabou, Michael Mendelson, Maks Sorokin, Shantanu Thakoor, Nauman Ahad, Carolina Urzay, Eva L. Dyer
2022 J jnl
Learning Sinkhorn divergences for supervised change point detection.
CoRR
Nauman Ahad, Eva L. Dyer, Keith B. Hengen, Yao Xie, Mark A. Davenport
2022 A* conf
MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction.
NeurIPS
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
2021 A* conf
Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time.
NeurIPS
Feng Zhu, Andrew R. Sedler, Harrison A. Grier, Nauman Ahad, Mark A. Davenport, Matthew T. Kaufman, Andrea Giovannucci, Chethan Pandarinath
2021 J jnl
Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time.
CoRR
Feng Zhu, Andrew R. Sedler, Harrison A. Grier, Nauman Ahad, Mark A. Davenport, Matthew T. Kaufman, Andrea Giovannucci, Chethan Pandarinath
2021 A* conf
Semi-supervised Sequence Classification through Change Point Detection.
AAAI
Nauman Ahad, Mark A. Davenport
2020 J jnl
Semi-supervised sequence classification through change point detection.
CoRR
Nauman Ahad, Mark A. Davenport
2016 J jnl
Neural networks in wireless networks: Techniques, applications and guidelines.
J. Netw. Comput. Appl.
Nauman Ahad, Junaid Qadir, Nasir Ahsan
2014 J jnl
Building programmable wireless networks: an architectural survey.
EURASIP J. Wirel. Commun. Netw.
Junaid Qadir, Nadeem Ahmed, Nauman Ahad
2014 Misc conf
SDNs, Clouds, and Big Data: New Opportunities.
FIT
Junaid Qadir, Nauman Ahad, Erum Mushtaq, Muhammad Bilal
2013 J jnl
Building Programmable Wireless Networks: An Architectural Survey.
CoRR
Junaid Qadir, Nadeem Ahmed, Nauman Ahad