Nauman Ahad

Joined

May 2021

Names

Nauman Ahad (Preferred)

Emails

****@gatech.edu (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Google Scholar

DBLP

Semantic Scholar

Career & Education History

PhD student

Georgia Institute of Technology (gatech.edu)

2018 – 2023

Researcher

NEC-Labs (nec-labs.com)

2021 – 2021

MS student

Georgia Institute of Technology (gatech.edu)

2016 – 2018

Undergrad student

National University of Sciences and Technology (nust.edu.pk)

2010 – 2014

Advisors, Relations & Conflicts

No relations added

Expertise

Change detection

Time series

Domain Adaptation

Active learning

dynamical systems

2018 – Present

Publications

Time Series Domain Adaptation via Channel-Selective Representation Alignment
Nauman Ahad, Mark A. Davenport, Eva L Dyer
- Accepted by TMLR
- Readers: Everyone
Relax, it doesn’t matter how you get there: A new self-supervised approach for multi-timescale behavior analysis
Mehdi Azabou, Michael Jacob Mendelson, Nauman Ahad, Maks Sorokin, Shantanu Thakoor, Carolina Urzay, Eva L Dyer
- NeurIPS 2023 spotlight
- Readers: Everyone
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
- 2023 (modified: 17 Apr 2023)
- CoRR 2023
- Readers: Everyone
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
- 2023 (modified: 18 Apr 2023)
- CoRR 2023
- Readers: Everyone
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, Chris Liding, Matthew Jin, Carolina Urzay, William Gray-Roncal, Erik Christopher Johnson, Eva L Dyer
- Published: 17 Sept 2022, Last Modified: 08 Feb 2026
- NeurIPS 2022 Datasets and Benchmarks
- Readers: Everyone
Learning Behavior Representations Through Multi-Timescale Bootstrapping
Mehdi Azabou, Michael Mendelson, Maks Sorokin, Shantanu Thakoor, Nauman Ahad, Carolina Urzay, Eva L. Dyer
- 2022 (modified: 15 Nov 2022)
- CoRR 2022
- Readers: Everyone
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
- Published: 01 Jan 2022, Last Modified: 09 May 2023
- ICASSP 2022
- Readers: Everyone
Learning Sinkhorn divergences for supervised change point detection
Nauman Ahad, Eva L. Dyer, Keith B. Hengen, Yao Xie, Mark A. Davenport
- Published: 01 Jan 2022, Last Modified: 09 May 2023
- CoRR 2022
- Readers: Everyone
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 Gray-Roncal, Erik Johnson, Eva L. Dyer
- Published: 01 Jan 2022, Last Modified: 09 May 2023
- NeurIPS 2022
- Readers: Everyone
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 Kaufman, Andrea Giovannucci, Chethan Pandarinath
- Published: 09 Nov 2021, Last Modified: 26 May 2025
- NeurIPS 2021 Poster
- Readers: Everyone

View all 19 publications

Co-Authors

View all 45 co-authors