Nauman Ahad

4 papers · 2021–2023 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12)

Venues

NeurIPS (3) AAAI (1)

Top co-authors

Eva Dyer (2) Mehdi Azabou (2) Carolina Urzay (2) Erik Johnson (1) Andrea Giovannucci (1) Michael Mendelson (1) Christopher Liding (1) Ran Liu (1) Chethan Pandarinath (1) Harrison A Grier (1)

Research topics

Artificial Intelligence (3) Learning Paradigms (3) Deep Learning (2) Machine Learning (2) Core Methods (2) Learning Types · Machine Learning (2) Computer Vision (1) Analysis (1) Architectures (1) Domain-Specific (1) Learning Types · Deep Learning (1) Models (1)

Keywords

representation learning (3) self-supervised learning (2) semi-supervised learning (1) multi-task learning (1) human activity recognition (1) behavior analysis (1) sequence classification (1) neural population dynamics (1) action prediction (1) variational autoencoder (1) latent dynamics (1) sequential autoencoder (1) brain mapping (1) selective backpropagation (1) change point detection (1) neuroimaging benchmark (1) semantic segmentation (1)

Papers

Relax, it doesn’t matter how you get there: A new self-supervised approach for multi-timescale behavior analysis NeurIPS 2023 MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction NeurIPS 2022 Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time NeurIPS 2021 Semi-supervised Sequence Classification through Change Point Detection AAAI 2021