Markerless tracking of user-defined features with deep learning. - Alexander Mathis; Pranav Mamidanna; Taiga Abe; Kevin M. Cury; Venkatesh N. Murthy; Mackenzie W. Mathis; Matthias Bethge (CoRR, 2018)

Pretraining boosts out-of-domain robustness for pose estimation. - Alexander Mathis; Mert Yüksekgönül; Byron Rogers; Matthias Bethge; Mackenzie W. Mathis (CoRR, 2019)

Deep learning tools for the measurement of animal behavior in neuroscience. - Mackenzie W. Mathis; Alexander Mathis (CoRR, 2019)

A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and Perspectives. - Alexander Mathis; Steffen Schneider 001; Jessy Lauer; Mackenzie W. Mathis (CoRR, 2020)

AcinoSet: A 3D Pose Estimation Dataset and Baseline Models for Cheetahs in the Wild. - Daniel Joska; Liam Clark; Naoya Muramatsu; Ricardo Jericevich; Fred Nicolls; Alexander Mathis; Mackenzie W. Mathis; Amir Patel (ICRA, 2021)

Pretraining boosts out-of-domain robustness for pose estimation. - Alexander Mathis; Thomas Biasi; Steffen Schneider 001; Mert Yüksekgönül; Byron Rogers; Matthias Bethge; Mackenzie W. Mathis (WACV, 2021)

Measuring and modeling the motor system with machine learning. - Sébastien B. Hausmann; Alessandro Marin Vargas; Alexander Mathis; Mackenzie W. Mathis (CoRR, 2021)

Seeing biodiversity: perspectives in machine learning for wildlife conservation. - Devis Tuia; Benjamin Kellenberger; Sara Beery; Blair R. Costelloe; Silvia Zuffi; Benjamin Risse; Alexander Mathis; Mackenzie W. Mathis; Frank van Langevelde; Tilo Burghardt; Roland Kays; Holger Klinck; et al. (CoRR, 2021)

Panoptic animal pose estimators are zero-shot performers. - Shaokai Ye; Alexander Mathis; Mackenzie Weygandt Mathis (CoRR, 2022)

Learnable latent embeddings for joint behavioral and neural analysis. - Steffen Schneider 001; Jin Hwa Lee; Mackenzie Weygandt Mathis (CoRR, 2022)

Rethinking pose estimation in crowds: overcoming the detection information bottleneck and ambiguity. - Mu Zhou; Lucas Stoffl; Mackenzie Weygandt Mathis; Alexander Mathis (ICCV, 2023)

AmadeusGPT: a natural language interface for interactive animal behavioral analysis. - Shaokai Ye; Jessy Lauer; Mu Zhou; Alexander Mathis; Mackenzie W. Mathis (NeurIPS, 2023)

Adaptive Intelligence: leveraging insights from adaptive behavior in animals to build flexible AI systems. - Mackenzie Weygandt Mathis (CoRR, 2024)

Time-series attribution maps with regularized contrastive learning. - Steffen Schneider 001; Rodrigo González Laiz; Anastasiia Filippova; Markus Frey; Mackenzie W. Mathis (AISTATS, 2025)

Adversarially Robust Out-of-Distribution Detection Using Lyapunov-Stabilized Embeddings. - Hossein Mirzaei; Mackenzie W. Mathis (ICLR, 2025)

A Contrastive Teacher-Student Framework for Novelty Detection under Style Shifts. - Hossein Mirzaei; Mojtaba Nafez; Moein Madadi; Arad Maleki; Mahdi Hajialilue; Zeinab Sadat Taghavi; Sepehr Rezaee; Ali Ansari 001; Bahar Dibaei Nia; Kian Shamsaie; Mohammadreza Salehi; Mackenzie W. Mathis; et al. (CoRR, 2025)

LLaVAction: evaluating and training multi-modal large language models for action recognition. - Shaokai Ye; Haozhe Qi; Alexander Mathis; Mackenzie W. Mathis (CoRR, 2025)

DISTIL: Data-Free Inversion of Suspicious Trojan Inputs via Latent Diffusion. - Hossein Mirzaei; Zeinab Taghavi 001; Sepehr Rezaee; Masoud Hadi; Moein Madadi; Mackenzie W. Mathis (CoRR, 2025)