Mackenzie W. Mathis

According to our database, Mackenzie W. Mathis authored at least 18 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

DISTIL: Data-Free Inversion of Suspicious Trojan Inputs via Latent Diffusion.

Hossein Mirzaei, Zeinab Taghavi, Sepehr Rezaee, Masoud Hadi, Moein Madadi, Mackenzie W. Mathis

CoRR, July, 2025

LLaVAction: evaluating and training multi-modal large language models for action recognition.

Shaokai Ye, Haozhe Qi, Alexander Mathis, Mackenzie W. Mathis

CoRR, March, 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, Bahar Dibaei Nia, Kian Shamsaie, Mohammadreza Salehi, Mackenzie W. Mathis, Mahdieh Soleymani Baghshah, Mohammad Sabokrou, Mohammad Hossein Rohban

CoRR, January, 2025

Adversarially Robust Out-of-Distribution Detection Using Lyapunov-Stabilized Embeddings.

Hossein Mirzaei, Mackenzie W. Mathis

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Time-series attribution maps with regularized contrastive learning.

Steffen Schneider, Rodrigo González Laiz, Anastasiia Filippova, Markus Frey, Mackenzie W. Mathis

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Adaptive Intelligence: leveraging insights from adaptive behavior in animals to build flexible AI systems.

Mackenzie Weygandt Mathis

CoRR, 2024

2023

AmadeusGPT: a natural language interface for interactive animal behavioral analysis.

Shaokai Ye, Jessy Lauer, Mu Zhou, Alexander Mathis, Mackenzie W. Mathis

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Rethinking pose estimation in crowds: overcoming the detection information bottleneck and ambiguity.

Mu Zhou, Lucas Stoffl, Mackenzie Weygandt Mathis, Alexander Mathis

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Learnable latent embeddings for joint behavioral and neural analysis.

Steffen Schneider, Jin Hwa Lee, Mackenzie Weygandt Mathis

CoRR, 2022

Panoptic animal pose estimators are zero-shot performers.

Shaokai Ye, Alexander Mathis, Mackenzie Weygandt Mathis

CoRR, 2022

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, Martin Wikelski, Iain D. Couzin, Grant Van Horn, Margaret C. Crofoot, Charles V. Stewart, Tanya Y. Berger-Wolf

CoRR, 2021

Measuring and modeling the motor system with machine learning.

Sébastien B. Hausmann, Alessandro Marin Vargas, Alexander Mathis, Mackenzie W. Mathis

CoRR, 2021

Pretraining boosts out-of-domain robustness for pose estimation.

Alexander Mathis, Thomas Biasi, Steffen Schneider, Mert Yüksekgönül, Byron Rogers, Matthias Bethge, Mackenzie W. Mathis

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

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

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and Perspectives.

Alexander Mathis, Steffen Schneider, Jessy Lauer, Mackenzie W. Mathis

CoRR, 2020

2019

Deep learning tools for the measurement of animal behavior in neuroscience.

Mackenzie W. Mathis, Alexander Mathis

CoRR, 2019

Pretraining boosts out-of-domain robustness for pose estimation.

Alexander Mathis, Mert Yüksekgönül, Byron Rogers, Matthias Bethge, Mackenzie W. Mathis

CoRR, 2019

2018

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