Optimal Population Codes for Space: Grid Cells Outperform Place Cells. - Alexander Mathis; Andreas V. M. Herz; Martin Stemmler (Neural Comput., 2012)

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)

MyoChallenge 2022: Learning contact-rich manipulation using a musculoskeletal hand. - Vittorio Caggiano; Guillaume Durandau; Huawei Wang 003; Alberto Silvio Chiappa; Alexander Mathis; Pablo Tano; Nisheet Patel; Alexandre Pouget; Pierre Schumacher; Georg Martius; Daniel F. B. Haeufle; Yiran Geng; et al. (NeurIPS (Competition and Demos), 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)

Perspectives on individual animal identification from biology and computer vision. - Maxime Vidal; Nathan Wolf; Beth Rosenberg; Bradley P. Harris; Alexander Mathis (CoRR, 2021)

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

End-to-End Trainable Multi-Instance Pose Estimation with Transformers. - Lucas Stoffl; Maxime Vidal; Alexander 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)

DMAP: a Distributed Morphological Attention Policy for learning to locomote with a changing body. - Alberto Silvio Chiappa; Alessandro Marin Vargas; Alexander Mathis (NeurIPS, 2022)

Panoptic animal pose estimators are zero-shot performers. - Shaokai Ye; Alexander Mathis; 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)

Latent exploration for Reinforcement Learning. - Alberto Silvio Chiappa; Alessandro Marin Vargas; Ann Zixiang Huang; Alexander Mathis (NeurIPS, 2023)

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

HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields. - Haozhe Qi; Chen Zhao; Mathieu Salzmann; Alexander Mathis (CVPR, 2024)

Elucidating the Hierarchical Nature of Behavior with Masked Autoencoders. - Lucas Stoffl; Andy Bonnetto; Stéphane d'Ascoli; Alexander Mathis (ECCV (64), 2024)

ODEFormer: Symbolic Regression of Dynamical Systems with Transformers. - Stéphane d'Ascoli; Sören Becker; Philippe Schwaller; Alexander Mathis; Niki Kilbertus (ICLR, 2024)

Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants. - Beatriz Borges; Negar Foroutan; Deniz Bayazit; Anna Sotnikova; Syrielle Montariol; Tanya Nazaretzky; Mohammadreza Banaei; Alireza Sakhaeirad; Philippe Servant; Seyed Parsa Neshaei; Jibril Frej; Angelika Romanou; et al. (CoRR, 2024)

WildCLIP: Scene and animal attribute retrieval from camera trap data with domain-adapted vision-language models. - Valentin Gabeff; Marc Rußwurm; Devis Tuia; Alexander Mathis (Zenodo, 2024)

WildCLIP: Scene and animal attribute retrieval from camera trap data with domain-adapted vision-language models. - Valentin Gabeff; Marc Rußwurm; Devis Tuia; Alexander Mathis (Zenodo, 2024)

HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields: Processed data and trained models. - Haozhe Qi; Chen Zhao; Mathieu Salzmann; Alexander Mathis (Zenodo, 2024)

HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields: Synthetic data. - Haozhe Qi; Chen Zhao; Mathieu Salzmann; Alexander Mathis (Zenodo, 2024)

HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields: Synthetic data. - Haozhe Qi; Chen Zhao; Mathieu Salzmann; Alexander Mathis (Zenodo, 2024)

WildCLIP: Scene and Animal Attribute Retrieval from Camera Trap Data with Domain-Adapted Vision-Language Models. - Valentin Gabeff; Marc Rußwurm; Devis Tuia; Alexander Mathis (Int. J. Comput. Vis., 2024)

HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields: Processed data and trained models. - Haozhe Qi; Chen Zhao; Mathieu Salzmann; Alexander Mathis (Zenodo, 2024)

MammAlps: A Multi-view Video Behavior Monitoring Dataset of Wild Mammals in the Swiss Alps. - Valentin Gabeff; Haozhe Qi; Brendan Flaherty; Gencer Sumbul; Alexander Mathis; Devis Tuia (CVPR, 2025)

PICLe: Pseudo-annotations for In-Context Learning in Low-Resource Named Entity Detection. - Sepideh Mamooler; Syrielle Montariol; Alexander Mathis; Antoine Bosselut (NAACL (Long Papers), 2025)

Reinforcement learning-based motion imitation for physiologically plausible musculoskeletal motor control. - Merkourios Simos; Alberto Silvio Chiappa; Alexander Mathis (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)

EPFL-Smart-Kitchen-30: Densely annotated cooking dataset with 3D kinematics to challenge video and language models. - Andy Bonnetto; Haozhe Qi; Franklin Leong; Matea Tashkovska; Mahdi Rad; Solaiman Shokur; Friedhelm Hummel; Silvestro Micera; Marc Pollefeys; Alexander Mathis (CoRR, 2025)