Alexander Mathis

39 papers A* 8A 1Journal 27Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AdaptToken: Entropy-based Adaptive Token Selection for MLLM Long Video Understanding. CoRR Haozhe Qi, Kevin Qu, Mahdi Rad, Rui Wang, Alexander Mathis, Marc Pollefeys
2026	J	`jnl`	Towards Embodied AI with MuscleMimic: Unlocking full-body musculoskeletal motor learning at scale. CoRR Chengkun Li, Cheryl Wang, Bianca Ziliotto, Merkourios Simos, József Kövecses, Guillaume Durandau, Alexander Mathis
2025	J	`jnl`	Arnold: a generalist muscle transformer policy. CoRR Alberto Silvio Chiappa, Boshi An, Merkourios Simos, Chengkun Li, Alexander Mathis
2025	J	`jnl`	EPFL-Smart-Kitchen-30: Densely annotated cooking dataset with 3D kinematics to challenge video and language models. CoRR Andy Bonnetto, Haozhe Qi, Franklin Leong, Matea Tashkovska, Mahdi Rad, Solaiman Shokur, Friedhelm Hummel, Silvestro Micera, Marc Pollefeys, Alexander Mathis
2025	J	`jnl`	LLaVAction: evaluating and training multi-modal large language models for action recognition. CoRR Shaokai Ye, Haozhe Qi, Alexander Mathis, Mackenzie W. Mathis
2025	A*	`conf`	MammAlps: A Multi-view Video Behavior Monitoring Dataset of Wild Mammals in the Swiss Alps. CVPR Valentin Gabeff, Haozhe Qi, Brendan Flaherty, Gencer Sumbul, Alexander Mathis, Devis Tuia
2025	J	`jnl`	MammAlps: A multi-view video behavior monitoring dataset of wild mammals in the Swiss Alps. CoRR Valentin Gabeff, Haozhe Qi, Brendan Flaherty, Gencer Sümbül, Alexander Mathis, Devis Tuia
2025	—	`conf`	PICLe: Pseudo-annotations for In-Context Learning in Low-Resource Named Entity Detection. NAACL (Long Papers) Sepideh Mamooler, Syrielle Montariol, Alexander Mathis, Antoine Bosselut
2025	J	`jnl`	Reinforcement learning-based motion imitation for physiologically plausible musculoskeletal motor control. CoRR Merkourios Simos, Alberto Silvio Chiappa, Alexander Mathis
2024	J	`jnl`	Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants. CoRR 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, Gail Weiss, Sepideh Mamooler, Zeming Chen, Simin Fan, Silin Gao, Mete Ismayilzada, Debjit Paul, Alexandre Schöpfer, Andrej Janchevski, Anja Tiede, Clarence Linden, Emanuele Troiani, Francesco Salvi, Freya Behrens, Giacomo Orsi, Giovanni Piccioli, Hadrien Sevel, Louis Coulon, Manuela Pineros-Rodriguez, Marin Bonnassies, Pierre Hellich, Puck van Gerwen, Sankalp Gambhir, Solal Pirelli, Thomas Blanchard, Timothée Callens, Toni Abi Aoun, Yannick Calvino Alonso, Yuri Cho, Alberto Silvio Chiappa, Antonio Sclocchi, Étienne Bruno, Florian Hofhammer, Gabriel Pescia, Geovani Rizk, Leello Dadi, Lucas Stoffl, Manoel Horta Ribeiro, Matthieu Bovel, Yueyang Pan, Aleksandra Radenovic, Alexandre Alahi, Alexander Mathis, Anne-Florence Bitbol, Boi Faltings, Cécile Hébert, Devis Tuia, François Maréchal, George Candea, Giuseppe Carleo, Jean-Cédric Chappelier, Nicolas Flammarion, Jean-Marie Fürbringer, Jean-Philippe Pellet, Karl Aberer, Lenka Zdeborová, Marcel Salathé, Martin Jaggi, Martin Rajman, Mathias Payer, Matthieu Wyart, Michael Gastpar, Michele Ceriotti, Ola Svensson, Olivier Lévêque, Paolo Ienne, Rachid Guerraoui, Robert West, Sanidhya Kashyap, Valerio Piazza, Viesturs Simanis, Viktor Kuncak, Volkan Cevher, Philippe Schwaller, Sacha Friedli, Patrick Jermann, Tanja Käser, Antoine Bosselut
2024	—	`conf`	Elucidating the Hierarchical Nature of Behavior with Masked Autoencoders. ECCV (64) Lucas Stoffl, Andy Bonnetto, Stéphane d'Ascoli, Alexander Mathis
2024	A*	`conf`	HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields. CVPR Haozhe Qi, Chen Zhao, Mathieu Salzmann, Alexander Mathis
2024	J	`jnl`	HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields. CoRR Haozhe Qi, Chen Zhao, Mathieu Salzmann, Alexander Mathis
2024	A*	`conf`	ODEFormer: Symbolic Regression of Dynamical Systems with Transformers. ICLR Stéphane d'Ascoli, Sören Becker, Philippe Schwaller, Alexander Mathis, Niki Kilbertus
2024	J	`jnl`	PICLe: Pseudo-Annotations for In-Context Learning in Low-Resource Named Entity Detection. CoRR Sepideh Mamooler, Syrielle Montariol, Alexander Mathis, Antoine Bosselut
2024	J	`jnl`	WildCLIP: Scene and Animal Attribute Retrieval from Camera Trap Data with Domain-Adapted Vision-Language Models. Int. J. Comput. Vis. Valentin Gabeff, Marc Rußwurm, Devis Tuia, Alexander Mathis
2023	A*	`conf`	AmadeusGPT: a natural language interface for interactive animal behavioral analysis. NeurIPS Shaokai Ye, Jessy Lauer, Mu Zhou, Alexander Mathis, Mackenzie W. Mathis
2023	J	`jnl`	AmadeusGPT: a natural language interface for interactive animal behavioral analysis. CoRR Shaokai Ye, Jessy Lauer, Mu Zhou, Alexander Mathis, Mackenzie W. Mathis
2023	J	`jnl`	Latent Exploration for Reinforcement Learning. CoRR Alberto Silvio Chiappa, Alessandro Marin Vargas, Ann Zixiang Huang, Alexander Mathis
2023	A*	`conf`	Latent exploration for Reinforcement Learning. NeurIPS Alberto Silvio Chiappa, Alessandro Marin Vargas, Ann Zixiang Huang, Alexander Mathis
2023	J	`jnl`	ODEFormer: Symbolic Regression of Dynamical Systems with Transformers. CoRR Stéphane d'Ascoli, Sören Becker, Alexander Mathis, Philippe Schwaller, Niki Kilbertus
2023	A*	`conf`	Rethinking pose estimation in crowds: overcoming the detection information bottleneck and ambiguity. ICCV Mu Zhou, Lucas Stoffl, Mackenzie Weygandt Mathis, Alexander Mathis
2023	J	`jnl`	Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity. CoRR Mu Zhou, Lucas Stoffl, Mackenzie W. Mathis, Alexander Mathis
2022	J	`jnl`	DMAP: a Distributed Morphological Attention Policy for Learning to Locomote with a Changing Body. CoRR Alberto Silvio Chiappa, Alessandro Marin Vargas, Alexander Mathis
2022	A*	`conf`	DMAP: a Distributed Morphological Attention Policy for learning to locomote with a changing body. NeurIPS Alberto Silvio Chiappa, Alessandro Marin Vargas, Alexander Mathis
2022	J	`jnl`	Panoptic animal pose estimators are zero-shot performers. CoRR Shaokai Ye, Alexander Mathis, Mackenzie Weygandt Mathis
2021	A*	`conf`	AcinoSet: A 3D Pose Estimation Dataset and Baseline Models for Cheetahs in the Wild. ICRA Daniel Joska, Liam Clark, Naoya Muramatsu, Ricardo Jericevich, Fred Nicolls, Alexander Mathis, Mackenzie W. Mathis, Amir Patel
2021	J	`jnl`	AcinoSet: A 3D Pose Estimation Dataset and Baseline Models for Cheetahs in the Wild. CoRR Daniel Joska, Liam Clark, Naoya Muramatsu, Ricardo Jericevich, Fred Nicolls, Alexander Mathis, Mackenzie W. Mathis, Amir Patel
2021	J	`jnl`	End-to-End Trainable Multi-Instance Pose Estimation with Transformers. CoRR Lucas Stoffl, Maxime Vidal, Alexander Mathis
2021	J	`jnl`	Measuring and modeling the motor system with machine learning. CoRR Sébastien B. Hausmann, Alessandro Marin Vargas, Alexander Mathis, Mackenzie W. Mathis
2021	—	`conf`	MyoChallenge 2022: Learning contact-rich manipulation using a musculoskeletal hand. NeurIPS (Competition and Demos) Vittorio Caggiano, Guillaume Durandau, Huawei Wang, Alberto Silvio Chiappa, Alexander Mathis, Pablo Tano, Nisheet Patel, Alexandre Pouget, Pierre Schumacher, Georg Martius, Daniel F. B. Haeufle, Yiran Geng, Boshi An, Yifan Zhong, Jiaming Ji, Yuanpei Chen, Hao Dong, Yaodong Yang, Rahul Siripurapu, Luis Eduardo Ferro Diez, Michael Kopp, Vihang Patil, Sepp Hochreiter, Yuval Tassa, Josh Merel, Randy Schultheis, Seungmoon Song, Massimo Sartori, Vikash Kumar
2021	J	`jnl`	Perspectives on individual animal identification from biology and computer vision. CoRR Maxime Vidal, Nathan Wolf, Beth Rosenberg, Bradley P. Harris, Alexander Mathis
2021	A	`conf`	Pretraining boosts out-of-domain robustness for pose estimation. WACV Alexander Mathis, Thomas Biasi, Steffen Schneider, Mert Yüksekgönül, Byron Rogers, Matthias Bethge, Mackenzie W. Mathis
2021	J	`jnl`	Seeing biodiversity: perspectives in machine learning for wildlife conservation. CoRR 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
2020	J	`jnl`	A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and Perspectives. CoRR Alexander Mathis, Steffen Schneider, Jessy Lauer, Mackenzie W. Mathis
2019	J	`jnl`	Deep learning tools for the measurement of animal behavior in neuroscience. CoRR Mackenzie W. Mathis, Alexander Mathis
2019	J	`jnl`	Pretraining boosts out-of-domain robustness for pose estimation. CoRR Alexander Mathis, Mert Yüksekgönül, Byron Rogers, Matthias Bethge, Mackenzie W. Mathis
2018	J	`jnl`	Markerless tracking of user-defined features with deep learning. CoRR Alexander Mathis, Pranav Mamidanna, Taiga Abe, Kevin M. Cury, Venkatesh N. Murthy, Mackenzie W. Mathis, Matthias Bethge
2012	J	`jnl`	Optimal Population Codes for Space: Grid Cells Outperform Place Cells. Neural Comput. Alexander Mathis, Andreas V. M. Herz, Martin Stemmler