Alexander Mathis

About Alexander Mathis

Alexander Mathis, With an exceptional h-index of 23 and a recent h-index of 22 (since 2020), a distinguished researcher at École Polytechnique Fédérale de Lausanne, specializes in the field of Behavior, Computational Neuroscience, Machine Learning, Computer Vision, Sensorimotor control.

His recent articles reflect a diverse array of research interests and contributions to the field:

HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields

Task-driven neural network models predict neural dynamics of proprioception

Acquiring musculoskeletal skills with curriculum-based reinforcement learning

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

Contrasting action and posture coding with hierarchical deep neural network models of proprioception

Keypoint-MoSeq: parsing behavior by linking point tracking to pose dynamics

NeuroAI: If grid cells are the answer, is path integration the question?

WildCLIP: Scene and animal attribute retrieval from camera trap data with domain-adapted vision-language models

Alexander Mathis Information

University

Position

(Ecole Polytechnique Fédérale de Lausanne / Swiss Federal Institute of Technology)

Citations(all)

6444

Citations(since 2020)

6079

Cited By

1747

hIndex(all)

23

hIndex(since 2020)

22

i10Index(all)

27

i10Index(since 2020)

25

Email

University Profile Page

Google Scholar

Alexander Mathis Skills & Research Interests

Behavior

Computational Neuroscience

Machine Learning

Computer Vision

Sensorimotor control

Top articles of Alexander Mathis

HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields

arXiv preprint arXiv:2402.17062

2024/2/26

Task-driven neural network models predict neural dynamics of proprioception

Cell

2024/3/28

Alessandro Marin Vargas
Alessandro Marin Vargas

H-Index: 1

Alexander Mathis
Alexander Mathis

H-Index: 14

Acquiring musculoskeletal skills with curriculum-based reinforcement learning

bioRxiv

2024

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

IEEE/CVF International Conference on Computer Vision (ICCV)

2023/9/25

Mu Zhou
Mu Zhou

H-Index: 17

Alexander Mathis
Alexander Mathis

H-Index: 14

Contrasting action and posture coding with hierarchical deep neural network models of proprioception

Elife

2023/5/31

Claudio Michaelis
Claudio Michaelis

H-Index: 7

Alexander Mathis
Alexander Mathis

H-Index: 14

Keypoint-MoSeq: parsing behavior by linking point tracking to pose dynamics

BioRxiv

2023/3/17

NeuroAI: If grid cells are the answer, is path integration the question?

Current Biology

2023/3/13

Markus Frey
Markus Frey

H-Index: 5

Alexander Mathis
Alexander Mathis

H-Index: 14

WildCLIP: Scene and animal attribute retrieval from camera trap data with domain-adapted vision-language models

International Journal of Computer Vision (in press) & bioRxiv

2023

Devis Tuia
Devis Tuia

H-Index: 47

Alexander Mathis
Alexander Mathis

H-Index: 14

AmadeusGPT: a natural language interface for interactive animal behavioral analysis

Neurips 2023

2023/7/10

Latent exploration for reinforcement learning

Advances in Neural Information Processing Systems

2023

Alessandro Marin Vargas
Alessandro Marin Vargas

H-Index: 1

Alexander Mathis
Alexander Mathis

H-Index: 14

ODEFormer: Symbolic Regression of Dynamical Systems with Transformers

arXiv preprint arXiv:2310.05573

2023/10/9

Scene and animal attributes retrieval from camera trap data with domain-adapted language-vision models

2023/6/14

Devis Tuia
Devis Tuia

H-Index: 47

Alexander Mathis
Alexander Mathis

H-Index: 14

DMAP: a Distributed Morphological Attention Policy for learning to locomote with a changing body

Advances in Neural Information Processing Systems

2022/12/6

Alessandro Marin Vargas
Alessandro Marin Vargas

H-Index: 1

Alexander Mathis
Alexander Mathis

H-Index: 14

Striatal dopamine explains novelty-induced behavioral dynamics and individual variability in threat prediction

Neuron

2022/11/16

SuperAnimal models pretrained for plug-and-play analysis of animal behavior

arXiv preprint arXiv:2203.07436

2022/3/14

Acinoset: A 3d pose estimation dataset and baseline models for cheetahs in the wild

2021/5/30

Out-of-distribution generalization of internal models is correlated with reward

2021/5/7

See List of Professors in Alexander Mathis University(École Polytechnique Fédérale de Lausanne)

Co-Authors

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