Publications

Find here some of the latest EPFL research papers and conference papers on the various fields related to intelligent systems. 

Please note that (1) these lists show the five latest publications in each category, and that (2) neither the categories nor the lists are exhaustive. For more articles, please visit the portal EPFL InfoScience or contact our team at [email protected] 

Artificial Intelligence 

Visual question answering from another perspective: CLEVR mental rotation tests *

C. Beckham; M. Weiss; F. Golemo; S. Honari; D. Nowrouzezahrai et al. 

Pattern Recognition. 2023-04-01. Vol. 136, p. 109209. DOI : 10.1016/j.patcog.2022.109209.

Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design

V. Swamy; S. Du; M. Marras; T. Käser 

2023-03-13. LAK 2023: The 13th International Learning Analytics and Knowledge Conference, Arlington, Texas, USA, March 13-17, 2023. DOI : 10.1145/3576050.3576147.

End-to-end kernel learning via generative random Fourier features

K. Fang; F. Liu; X. Huang; J. Yang 

Pattern Recognition. 2023-02-01. Vol. 134, p. 109057. DOI : 10.1016/j.patcog.2022.109057.

Multi-agent actor-critic with time dynamical opponent model

Y. Tian; K. -R. Kladny; Q. Wang; Z. Huang; O. Fink 

Neurocomputing. 2023-01-14. Vol. 517, p. 165-172. DOI : 10.1016/j.neucom.2022.10.045.

Sparse Autoencoders for Speech Modeling and Recognition

S. H. Kabil / H. Bourlard (Dir.)  

Lausanne, EPFL, 2023. 

Computer Vision

Visual question answering from another perspective: CLEVR mental rotation tests *

C. Beckham; M. Weiss; F. Golemo; S. Honari; D. Nowrouzezahrai et al. 

Pattern Recognition. 2023-04-01. Vol. 136, p. 109209. DOI : 10.1016/j.patcog.2022.109209.

Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors

T. Riedlinger; M. Rottmann; M. Schubert; H. Gottschalk 

2023. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, Hawaii, USA, January 3-7, 2023.

Automated Detection of Label Errors in Semantic Segmentation Datasets via Deep Learning and Uncertainty Quantification

M. Rottmann; M. Reese 

2023. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, Hawaii, USA, January 3-7, 2023.

Composite Relationship Fields with Transformers for Scene Graph Generation

G. Adaimi; D. Mizrahi; A. Alahi 

2023. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2023), Waikoloa, Hawaii, United States, January 3-7, 2023.

Multi-view Tracking Using Weakly Supervised Human Motion Prediction

M. Engilberge; W. Liu; P. Fua 

2023. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2023), Waikoloa, Hawaii, USA, January 3-7, 2023.

Digital Twin

A comprehensive review of digital twin-part 2: roles of uncertainty quantification and optimization, a battery digital twin, and perspectives

A. Thelen; X. Zhang; O. Fink; Y. Lu; S. Ghosh et al. 

Structural And Multidisciplinary Optimization. 2023-01-01. Vol. 66, num. 1, p. 1. DOI : 10.1007/s00158-022-03410-x.

A comprehensive review of digital twin – part 1: modeling and twinning enabling technologies

A. Thelen; X. Zhang; O. Fink; Y. Lu; S. Ghosh et al. 

Structural And Multidisciplinary Optimization. 2022-12-01. Vol. 65, num. 12, p. 354. DOI : 10.1007/s00158-022-03425-4.

A semantic-driven tradespace framework to accelerate aircraft manufacturing system design

X. Zheng; X. Hu; R. Arista; J. Lu; J. Sorvari et al. 

Journal Of Intelligent Manufacturing. 2022-10-25. DOI : 10.1007/s10845-022-02043-7.

Image-based geometric digital twinning for stone masonry elements

B. Pantoja-Rosero; S. Saloustros; R. Achanta; K. Beyer 

Automation in Construction. 2022-10-19. Vol. 145, p. 104632. DOI : 10.1016/j.autcon.2022.104632.

Ontology-centric industrial requirements validation for aircraft assembly system design

X. Hu; R. Arista; J. Lentes; J. Lu; X. Zheng et al. 

2022-10-01. 10th IFAC Triennial Conference on Manufacturing Modelling, Management and Control (MIM), Nantes, FRANCE, Jun 22-24, 2022. p. 3016-3021. DOI : 10.1016/j.ifacol.2022.10.191.

Intelligent Systems

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Electro-Adhesive Tubular Clutch for Variable-Stiffness Robots

Y. Sun; K. M. Digumarti; H. V. Phan; O. Aloui; D. Floreano 

2022-12-26. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Tokyo, Japan, October 23-27, 2022. p. 9628-9634. DOI : 10.1109/IROS47612.2022.9982098.
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Robotic Avian Wing Explains Aerodynamic Advantages of Wing Folding and Stroke Tilting in Flapping Flight

E. Ajanic; A. Paolini; C. Coster; D. Floreano; C. Johansson 

Advanced Intelligent Systems. 2022-12-23. DOI : 10.1002/aisy.202200148.

Identifying and Classifying Urban Data Sources for Machine Learning-Based Sustainable Urban Planning and Decision Support Systems Development

S. C. K. Tekouabou; J. Chenal; R. Azmi; H. Toulni; E. B. Diop et al. 

Data. 2022-12-01. Vol. 7, num. 12, p. 170. DOI : 10.3390/data7120170.

Improving Students Argumentation Learning with Adaptive Self-Evaluation Nudging

T. Wambsganss; A. Janson; T. Käser; J. M. Leimeister 

Proceedings of the ACM on Human-Computer Interaction. 2022-11-11. Vol. 6, num. CSCW2, p. 1-31. DOI : 10.1145/3555633.

Optimizing Two-Truck Platooning With Deadlines

W. Xu; T. Cui; M. Chen 

Ieee Transactions On Intelligent Transportation Systems. 2022-11-09. DOI : 10.1109/TTS.2022.3213549.

Machine Learning

Predicting and optimizing syngas production from fluidized bed biomass gasifiers: A machine learning approach

J. Y. Kim; D. Kim; Z. Li; C. Dariva; Y. Cao et al. 

Energy. 2023-01-15. Vol. 263, p. 125900. DOI : 10.1016/j.energy.2022.125900.

A low-temperature prismatic slip instability in Mg understood using machine learning potentials

X. Liu; M. R. Niazi; T. Liu; B. Yin; W. A. Curtin 

Acta Materialia. 2023-01-15. Vol. 243, p. 118490. DOI : 10.1016/j.actamat.2022.118490.

Deep Learning for Localized-Haptic Feedback in Tactile Surfaces

C. Hernandez Mejia / Y. Perriard (Dir.)  

Lausanne, EPFL, 2023. 

A comprehensive review of digital twin-part 2: roles of uncertainty quantification and optimization, a battery digital twin, and perspectives

A. Thelen; X. Zhang; O. Fink; Y. Lu; S. Ghosh et al. 

Structural And Multidisciplinary Optimization. 2023-01-01. Vol. 66, num. 1, p. 1. DOI : 10.1007/s00158-022-03410-x.

Productivity gains from migration: Evidence from inventors

G. Pellegrino; O. Penner; E. Piguet; G. de Rassenfosse 

Research Policy. 2023-01-01. Vol. 52, num. 1, p. 104631. DOI : 10.1016/j.respol.2022.104631.

Robotics

Dissecting the photoacidity of spiropyran/merocyanine molecular switches in water.

C. Berton / K. Severin; C. Pezzato (Dir.)  

Lausanne, EPFL, 2023. 

The Robotic Multiobject Focal Plane System of the Dark Energy Spectroscopic Instrument (DESI)

J. H. Silber; P. Fagrelius; K. Fanning; M. Schubnell; J. N. Aguilar et al. 

Astronomical Journal. 2023-01-01. Vol. 165, num. 1, p. 9. DOI : 10.3847/1538-3881/ac9ab1.

The effects of kinematics, flexibility, and planform on the vortex formation and aerodynamic performance of flapping wing flight

A. Gehrke / K. A. J. Mulleners (Dir.)  

Lausanne, EPFL, 2023. 
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Electro-Adhesive Tubular Clutch for Variable-Stiffness Robots

Y. Sun; K. M. Digumarti; H. V. Phan; O. Aloui; D. Floreano 

2022-12-26. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Tokyo, Japan, October 23-27, 2022. p. 9628-9634. DOI : 10.1109/IROS47612.2022.9982098.

Deconstructing body axis morphogenesis in zebrafish embryos using robot-assisted tissue micromanipulation

E. Özelçi; E. Mailand; M. Rüegg; A. C. Oates; S. Sakar 

Nature Communications. 2022-12-24. Vol. 13, p. 7934. DOI : 10.1038/s41467-022-35632-4.