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
Continuous-variable neural network quantum states and the quantum rotor model
J. Stokes; S. De; S. Veerapaneni; G. Carleo
Quantum Machine Intelligence. 2023-06-01. Vol. 5, num. 1, p. 12. DOI : 10.1007/s42484-023-00100-9. Stereo Confidence Estimation via Locally Adaptive Fusion and Knowledge Distillation
S. Kim; S. Kim; D. Min; P. Frossard; K. Sohn
Ieee Transactions On Pattern Analysis And Machine Intelligence. 2023-05-01. Vol. 45, num. 5, p. 6372-6385. DOI : 10.1109/TPAMI.2022.3207286. Don’t pause giant AI for the wrong reasons
M. Ienca
Nature Machine Intelligence. 2023-04-17. DOI : 10.1038/s42256-023-00649-x.
Computer Vision
Perspective Aware Road Obstacle Detection
K. Lis; S. Honari; P. Fua; M. Salzmann
Ieee Robotics And Automation Letters. 2023-04-01. Vol. 8, num. 4, p. 2150-2157. DOI : 10.1109/LRA.2023.3245410. Computer-Assisted Diagnosis of Lymph Node Metastases in Colorectal Cancers Using Transfer Learning With an Ensemble Model
A. Khan; N. Brouwer; A. Blank; F. Mueller; D. Soldini et al.
Modern Pathology. 2023-02-17. Vol. 36, num. 5, p. 100118. DOI : 10.1016/j.modpat.2023.100118. Visual extensions and anomaly detection in the pNEUMA experiment with a swarm of drones
S. Kim; G. Anagnostopoulos; E. Barmpounakis; N. Geroliminis
Transportation Research Part C-Emerging Technologies. 2023-02-01. Vol. 147, p. 103966. DOI : 10.1016/j.trc.2022.103966. Toward data-driven materials design: From atoms to pilot plants
K. M. Jablonka / B. Smit (Dir.)
Lausanne, EPFL, 2023.
Digital Twin
A comprehensive and biophysically detailed computational model of the whole human heart electromechanics
M. Fedele; R. Piersanti; F. Regazzoni; M. Salvador; P. C. Africa et al.
Computer Methods In Applied Mechanics And Engineering. 2023-03-21. Vol. 410, p. 115983. DOI : 10.1016/j.cma.2023.115983. Fast and robust parameter estimation with uncertainty quantification for the cardiac function
M. Salvador; F. Regazzoni; L. Dede; A. Quarteroni
Computer Methods And Programs In Biomedicine. 2023-02-09. Vol. 231, p. 107402. DOI : 10.1016/j.cmpb.2023.107402. Governance framework for autonomous and cognitive digital twins in agile supply chains
K. Kalaboukas; D. Kiritsis; G. Arampatzis
Computers In Industry. 2023-01-17. Vol. 146, p. 103857. DOI : 10.1016/j.compind.2023.103857. In situ monitoring of femtosecond laser-induced modifications in dielectrics
O. Bernard / Y. Bellouard (Dir.)
Lausanne, EPFL, 2023. Automated post-earthquake damage assessment of stone masonry buildings integrating machine learning, computer vision, and physics-based modeling
B. G. Pantoja Rosero / K. Beyer; R. Achanta (Dir.)
Lausanne, EPFL, 2023.
Intelligent Systems
Filter-Informed Spectral Graph Wavelet Networks for Multiscale Feature Extraction and Intelligent Fault Diagnosis
T. Li; C. Sun; O. Fink; Y. Yang; X. Chen et al.
Ieee Transactions On Cybernetics. 2023-03-23. DOI : 10.1109/TCYB.2023.3256080. Ride the Tide of Traffic Conditions: Opportunistic Driving Improves Energy Efficiency of Timely Truck Transportation
W. Xu; Q. Liu; M. Chen; H. Zeng
Ieee Transactions On Intelligent Transportation Systems. 2023-02-22. DOI : 10.1109/TITS.2023.3244757. Safety-Compliant Generative Adversarial Networks for Human Trajectory Forecasting
P. A. Kothari; A. Alahi
IEEE Transactions on Intelligent Transportation Systems. 2023-01-18. p. 1-11. DOI : 10.1109/TITS.2022.3233906.
Machine Learning
Towards Stable and Efficient Adversarial Training against $l_1$ Bounded Adversarial Attacks
Y. Jiang; C. Liu; Z. Huang; M. Salzmann; S. Süsstrunk
2023-06-01. 40th International Conference on Machine Learning (ICML 2023), Honolulu, Hawaii, USA, July 23-29, 2023. Combining Weather Station Data and Short-Term LiDAR Deployment to Estimate Wind Energy Potential with Machine Learning: A Case Study from the Swiss Alps
F. Kristianti; J. Dujardin; F. Gerber; H. Huwald; Hoch W. Sebastian et al.
Boundary Layer Meteorology. 2023-05-11. Vol. 188, num. 1, p. 185-208. DOI : 10.1007/s10546-023-00808-y.
Robotics
Heading for the Abyss: Control Strategies for Exploiting Swinging of a Descending Tethered Aerial Robot
M. Polzin; F. Centamori; J. Hughes
2023-06-02. 2023 IEEE International Conference on Robotics and Automation (ICRA), London, UK, May 29 – June 2, 2023. Self-Correcting Quadratic Programming-Based Robot Control
F. Khadivar; K. Chatzilygeroudis; A. Billard
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 2023-04-14. p. 1-12. DOI : 10.1109/TSMC.2023.3262954.