Fleuret, François

Multiple Object Tracking Using K-Shortest Paths Optimization

Berclaz, J., Fleuret, F., Turetken, E., & Fua, P. (2011) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Video Surveillance and Tracking MethodsTarget Tracking and Data Fusion in Sensor Networks

Cited by 1,015

Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention

Katharopoulos, A., Vyas, A., Pappas, N., & Fleuret, F. (2020) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 827

Transformers are Sample Efficient World Models

Micheli, V., Alonso, E., & Fleuret, F. (2022) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 25

MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned

Kanervisto, A., Milani, S., Ramanauskas, K., Topin, N., Lin, Z., Li, J., Shi, J., Ye, D., Fu, Q., Yang, W., et al. (2022) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 6

CWM: An Open-Weights LLM for Research on Code Generation with World Models

FAIR CodeGen team, Copet, J., Carbonneaux, Q., Cohen, G., Gehring, J., Kahn, J., Kossen, J., Kreuk, F., McMilin, E., Meyer, M., et al. (2025) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 0