Publications

2025

1. 

   Masked Generative Priors Improve World Models Sequence Modelling Capabilities

   Cristian Meo, Mircea Lica, Zarif Ikram, and 6 more authors

   ICLR 2025 workshop on World Models: Understanding, Modelling, and Scaling., 2025

   Outstanding Paper Award Bib HTML

   true

   @article{meo2025git-storm,
     title = {Masked Generative Priors Improve World Models Sequence Modelling Capabilities},
     author = {Meo, Cristian and Lica, Mircea and Ikram, Zarif and Nakano, Akihiro and Shah, Vedant and Didolkar, Aniket and Liu, Dianbo and Goyal, Anirudh and Dauwels, Justin},
     journal = {ICLR 2025 workshop on World Models: Understanding, Modelling, and Scaling.},
     year = {2025}
   }

2024

1. 

   AlphaTC-VAE: On the Relationship Between Disentanglement and Diversity

   Cristian Meo, Louis Mahon, Anirudh Goyal, and 1 more author

   The Twelfth International Conference on Learning Representations (ICLR2024), 2024

   Bib HTML

   @article{meo2024alphatcvae,
     title = {AlphaTC-VAE: On the Relationship Between Disentanglement and Diversity},
     author = {Meo, Cristian and Mahon, Louis and Goyal, Anirudh and Dauwels, Justin},
     journal = {The Twelfth International Conference on Learning Representations (ICLR2024)},
     year = {2024},
   }

2. 

   Extreme Precipitation Nowcasting using Transformer-based Generative Models

   Cristian Meo, Ankush Roy, Mircea Lica, and 6 more authors

   ICLR 2024 workshop on Tackling Climate Change with Machine Learning, 2024

   Spotlight Bib HTML

   true

   @article{meo2024extreme,
     title = {Extreme Precipitation Nowcasting using Transformer-based Generative Models},
     author = {Meo, Cristian and Roy, Ankush and Lica, Mircea and Yin, Junzhe and Che, Zeineb Bou and Wang, Yanbo and Imhoff, Ruben and Uijlenhoet, Remko and Dauwels, Justin},
     journal = {ICLR 2024 workshop on Tackling Climate Change with Machine Learning},
     year = {2024}
   }

3. 

   Object-Centric Temporal Consistency via Conditional Autoregressive Inductive Biases

   Cristian Meo, Akihiro Nakano, Aniket Didolkar, and 6 more authors

   NeurIPS 2024 Workshop on Compositional Learning: Perspectives, Methods, and Paths Forward., 2024

   Bib HTML

   @article{meo2024casa,
     title = {Object-Centric Temporal Consistency via Conditional Autoregressive Inductive Biases},
     author = {Meo, Cristian and Nakano, Akihiro and Didolkar, Aniket and Suzuki, Masahiro and Goyal, Anirudh and Zhang, Mengmi and Dauwels, Justin and Matsuo, Yutaka and Bengio, Yoshua},
     journal = {NeurIPS 2024 Workshop on Compositional Learning: Perspectives, Methods, and Paths Forward.},
     year = {2024}
   }

2023

1. 

   Stateful active facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning

   Dianbo Liu, Vedant Shah, Oussama Boussif, and 6 more authors

   The Eleventh International Conference on Learning Representations (ICLR2023), 2023

   Bib HTML

   @article{liu2022stateful,
     title = {Stateful active facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning},
     author = {Liu, Dianbo and Shah, Vedant and Boussif, Oussama and Meo, Cristian and Goyal, Anirudh and Shu, Tianmin and Mozer, Michael and Heess, Nicolas and Bengio, Yoshua},
     journal = {The Eleventh International Conference on Learning Representations (ICLR2023)},
     year = {2023},
   }

2. 

   Nowcasting of Extreme Precipitation Using Deep Generative Models

   Haoran Bi, Maksym Kyryliuk, Zhiyi Wang, and 5 more authors

   ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023), 2023

   Bib HTML

   @article{bi2023nowcasting,
     title = {Nowcasting of Extreme Precipitation Using Deep Generative Models},
     author = {Bi, Haoran and Kyryliuk, Maksym and Wang, Zhiyi and Meo, Cristian and Wang, Yanbo and Imhoff, Ruben and Uijlenhoet, Remko and Dauwels, Justin},
     journal = {ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023)},
     pages = {1--5},
     year = {2023},
     organization = {IEEE}
   }

2022

1. 

   Adaptation through Prediction: Multisensory Active Inference Torque Control

   Cristian Meo, Giovanni Franzese, Corrado Pezzato, and 2 more authors

   IEEE Transactions on Cognitive and Developmental Systems, 2022

   Bib HTML

   @article{meo2022adaptation,
     title = {Adaptation through Prediction: Multisensory Active Inference Torque Control},
     author = {Meo, Cristian and Franzese, Giovanni and Pezzato, Corrado and Spahn, Max and Lanillos, Pablo},
     journal = {IEEE Transactions on Cognitive and Developmental Systems},
     volume = {15},
     number = {1},
     pages = {32--41},
     year = {2022},
     publisher = {IEEE}
   }

2021

1. 

   Active Inference in Robotics and Artificial Agents: Survey and Challenges

   Pablo Lanillos, Cristian Meo, Corrado Pezzato, and 8 more authors

   2021

   Bib HTML

   @article{lanillos2021active,
     title = {Active Inference in Robotics and Artificial Agents: Survey and Challenges},
     author = {Lanillos, Pablo and Meo, Cristian and Pezzato, Corrado and Meera, Ajith Anil and Baioumy, Mohamed and Ohata, Wataru and Tschantz, Alexander and Millidge, Beren and Wisse, Martijn and Buckley, Christopher L and others},
     booktitle = {arXiv preprint arXiv:2112.01871},
     year = {2021}
   }

2. 

   Multimodal-VAE Active Inference Controller

   Cristian Meo, and Pablo Lanillos

   2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021), 2021

   Bib HTML

   @article{meo2021multimodal,
     title = {Multimodal-VAE Active Inference Controller},
     author = {Meo, Cristian and Lanillos, Pablo},
     journal = {2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021)},
     pages = {2693--2699},
     year = {2021},
     organization = {IEEE}
   }