Multimodal VAE Active Inference Controller. - Cristian Meo; Pablo Lanillos (IROS, 2021)

Active Inference in Robotics and Artificial Agents: Survey and Challenges. - Pablo Lanillos; Cristian Meo; Corrado Pezzato; Ajith Anil Meera; Mohamed Baioumy; Wataru Ohata; Alexander Tschantz; Beren Millidge; Martijn Wisse; Christopher L. Buckley; Jun Tani (CoRR, 2021)

Coordinating Policies Among Multiple Agents via an Intelligent Communication Channel. - Dianbo Liu; Vedant Shah; Oussama Boussif; Cristian Meo; Anirudh Goyal; Tianmin Shu; Michael Mozer; Nicolas Heess; Yoshua Bengio (CoRR, 2022)

Nowcasting of Extreme Precipitation Using Deep Generative Models. - Haoran Bi; Maksym Kyryliuk; Zhiyi Wang; Cristian Meo; Yanbo Wang; Ruben Imhoff; Remko Uijlenhoet; Justin Dauwels (ICASSP, 2023)

Stateful Active Facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning. - Dianbo Liu; Vedant Shah; Oussama Boussif; Cristian Meo; Anirudh Goyal; Tianmin Shu; Michael Curtis Mozer; Nicolas Heess; Yoshua Bengio (ICLR, 2023)

Discrete Messages Improve Communication Efficiency among Isolated Intelligent Agents. - Hang Chen; Yuchuan Jang; Weijie Zhou; Cristian Meo; Ziwei Chen; Dianbo Liu (CoRR, 2023)

Adaptation Through Prediction: Multisensory Active Inference Torque Control. - Cristian Meo; Giovanni Franzese; Corrado Pezzato; Max Spahn; Pablo Lanillos (IEEE Trans. Cogn. Dev. Syst., 2023)

Precipitation Nowcasting Using Physics Informed Discriminator Generative Models. - Junzhe Yin; Cristian Meo; Ankush Roy; Zeineh Bou Cher; Mircea Lica; Yanbo Wang; Ruben Imhoff; Remko Uijlenhoet; Justin Dauwels (EUSIPCO, 2024)

αTC-VAE: On the relationship between Disentanglement and Diversity. - Cristian Meo; Louis Mahon; Anirudh Goyal; Justin Dauwels (ICLR, 2024)

Extreme Precipitation Nowcasting using Transformer-based Generative Models. - Cristian Meo; Ankush Roy; Mircea Lica; Junzhe Yin; Zeineb Bou Che; Yanbo Wang; Ruben Imhoff; Remko Uijlenhoet; Justin Dauwels (CoRR, 2024)

Precipitation Nowcasting Using Physics Informed Discriminator Generative Models. - Junzhe Yin; Cristian Meo; Ankush Roy; Zeineh Bou Cher; Yanbo Wang; Ruben Imhoff; Remko Uijlenhoet; Justin Dauwels (CoRR, 2024)

Bayesian-LoRA: LoRA based Parameter Efficient Fine-Tuning using Optimal Quantization levels and Rank Values trough Differentiable Bayesian Gates. - Cristian Meo; Ksenia Sycheva; Anirudh Goyal; Justin Dauwels (CoRR, 2024)

Masked Generative Priors Improve World Models Sequence Modelling Capabilities. - Cristian Meo; Mircea Lica; Zarif Ikram; Akihiro Nakano; Vedant Shah; Aniket Rajiv Didolkar; Dianbo Liu; Anirudh Goyal; Justin Dauwels (CoRR, 2024)

Object-Centric Temporal Consistency via Conditional Autoregressive Inductive Biases. - Cristian Meo; Akihiro Nakano; Mircea Lica; Aniket Didolkar; Masahiro Suzuki 001; Anirudh Goyal; Mengmi Zhang; Justin Dauwels; Yutaka Matsuo; Yoshua Bengio (CoRR, 2024)

α-TCVAE: On the relationship between Disentanglement and Diversity. - Cristian Meo; Louis Mahon; Anirudh Goyal; Justin Dauwels (CoRR, 2024)