| Active inference in robotics and artificial agents: Survey and challenges P Lanillos, C Meo, C Pezzato, AA Meera, M Baioumy, W Ohata, ... arXiv preprint arXiv:2112.01871, 2021 | 136 | 2021 |
| Multimodal-VAE Active Inference Controller C Meo, P Lanillos 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 27* | 2021 |
| Adaptation through prediction: Multisensory active inference torque control C Meo, G Franzese, C Pezzato, M Spahn, P Lanillos IEEE Transactions on Cognitive and Developmental Systems, 2021 | 12 | 2021 |
| Stateful active facilitator: Coordination and environmental heterogeneity in cooperative multi-agent reinforcement learning D Liu, V Shah, O Boussif, C Meo, A Goyal, T Shu, M Mozer, N Heess, ... The Eleventh International Conference on Learning Representations (ICLR 2023), 2022 | 9 | 2022 |
| Nowcasting of extreme precipitation using deep generative models H Bi, M Kyryliuk, Z Wang, C Meo, Y Wang, R Imhoff, R Uijlenhoet, ... ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 6 | 2023 |
| TC-VAE: On the relationship between Disentanglement and Diversity C Meo, L Mahon, A Goyal, J Dauwels The Twelfth International Conference on Learning Representations (ICLR 2024), 2023 | 5 | 2023 |
| Active Inference in Robotics and Artificial Agents: Survey and Challenges. 2021, p P Lanillos, C Meo, C Pezzato, AA Meera, M Baioumy, W Ohata, ... arXiv preprint arXiv:2112.01871, 0 | 5 | |
| Extreme Precipitation Nowcasting using Transformer-based Generative Models C Meo, A Roy, M Lică, J Yin, ZB Che, Y Wang, R Imhoff, R Uijlenhoet, ... ICLR 2024 Workshop: Tackling Climate Change with Machine Learning, 2024 | 3 | 2024 |
| Bayesian-LoRA: LoRA based Parameter Efficient Fine-Tuning using Optimal Quantization levels and Rank Values trough Differentiable Bayesian Gates C Meo, K Sycheva, A Goyal, J Dauwels ICML24 Workshop on Advancing Neural Network Training (WANT): Computational …, 2024 | 2 | 2024 |
| Object-Centric Temporal Consistency via Conditional Autoregressive Inductive Biases C Meo, A Nakano, M Lică, A Didolkar, M Suzuki, A Goyal, M Zhang, ... arXiv preprint arXiv:2410.15728, 2024 | 1 | 2024 |
| Precipitation Nowcasting Using Physics Informed Discriminator Generative Models J Yin, C Meo, A Roy, ZB Cher, Y Wang, R Imhoff, R Uijlenhoet, J Dauwels European Conference on Signal Processing (EUSIPCO 2024), 2024 | 1 | 2024 |
| Image Search Engine by Deep Neural Networks Y Yao, Q Zhang, Y Hu, C Meo, Y Wang, A Nanetti, J Dauwels Pre-Proceedings of the 2022 Symposium on Information Theory and Signal …, 2022 | 1 | 2022 |
| Masked Generative Priors Improve World Models Sequence Modelling Capabilities C Meo, M Lica, Z Ikram, A Nakano, V Shah, AR Didolkar, D Liu, A Goyal, ... arXiv preprint arXiv:2410.07836, 2024 | | 2024 |
| Discrete Messages Improve Communication Efficiency among Isolated Intelligent Agents H Chen, Y Jang, W Zhou, C Meo, Z Chen, D Liu arXiv preprint arXiv:2312.15985, 2023 | | 2023 |
| MAIC: Multimodal Active Inference Controller C Meo | | 2021 |
Justin DauwelsDelft University of TechnologyVerified email at tudelft.nl