Cristian Meo - RankMe

26 papers A* 2A 1Misc 1Journal 21Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ROSER: Few-Shot Robotic Sequence Retrieval for Scalable Robot Learning. CoRR Zillur Rahman, Eddison Pham, Alejandro Daniel Noel, Cristian Meo
2026	J	`jnl`	Retrieval, Refinement, and Ranking for Text-to-Video Generation via Prompt Optimization and Test-Time Scaling. CoRR Zillur Rahman, Alex Sheng, Cristian Meo
2025	J	`jnl`	Assessing the Geographic Generalization and Physical Consistency of Generative Models for Climate Downscaling. CoRR Carlo Saccardi, Maximilian Pierzyna, Haitz Sáez de Ocáriz Borde, Simone Monaco, Cristian Meo, Pietro Liò, Rudolf Saathof, Geethu Joseph, Justin Dauwels
2025	J	`jnl`	BlockGPT: Spatio-Temporal Modelling of Rainfall via Frame-Level Autoregression. CoRR Cristian Meo, Varun Sarathchandran, Avijit Majhi, Shao Hung, Carlo Saccardi, Ruben Imhoff, Roberto Deidda, Remko Uijlenhoet, Justin Dauwels
2025	J	`jnl`	Bridging Embodiment Gaps: Deploying Vision-Language-Action Models on Soft Robots. CoRR Haochen Su, Cristian Meo, Francesco Stella, Andrea Peirone, Kai Junge, Josie Hughes
2025	J	`jnl`	DynaStride: Dynamic Stride Windowing with MMCoT for Instructional Multi-Scene Captioning. CoRR Eddison Pham, Prisha Priyadarshini, Adrian Maliackel, Kanishk Bandi, Cristian Meo, Kevin Zhu
2025	J	`jnl`	Evaluation of Vision-LLMs in Surveillance Video. CoRR Pascal Benschop, Cristian Meo, Justin Dauwels, Jelte P. Mense
2025	J	`jnl`	Grounding Foundational Vision Models with 3D Human Poses for Robust Action Recognition. CoRR Nicholas Babey, Tiffany Gu, Yiheng Li, Cristian Meo, Kevin Zhu
2024	J	`jnl`	Bayesian-LoRA: LoRA based Parameter Efficient Fine-Tuning using Optimal Quantization levels and Rank Values trough Differentiable Bayesian Gates. CoRR Cristian Meo, Ksenia Sycheva, Anirudh Goyal, Justin Dauwels
2024	J	`jnl`	Extreme Precipitation Nowcasting using Transformer-based Generative Models. CoRR Cristian Meo, Ankush Roy, Mircea Lica, Junzhe Yin, Zeineb Bou Che, Yanbo Wang, Ruben Imhoff, Remko Uijlenhoet, Justin Dauwels
2024	J	`jnl`	Masked Generative Priors Improve World Models Sequence Modelling Capabilities. CoRR Cristian Meo, Mircea Lica, Zarif Ikram, Akihiro Nakano, Vedant Shah, Aniket Rajiv Didolkar, Dianbo Liu, Anirudh Goyal, Justin Dauwels
2024	J	`jnl`	Object-Centric Temporal Consistency via Conditional Autoregressive Inductive Biases. CoRR Cristian Meo, Akihiro Nakano, Mircea Lica, Aniket Didolkar, Masahiro Suzuki, Anirudh Goyal, Mengmi Zhang, Justin Dauwels, Yutaka Matsuo, Yoshua Bengio
2024	—	`conf`	Precipitation Nowcasting Using Physics Informed Discriminator Generative Models. EUSIPCO Junzhe Yin, Cristian Meo, Ankush Roy, Zeineh Bou Cher, Mircea Lica, Yanbo Wang, Ruben Imhoff, Remko Uijlenhoet, Justin Dauwels
2024	J	`jnl`	Precipitation Nowcasting Using Physics Informed Discriminator Generative Models. CoRR Junzhe Yin, Cristian Meo, Ankush Roy, Zeineh Bou Cher, Yanbo Wang, Ruben Imhoff, Remko Uijlenhoet, Justin Dauwels
2024	J	`jnl`	α-TCVAE: On the relationship between Disentanglement and Diversity. CoRR Cristian Meo, Louis Mahon, Anirudh Goyal, Justin Dauwels
2024	A*	`conf`	αTC-VAE: On the relationship between Disentanglement and Diversity. ICLR Cristian Meo, Louis Mahon, Anirudh Goyal, Justin Dauwels
2023	J	`jnl`	Adaptation Through Prediction: Multisensory Active Inference Torque Control. IEEE Trans. Cogn. Dev. Syst. Cristian Meo, Giovanni Franzese, Corrado Pezzato, Max Spahn, Pablo Lanillos
2023	J	`jnl`	Discrete Messages Improve Communication Efficiency among Isolated Intelligent Agents. CoRR Hang Chen, Yuchuan Jang, Weijie Zhou, Cristian Meo, Ziwei Chen, Dianbo Liu
2023	Misc	`conf`	Nowcasting of Extreme Precipitation Using Deep Generative Models. ICASSP Haoran Bi, Maksym Kyryliuk, Zhiyi Wang, Cristian Meo, Yanbo Wang, Ruben Imhoff, Remko Uijlenhoet, Justin Dauwels
2023	A*	`conf`	Stateful Active Facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning. ICLR Dianbo Liu, Vedant Shah, Oussama Boussif, Cristian Meo, Anirudh Goyal, Tianmin Shu, Michael Curtis Mozer, Nicolas Heess, Yoshua Bengio
2022	J	`jnl`	Coordinating Policies Among Multiple Agents via an Intelligent Communication Channel. CoRR Dianbo Liu, Vedant Shah, Oussama Boussif, Cristian Meo, Anirudh Goyal, Tianmin Shu, Michael Mozer, Nicolas Heess, Yoshua Bengio
2022	J	`jnl`	Stateful active facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning. CoRR Dianbo Liu, Vedant Shah, Oussama Boussif, Cristian Meo, Anirudh Goyal, Tianmin Shu, Michael Mozer, Nicolas Heess, Yoshua Bengio
2021	J	`jnl`	Active Inference in Robotics and Artificial Agents: Survey and Challenges. CoRR Pablo Lanillos, Cristian Meo, Corrado Pezzato, Ajith Anil Meera, Mohamed Baioumy, Wataru Ohata, Alexander Tschantz, Beren Millidge, Martijn Wisse, Christopher L. Buckley, Jun Tani
2021	J	`jnl`	Adaptation through prediction: multisensory active inference torque control. CoRR Cristian Meo, Giovanni Franzese, Corrado Pezzato, Max Spahn, Pablo Lanillos
2021	A	`conf`	Multimodal VAE Active Inference Controller. IROS Cristian Meo, Pablo Lanillos
2021	J	`jnl`	Multimodal VAE Active Inference Controller. CoRR Cristian Meo, Pablo Lanillos