Rodrigues, Filipe

8 publications

ECML-PKDD 2025 Bayesian Active Learning for Censored Regression Frederik Boe Hüttel, Christoffer Riis, Filipe Rodrigues, Francisco C. Pereira

IJCAI 2025 Diffusion-Aware Censored Gaussian Processes for Demand Modelling Filipe Rodrigues

ICLR 2025 Offline Hierarchical Reinforcement Learning via Inverse Optimization Carolin Schmidt, Daniele Gammelli, James Harrison, Marco Pavone, Filipe Rodrigues

ICML 2023 Graph Reinforcement Learning for Network Control via Bi-Level Optimization Daniele Gammelli, James Harrison, Kaidi Yang, Marco Pavone, Filipe Rodrigues, Francisco C. Pereira

ICMLW 2021 Recurrent Flow Networks: A Recurrent Latent Variable Model for Density Modelling of Urban Mobility Daniele Gammelli, Filipe Rodrigues

AAAI 2018 Deep Learning from Crowds Filipe Rodrigues, Francisco C. Pereira

ICML 2014 Gaussian Process Classification and Active Learning with Multiple Annotators Filipe Rodrigues, Francisco Pereira, Bernardete Ribeiro

MLJ 2014 Sequence Labeling with Multiple Annotators Filipe Rodrigues, Francisco C. Pereira, Bernardete Ribeiro