4 citations · 8 across the 4 of their papers we have counts for
5 papers
Climate Surrogates for Scalable Multi-Agent Reinforcement Learning: A Case Study with CICERO-SCM
Oskar Bohn Lassen, Serio Angelo Maria Agriesti, Filipe Rodrigues +1
Climate policy studies require models that capture the combined effects of multiple greenhouse gases on global temperature, but these models are computationally expensive and diffi…
Bayesian Active Learning for Censored Regression
Frederik Boe Hüttel, Christoffer Riis, Filipe Rodrigues +1
Bayesian active learning is based on information theoretical approaches that focus on maximising the information that new observations provide to the model parameters. This is comm…
Deep Evidential Learning for Bayesian Quantile Regression
Frederik Boe Hüttel, Filipe Rodrigues, Francisco Câmara Pereira
It is desirable to have accurate uncertainty estimation from a single deterministic forward-pass model, as traditional methods for uncertainty quantification are computationally ex…
Analyzing the Reporting Error of Public Transport Trips in the Danish National Travel Survey Using Smart Card Data
Georges Sfeir, Filipe Rodrigues, Maya Abou Zeid +1
Household travel surveys have been used for decades to collect individuals and households' travel behavior. However, self-reported surveys are subject to recall bias, as respondent…
Railway Network Delay Evolution: A Heterogeneous Graph Neural Network Approach
Zhongcan Li, Ping Huang, Chao Wen +1
Railway operations involve different types of entities (stations, trains, etc.), making the existing graph/network models with homogenous nodes (i.e., the same kind of nodes) incap…