Publications

Jannik Kossen, Cătălina Cangea, Eszter Vértes, Andrew Jaegle, Viorica Patraucean, Ira Ktena, Nenad Tomasev, Danielle Belgrave (2023). Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task. TMLR 2023.

Curtis Hawthorne*, Andrew Jaegle*, Cătălina Cangea, Sebastian Borgeaud, Charlie Nash, Mateusz Malinowski, Sander Dieleman, Oriol Vinyals, Matthew Botvinick, Ian Simon, Hannah Sheahan, Neil Zeghidour, Jean-Baptiste Alayrac*, João Carreira*, Jesse Engel* (2022). General-purpose, long-context autoregressive modeling with Perceiver AR. ICML 2022.

PDF Code Project

Dr Cătălina Cangea (2021). Exploiting multimodality and structure in world representations. PhD thesis (2021).

Cristian Bodnar*, Cătălina Cangea*, Pietro Liò (2020). Deep Graph Mapper: Seeing Graphs through the Neural Lens. Frontiers 2021, TDA and Beyond (NeurIPS-W 2020).

PDF Code Poster Slides

Cătălina Cangea*, Ben Day*, Arian R. Jamasb, Pietro Liò (2020). Message Passing Neural Processes. GTRL workshop (ICLR 2022).

Péter Mernyei, Cătălina Cangea (2020). Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks. Spotlight at GRL+ workshop (ICML 2020).

PDF Code Dataset

Boris Knyazev, Harm de Vries, Cătălina Cangea, Graham W. Taylor, Aaron Courville, Eugene Belilovsky (2020). Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation. BMVC 2020.

Carlos Purves, Dr Cătălina Cangea, Petar Veličković (2019). The PlayStation Reinforcement Learning Environment (PSXLE). DeepRL Workshop (NeurIPS 2019).

Dr Cătălina Cangea, Petar Veličković, Pietro Liò (2019). XFlow: Cross-modal Deep Neural Networks for Audiovisual Classification. IEEE Transactions on Neural Networks and Learning Systems 2019.

PDF Code Dataset

Dr Cătălina Cangea, Eugene Belilovsky, Pietro Liò, Aaron Courville (2019). VideoNavQA: Bridging the Gap between Visual and Embodied Question Answering. BMVC 2019, spotlight at the ViGIL workshop (NeurIPS 2019).

PDF Code Dataset Poster Video

Felix L. Opolka, Aaron Solomon, Dr Cătălina Cangea, Petar Veličković, Pietro Liò, R Devon Hjelm (2019). Spatio-Temporal Deep Graph Infomax. RLGM Workshop (ICLR 2019).

Cătălina Cangea*, Petar Veličković*, Nikola Jovanović, Thomas Kipf, Pietro Liò (2018). Towards Sparse Hierarchical Graph Classifiers. R2L workshop (NeurIPS 2018).