Catalina Cangea

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 24

Top Topics

Directed Acyclic

Question Answering

Graph Representation

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Jannik Kossen, Catalina Cangea, Eszter Vértes, Andrew Jaegle, Viorica Patraucean, Ira Ktena, Nenad Tomasev, Danielle Belgrave
Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task. Trans. Mach. Learn. Res. 2023 (2023)
Jannik Kossen, Catalina Cangea, Eszter Vértes, Andrew Jaegle, Viorica Patraucean, Ira Ktena, Nenad Tomasev, Danielle Belgrave
Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task. CoRR (2022)
Curtis Hawthorne, Andrew Jaegle, Catalina 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 H. Engel
General-purpose, long-context autoregressive modeling with Perceiver AR. CoRR (2022)
Carlos Purves, Pietro Liò, Catalina Cangea
Goal-Conditioned Reinforcement Learning in the Presence of an Adversary. CoRR (2022)
Curtis Hawthorne, Andrew Jaegle, Catalina Cangea, Sebastian Borgeaud, Charlie Nash, Mateusz Malinowski, Sander Dieleman, Oriol Vinyals, Matthew M. Botvinick, Ian Simon, Hannah Sheahan, Neil Zeghidour, Jean-Baptiste Alayrac, João Carreira, Jesse H. Engel
General-purpose, long-context autoregressive modeling with Perceiver AR. ICML (2022)
Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville, Eugene Belilovsky
Generative Compositional Augmentations for Scene Graph Prediction. ICCV (2021)
Cristian Bodnar, Catalina Cangea, Pietro Liò
Deep Graph Mapper: Seeing Graphs Through the Neural Lens. Frontiers Big Data 4 (2021)
Pavol Drotár, Arian Rokkum Jamasb, Ben Day, Catalina Cangea, Pietro Liò
Structure-aware generation of drug-like molecules. CoRR (2021)
Ben Day, Catalina Cangea, Arian R. Jamasb, Pietro Liò
Message Passing Neural Processes. CoRR (2020)
Cristian Bodnar, Catalina Cangea, Pietro Liò
Deep Graph Mapper: Seeing Graphs through the Neural Lens. CoRR (2020)
Catalina Cangea, Petar Velickovic, Pietro Liò
XFlow: Cross-Modal Deep Neural Networks for Audiovisual Classification. IEEE Trans. Neural Networks Learn. Syst. 31 (9) (2020)
Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville, Eugene Belilovsky
Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation. BMVC (2020)
Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville, Eugene Belilovsky
Generative Graph Perturbations for Scene Graph Prediction. CoRR (2020)
Péter Mernyei, Catalina Cangea
Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks. CoRR (2020)
Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville, Eugene Belilovsky
Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation. CoRR (2020)
Jake P. Taylor-King, Cristian Regep, Jyothish Soman, Flawnson Tong, Catalina Cangea, Charlie Roberts
Sparse Dynamic Distribution Decomposition: Efficient Integration of Trajectory and Snapshot Time Series Data. CoRR (2020)
Catalina Cangea, Eugene Belilovsky, Pietro Liò, Aaron C. Courville
VideoNavQA: Bridging the Gap between Visual and Embodied Question Answering. CoRR (2019)
Catalina Cangea, Eugene Belilovsky, Pietro Liò, Aaron C. Courville
VideoNavQA: Bridging the Gap between Visual and Embodied Question Answering. ViGIL@NeurIPS (2019)
Carlos Purves, Catalina Cangea, Petar Velickovic
The PlayStation Reinforcement Learning Environment (PSXLE). CoRR (2019)
Catalina Cangea, Eugene Belilovsky, Aaron C. Courville
VideoNavQA: Bridging the Gap between Visual and Embodied Question Answering. BMVC (2019)
Felix L. Opolka, Aaron Solomon, Catalina Cangea, Petar Velickovic, Pietro Liò, R. Devon Hjelm
Spatio-Temporal Deep Graph Infomax. CoRR (2019)
Catalina Cangea, Petar Velickovic, Nikola Jovanovic, Thomas Kipf, Pietro Liò
Towards Sparse Hierarchical Graph Classifiers. CoRR (2018)
Catalina Cangea, Arturas Grauslys, Pietro Liò, Francesco Falciani
Structure-Based Networks for Drug Validation. CoRR (2018)
Catalina Cangea, Petar Velickovic, Pietro Liò
XFlow: 1D-2D Cross-modal Deep Neural Networks for Audiovisual Classification. CoRR (2017)