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ORCIDCatalina Cangea
Person information
- unicode name: Cătălina Cangea
- affiliation: University of Cambridge, Department of Computer Science and Technology, UK
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Books and Theses
- 2021
[b1]Catalina Cangea:
Exploiting multimodality and structure in world representations. University of Cambridge, UK, 2021
Journal Articles
- 2023
- [j3]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) - 2021
- [j2]Cristian Bodnar, Catalina Cangea, Pietro Liò
:
Deep Graph Mapper: Seeing Graphs Through the Neural Lens. Frontiers Big Data 4: 680535 (2021) - 2020
- [j1]Catalina Cangea, Petar Velickovic, Pietro Liò:
XFlow: Cross-Modal Deep Neural Networks for Audiovisual Classification. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3711-3720 (2020)
Conference and Workshop Papers
- 2022
- [c4]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: 8535-8558 - 2021
- [c3]Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville, Eugene Belilovsky:
Generative Compositional Augmentations for Scene Graph Prediction. ICCV 2021: 15807-15817 - 2020
- [c2]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 - 2019
- [c1]Catalina Cangea, Eugene Belilovsky, Aaron C. Courville:
VideoNavQA: Bridging the Gap between Visual and Embodied Question Answering. BMVC 2019: 280
Informal and Other Publications
- 2022
- [i17]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. CoRR abs/2202.07765 (2022) - [i16]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 abs/2211.05039 (2022) - [i15]Carlos Purves, Pietro Liò, Catalina Cangea:
Goal-Conditioned Reinforcement Learning in the Presence of an Adversary. CoRR abs/2211.06929 (2022) - 2021
- [i14]Pavol Drotár, Arian Rokkum Jamasb, Ben Day, Catalina Cangea, Pietro Liò:
Structure-aware generation of drug-like molecules. CoRR abs/2111.04107 (2021) - 2020
- [i13]Cristian Bodnar, Catalina Cangea, Pietro Liò:
Deep Graph Mapper: Seeing Graphs through the Neural Lens. CoRR abs/2002.03864 (2020) - [i12]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 abs/2005.08230 (2020) - [i11]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 abs/2006.05138 (2020) - [i10]Péter Mernyei, Catalina Cangea:
Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks. CoRR abs/2007.02901 (2020) - [i9]Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville, Eugene Belilovsky:
Generative Graph Perturbations for Scene Graph Prediction. CoRR abs/2007.05756 (2020) - [i8]Ben Day, Catalina Cangea, Arian R. Jamasb, Pietro Liò:
Message Passing Neural Processes. CoRR abs/2009.13895 (2020) - 2019
- [i7]Catalina Cangea, Eugene Belilovsky, Pietro Liò, Aaron C. Courville:
VideoNavQA: Bridging the Gap between Visual and Embodied Question Answering. ViGIL@NeurIPS 2019 - [i6]Felix L. Opolka, Aaron Solomon, Catalina Cangea, Petar Velickovic, Pietro Liò, R. Devon Hjelm:
Spatio-Temporal Deep Graph Infomax. CoRR abs/1904.06316 (2019) - [i5]Catalina Cangea, Eugene Belilovsky, Pietro Liò, Aaron C. Courville:
VideoNavQA: Bridging the Gap between Visual and Embodied Question Answering. CoRR abs/1908.04950 (2019) - [i4]Carlos Purves, Catalina Cangea, Petar Velickovic:
The PlayStation Reinforcement Learning Environment (PSXLE). CoRR abs/1912.06101 (2019) - 2018
- [i3]Catalina Cangea, Petar Velickovic, Nikola Jovanovic, Thomas Kipf, Pietro Liò:
Towards Sparse Hierarchical Graph Classifiers. CoRR abs/1811.01287 (2018) - [i2]Catalina Cangea, Arturas Grauslys, Pietro Liò, Francesco Falciani:
Structure-Based Networks for Drug Validation. CoRR abs/1811.09714 (2018) - 2017
- [i1]Catalina Cangea, Petar Velickovic, Pietro Liò:
XFlow: 1D-2D Cross-modal Deep Neural Networks for Audiovisual Classification. CoRR abs/1709.00572 (2017)
Coauthor Index
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