Catalina Cangea

25 papers A* 2A 2Journal 19Unranked 1

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