Isabela Albuquerque

39 papers A* 8B 6Journal 20Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Rich Insights from Cheap Signals: Efficient Evaluations via Tensor Factorization. CoRR Felipe Maia Polo, Aida Nematzadeh, Virginia Aglietti, Adam Fisch, Isabela Albuquerque
2025	J	`jnl`	Benchmarking Diversity in Image Generation via Attribute-Conditional Human Evaluation. CoRR Isabela Albuquerque, Ira Ktena, Olivia Wiles, Ivana Kajic, Amal Rannen-Triki, Cristina Nader Vasconcelos, Aida Nematzadeh
2025	A*	`conf`	Century: A Framework and Dataset for Evaluating Historical Contextualisation of Sensitive Images. ICLR Canfer Akbulut, Kevin Robinson, Maribeth Rauh, Isabela Albuquerque, Olivia Wiles, Laura Weidinger, Verena Rieser, Yana Hasson, Nahema Marchal, Iason Gabriel, William Isaac, Lisa Anne Hendricks
2025	J	`jnl`	Dynamic Classifier-Free Diffusion Guidance via Online Feedback. CoRR Pinelopi Papalampidi, Olivia Wiles, Ira Ktena, Aleksandar Shtedritski, Emanuele Bugliarello, Ivana Kajic, Isabela Albuquerque, Aida Nematzadeh
2025	A*	`conf`	Revisiting text-to-image evaluation with Gecko: on metrics, prompts, and human rating. ICLR Olivia Wiles, Chuhan Zhang, Isabela Albuquerque, Ivana Kajic, Su Wang, Emanuele Bugliarello, Yasumasa Onoe, Pinelopi Papalampidi, Ira Ktena, Christopher Knutsen, Cyrus Rashtchian, Anant Nawalgaria, Jordi Pont-Tuset, Aida Nematzadeh
2024	A*	`conf`	Evaluating Model Bias Requires Characterizing its Mistakes. ICML Isabela Albuquerque, Jessica Schrouff, David Warde-Farley, Ali Taylan Cemgil, Sven Gowal, Olivia Wiles
2024	J	`jnl`	Evaluating Model Bias Requires Characterizing its Mistakes. CoRR Isabela Albuquerque, Jessica Schrouff, David Warde-Farley, A. Taylan Cemgil, Sven Gowal, Olivia Wiles
2024	A*	`conf`	Evaluating Numerical Reasoning in Text-to-Image Models. NeurIPS Ivana Kajic, Olivia Wiles, Isabela Albuquerque, Matthias Bauer, Su Wang, Jordi Pont-Tuset, Aida Nematzadeh
2024	J	`jnl`	Evaluating Numerical Reasoning in Text-to-Image Models. CoRR Ivana Kajic, Olivia Wiles, Isabela Albuquerque, Matthias Bauer, Su Wang, Jordi Pont-Tuset, Aida Nematzadeh
2024	A*	`conf`	Mind the Graph When Balancing Data for Fairness or Robustness. NeurIPS Jessica Schrouff, Alexis Bellot, Amal Rannen-Triki, Alan Malek, Isabela Albuquerque, Arthur Gretton, Alexander D'Amour, Silvia Chiappa
2024	J	`jnl`	Mind the Graph When Balancing Data for Fairness or Robustness. CoRR Jessica Schrouff, Alexis Bellot, Amal Rannen-Triki, Alan Malek, Isabela Albuquerque, Arthur Gretton, Alexander D'Amour, Silvia Chiappa
2024	J	`jnl`	Revisiting Text-to-Image Evaluation with Gecko: On Metrics, Prompts, and Human Ratings. CoRR Olivia Wiles, Chuhan Zhang, Isabela Albuquerque, Ivana Kajic, Su Wang, Emanuele Bugliarello, Yasumasa Onoe, Chris Knutsen, Cyrus Rashtchian, Jordi Pont-Tuset, Aida Nematzadeh
2023	J	`jnl`	Generative models improve fairness of medical classifiers under distribution shifts. CoRR Ira Ktena, Olivia Wiles, Isabela Albuquerque, Sylvestre-Alvise Rebuffi, Ryutaro Tanno, Abhijit Guha Roy, Shekoofeh Azizi, Danielle Belgrave, Pushmeet Kohli, Alan Karthikesalingam, A. Taylan Cemgil, Sven Gowal
2022	J	`jnl`	Discovering Bugs in Vision Models using Off-the-shelf Image Generation and Captioning. CoRR Olivia Wiles, Isabela Albuquerque, Sven Gowal
2022	J	`jnl`	Estimating distribution shifts for predicting cross-subject generalization in electroencephalography-based mental workload assessment. Frontiers Artif. Intell. Isabela Albuquerque, João Monteiro, Olivier Rosanne, Tiago H. Falk
2020	A*	`conf`	An end-to-end approach for the verification problem: learning the right distance. ICML João Monteiro, Isabela Albuquerque, Jahangir Alam, R. Devon Hjelm, Tiago H. Falk
2020	J	`jnl`	An end-to-end approach for the verification problem: learning the right distance. CoRR João Monteiro, Isabela Albuquerque, Jahangir Alam, R. Devon Hjelm, Tiago H. Falk
2020	J	`jnl`	Improving out-of-distribution generalization via multi-task self-supervised pretraining. CoRR Isabela Albuquerque, Nikhil Naik, Junnan Li, Nitish Shirish Keskar, Richard Socher
2019	B	`conf`	A Multimodal Approach to Improve the Robustness of Physiological Stress Prediction During Physical Activity. SMC Mark Parent, Abhishek Tiwari, Isabela Albuquerque, Jean-François Gagnon, Daniel Lafond, Sébastien Tremblay, Tiago H. Falk
2019	—	`conf`	AMA: An Open-source Amplitude Modulation Analysis Toolkit for Signal Processing Applications. GlobalSIP Raymundo Cassani, Isabela Albuquerque, João Monteiro, Tiago H. Falk
2019	J	`jnl`	Adversarial target-invariant representation learning for domain generalization. CoRR Isabela Albuquerque, João Monteiro, Tiago H. Falk, Ioannis Mitliagkas
2019	B	`conf`	Cross-Subject Statistical Shift Estimation for Generalized Electroencephalography-based Mental Workload Assessment. SMC Isabela Albuquerque, João Monteiro, Olivier Rosanne, Abhishek Tiwari, Jean-François Gagnon, Tiago H. Falk
2019	J	`jnl`	Cross-Subject Statistical Shift Estimation for Generalized Electroencephalography-based Mental Workload Assessment. CoRR Isabela Albuquerque, João Monteiro, Olivier Rosanne, Abhishek Tiwari, Jean-François Gagnon, Tiago H. Falk
2019	J	`jnl`	Deep learning-based electroencephalography analysis: a systematic review. CoRR Yannick Roy, Hubert J. Banville, Isabela Albuquerque, Alexandre Gramfort, Tiago H. Falk, Jocelyn Faubert
2019	—	`conf`	Fusion of Spectral and Spectro-Temporal EEG Features for Mental Workload Assessment Under Different Levels of Physical Activity. NER Isabela Albuquerque, Olivier Rosanne, Jean-François Gagnon, Sébastien Tremblay, Tiago H. Falk
2019	B	`conf`	Generalizable Adversarial Examples Detection Based on Bi-model Decision Mismatch. SMC João Monteiro, Isabela Albuquerque, Zahid Akhtar, Tiago H. Falk
2019	J	`jnl`	Learning to navigate image manifolds induced by generative adversarial networks for unsupervised video generation. CoRR Isabela Albuquerque, João Monteiro, Tiago H. Falk
2019	B	`conf`	Mental Workload Assessment During Physical Activity Using Non-linear Movement Artefact Robust Electroencephalography Features. SMC Abhishek Tiwari, Isabela Albuquerque, Jean-François Gagnon, Daniel Lafond, Mark Parent, Sébastien Tremblay, Tiago H. Falk
2019	J	`jnl`	Multi-Scale Heart Beat Entropy Measures for Mental Workload Assessment of Ambulant Users. Entropy Abhishek Tiwari, Isabela Albuquerque, Mark Parent, Jean-François Gagnon, Daniel Lafond, Sébastien Tremblay, Tiago H. Falk
2019	A*	`conf`	Multi-objective training of Generative Adversarial Networks with multiple discriminators. ICML Isabela Albuquerque, João Monteiro, Thang Doan, Breandan Considine, Tiago H. Falk, Ioannis Mitliagkas
2019	J	`jnl`	Multi-objective training of Generative Adversarial Networks with multiple discriminators. CoRR Isabela Albuquerque, João Monteiro, Thang Doan, Breandan Considine, Tiago H. Falk, Ioannis Mitliagkas
2019	A*	`conf`	On-Line Adaptative Curriculum Learning for GANs. AAAI Thang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm
2019	—	`conf`	Performance Comparison of Automated EEG Enhancement Algorithms for Mental Workload Assessment of Ambulant Users. NER Olivier Rosanne, Isabela Albuquerque, Jean-François Gagnon, Sébastien Tremblay, Tiago H. Falk
2019	—	`conf`	Self-Supervised Representation Learning from Electroencephalography Signals. MLSP Hubert J. Banville, Graeme Moffat, Isabela Albuquerque, Denis-Alexander Engemann, Aapo Hyvärinen, Alexandre Gramfort
2019	J	`jnl`	Self-supervised representation learning from electroencephalography signals. CoRR Hubert J. Banville, Isabela Albuquerque, Aapo Hyvärinen, Graeme Moffat, Denis-Alexander Engemann, Alexandre Gramfort
2018	—	`conf`	Multimodal Assessment of Human Innovation Perception Based on Eye Tracking, Electroencephalography and Electrocardiography. CCECE Isabela Albuquerque, João Monteiro, Tiago H. Falk, Vuk Pavlovic, Ferdin Ephrem, Diana Lucaci
2018	B	`conf`	On the Analysis of EEG Features for Mental Workload Assessment During Physical Activity. SMC Isabela Albuquerque, Abhishek Tiwari, Jean-François Gagnon, Daniel Lafond, Mark Parent, Sébastien Tremblay, Tiago H. Falk
2018	J	`jnl`	Online Adaptative Curriculum Learning for GANs. CoRR Thang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm
2017	B	`conf`	EEG coupling features: Towards mental workload measurement based on wearables. SMC Alexandre Drouin-Picaro, Isabela Albuquerque, Jean-François Gagnon, Daniel Lafond, Tiago H. Falk