Isabela Albuquerque

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 31

Top Topics

Image Generation

Invariant Representation

Scanned Documents

Physical Activity

Top Venues

Publications

Ivana Kajic, Olivia Wiles, Isabela Albuquerque, Matthias Bauer, Su Wang, Jordi Pont-Tuset, Aida Nematzadeh
Evaluating Numerical Reasoning in Text-to-Image Models. CoRR (2024)
Olivia Wiles, Chuhan Zhang, Isabela Albuquerque, Ivana Kajic, Su Wang, Emanuele Bugliarello, Yasumasa Onoe, Chris Knutsen, Cyrus Rashtchian, Jordi Pont-Tuset, Aida Nematzadeh
Revisiting Text-to-Image Evaluation with Gecko: On Metrics, Prompts, and Human Ratings. CoRR (2024)
Jessica Schrouff, Alexis Bellot, Amal Rannen-Triki, Alan Malek, Isabela Albuquerque, Arthur Gretton, Alexander D'Amour, Silvia Chiappa
Mind the Graph When Balancing Data for Fairness or Robustness. CoRR (2024)
Isabela Albuquerque, Jessica Schrouff, David Warde-Farley, A. Taylan Cemgil, Sven Gowal, Olivia Wiles
Evaluating Model Bias Requires Characterizing its Mistakes. CoRR (2024)
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
Generative models improve fairness of medical classifiers under distribution shifts. CoRR (2023)
Olivia Wiles, Isabela Albuquerque, Sven Gowal
Discovering Bugs in Vision Models using Off-the-shelf Image Generation and Captioning. CoRR (2022)
Isabela Albuquerque, João Monteiro, Olivier Rosanne, Tiago H. Falk
Estimating distribution shifts for predicting cross-subject generalization in electroencephalography-based mental workload assessment. Frontiers Artif. Intell. 5 (2022)
João Monteiro, Isabela Albuquerque, Md. Jahangir Alam, R. Devon Hjelm, Tiago H. Falk
An end-to-end approach for the verification problem: learning the right distance. CoRR (2020)
Isabela Albuquerque, Nikhil Naik, Junnan Li, Nitish Shirish Keskar, Richard Socher
Improving out-of-distribution generalization via multi-task self-supervised pretraining. CoRR (2020)
João Monteiro, Isabela Albuquerque, Md. Jahangir Alam, R. Devon Hjelm, Tiago H. Falk
An end-to-end approach for the verification problem: learning the right distance. ICML (2020)
Isabela Albuquerque, João Monteiro, Thang Doan, Breandan Considine, Tiago H. Falk, Ioannis Mitliagkas
Multi-objective training of Generative Adversarial Networks with multiple discriminators. CoRR (2019)
Mark Parent, Abhishek Tiwari, Isabela Albuquerque, Jean-François Gagnon, Daniel Lafond, Sébastien Tremblay, Tiago H. Falk
A Multimodal Approach to Improve the Robustness of Physiological Stress Prediction During Physical Activity. SMC (2019)
Raymundo Cassani, Isabela Albuquerque, João Monteiro, Tiago H. Falk
AMA: An Open-source Amplitude Modulation Analysis Toolkit for Signal Processing Applications. GlobalSIP (2019)
Abhishek Tiwari, Isabela Albuquerque, Mark Parent, Jean-François Gagnon, Daniel Lafond, Sébastien Tremblay, Tiago H. Falk
Multi-Scale Heart Beat Entropy Measures for Mental Workload Assessment of Ambulant Users. Entropy 21 (8) (2019)
Hubert J. Banville, Isabela Albuquerque, Aapo Hyvärinen, Graeme Moffat, Denis-Alexander Engemann, Alexandre Gramfort
Self-supervised representation learning from electroencephalography signals. CoRR (2019)
Isabela Albuquerque, João Monteiro, Olivier Rosanne, Abhishek Tiwari, Jean-François Gagnon, Tiago H. Falk
Cross-Subject Statistical Shift Estimation for Generalized Electroencephalography-based Mental Workload Assessment. SMC (2019)
Olivier Rosanne, Isabela Albuquerque, Jean-François Gagnon, Sébastien Tremblay, Tiago H. Falk
Performance Comparison of Automated EEG Enhancement Algorithms for Mental Workload Assessment of Ambulant Users. NER (2019)
Yannick Roy, Hubert J. Banville, Isabela Albuquerque, Alexandre Gramfort, Tiago H. Falk, Jocelyn Faubert
Deep learning-based electroencephalography analysis: a systematic review. CoRR (2019)
Isabela Albuquerque, João Monteiro, Thang Doan, Breandan Considine, Tiago H. Falk, Ioannis Mitliagkas
Multi-objective training of Generative Adversarial Networks with multiple discriminators. ICML (2019)
João Monteiro, Isabela Albuquerque, Zahid Akhtar, Tiago H. Falk
Generalizable Adversarial Examples Detection Based on Bi-model Decision Mismatch. SMC (2019)
Abhishek Tiwari, Isabela Albuquerque, Jean-François Gagnon, Daniel Lafond, Mark Parent, Sébastien Tremblay, Tiago H. Falk
Mental Workload Assessment During Physical Activity Using Non-linear Movement Artefact Robust Electroencephalography Features. SMC (2019)
Hubert J. Banville, Graeme Moffat, Isabela Albuquerque, Denis-Alexander Engemann, Aapo Hyvärinen, Alexandre Gramfort
Self-Supervised Representation Learning from Electroencephalography Signals. MLSP (2019)
Isabela Albuquerque, João Monteiro, Tiago H. Falk
Learning to navigate image manifolds induced by generative adversarial networks for unsupervised video generation. CoRR (2019)
Isabela Albuquerque, João Monteiro, Olivier Rosanne, Abhishek Tiwari, Jean-François Gagnon, Tiago H. Falk
Cross-Subject Statistical Shift Estimation for Generalized Electroencephalography-based Mental Workload Assessment. CoRR (2019)
Isabela Albuquerque, João Monteiro, Tiago H. Falk, Ioannis Mitliagkas
Adversarial target-invariant representation learning for domain generalization. CoRR (2019)
Isabela Albuquerque, Olivier Rosanne, Jean-François Gagnon, Sébastien Tremblay, Tiago H. Falk
Fusion of Spectral and Spectro-Temporal EEG Features for Mental Workload Assessment Under Different Levels of Physical Activity. NER (2019)
Thang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm
On-Line Adaptative Curriculum Learning for GANs. AAAI (2019)
Isabela Albuquerque, Abhishek Tiwari, Jean-François Gagnon, Daniel Lafond, Mark Parent, Sébastien Tremblay, Tiago H. Falk
On the Analysis of EEG Features for Mental Workload Assessment During Physical Activity. SMC (2018)
Thang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm
Online Adaptative Curriculum Learning for GANs. CoRR (2018)
Isabela Albuquerque, João Monteiro, Tiago H. Falk, Vuk Pavlovic, Ferdin Ephrem, Diana Lucaci
Multimodal Assessment of Human Innovation Perception Based on Eye Tracking, Electroencephalography and Electrocardiography. CCECE (2018)
Alexandre Drouin-Picaro, Isabela Albuquerque, Jean-François Gagnon, Daniel Lafond, Tiago H. Falk
EEG coupling features: Towards mental workload measurement based on wearables. SMC (2017)