EEG coupling features: Towards mental workload measurement based on wearables. - Alexandre Drouin-Picaro; Isabela Albuquerque; Jean-François Gagnon; Daniel Lafond; Tiago H. Falk (SMC, 2017)

Multimodal Assessment of Human Innovation Perception Based on Eye Tracking, Electroencephalography and Electrocardiography. - Isabela Albuquerque; João Monteiro 002; Tiago H. Falk; Vuk Pavlovic; Ferdin Ephrem; Diana Lucaci (CCECE, 2018)

On the Analysis of EEG Features for Mental Workload Assessment During Physical Activity. - Isabela Albuquerque; Abhishek Tiwari 003; Jean-François Gagnon; Daniel Lafond; Mark Parent; Sébastien Tremblay; Tiago H. Falk (SMC, 2018)

Online Adaptative Curriculum Learning for GANs. - Thang Doan; João Monteiro 002; Isabela Albuquerque; Bogdan Mazoure; Audrey Durand; Joelle Pineau; R. Devon Hjelm (CoRR, 2018)

On-Line Adaptative Curriculum Learning for GANs. - Thang Doan; João Monteiro 002; Isabela Albuquerque; Bogdan Mazoure; Audrey Durand; Joelle Pineau; R. Devon Hjelm (AAAI, 2019)

AMA: An Open-source Amplitude Modulation Analysis Toolkit for Signal Processing Applications. - Raymundo Cassani; Isabela Albuquerque; João Monteiro 002; Tiago H. Falk (GlobalSIP, 2019)

Multi-objective training of Generative Adversarial Networks with multiple discriminators. - Isabela Albuquerque; João Monteiro 002; Thang Doan; Breandan Considine; Tiago H. Falk; Ioannis Mitliagkas (ICML, 2019)

Self-Supervised Representation Learning from Electroencephalography Signals. - Hubert J. Banville; Graeme Moffat; Isabela Albuquerque; Denis-Alexander Engemann; Aapo Hyvärinen; Alexandre Gramfort (MLSP, 2019)

Fusion of Spectral and Spectro-Temporal EEG Features for Mental Workload Assessment Under Different Levels of Physical Activity. - Isabela Albuquerque; Olivier Rosanne; Jean-François Gagnon; Sébastien Tremblay; Tiago H. Falk (NER, 2019)

Performance Comparison of Automated EEG Enhancement Algorithms for Mental Workload Assessment of Ambulant Users. - Olivier Rosanne; Isabela Albuquerque; Jean-François Gagnon; Sébastien Tremblay; Tiago H. Falk (NER, 2019)

Cross-Subject Statistical Shift Estimation for Generalized Electroencephalography-based Mental Workload Assessment. - Isabela Albuquerque; João Monteiro 002; Olivier Rosanne; Abhishek Tiwari 003; Jean-François Gagnon; Tiago H. Falk (SMC, 2019)

Generalizable Adversarial Examples Detection Based on Bi-model Decision Mismatch. - João Monteiro 002; Isabela Albuquerque; Zahid Akhtar; Tiago H. Falk (SMC, 2019)

A Multimodal Approach to Improve the Robustness of Physiological Stress Prediction During Physical Activity. - Mark Parent; Abhishek Tiwari 003; Isabela Albuquerque; Jean-François Gagnon; Daniel Lafond; Sébastien Tremblay; Tiago H. Falk (SMC, 2019)

Mental Workload Assessment During Physical Activity Using Non-linear Movement Artefact Robust Electroencephalography Features. - Abhishek Tiwari 003; Isabela Albuquerque; Jean-François Gagnon; Daniel Lafond; Mark Parent; Sébastien Tremblay; Tiago H. Falk (SMC, 2019)

Deep learning-based electroencephalography analysis: a systematic review. - Yannick Roy; Hubert J. Banville; Isabela Albuquerque; Alexandre Gramfort; Tiago H. Falk; Jocelyn Faubert (CoRR, 2019)

Learning to navigate image manifolds induced by generative adversarial networks for unsupervised video generation. - Isabela Albuquerque; João Monteiro 002; Tiago H. Falk (CoRR, 2019)

Adversarial target-invariant representation learning for domain generalization. - Isabela Albuquerque; João Monteiro 002; Tiago H. Falk; Ioannis Mitliagkas (CoRR, 2019)

Multi-Scale Heart Beat Entropy Measures for Mental Workload Assessment of Ambulant Users. - Abhishek Tiwari 003; Isabela Albuquerque; Mark Parent; Jean-François Gagnon; Daniel Lafond; Sébastien Tremblay; Tiago H. Falk (Entropy, 2019)

An end-to-end approach for the verification problem: learning the right distance. - João Monteiro 002; Isabela Albuquerque; Jahangir Alam 001; R. Devon Hjelm; Tiago H. Falk (ICML, 2020)

Improving out-of-distribution generalization via multi-task self-supervised pretraining. - Isabela Albuquerque; Nikhil Naik 002; Junnan Li 001; Nitish Shirish Keskar; Richard Socher (CoRR, 2020)

Discovering Bugs in Vision Models using Off-the-shelf Image Generation and Captioning. - Olivia Wiles; Isabela Albuquerque; Sven Gowal (CoRR, 2022)

Estimating distribution shifts for predicting cross-subject generalization in electroencephalography-based mental workload assessment. - Isabela Albuquerque; João Monteiro 002; Olivier Rosanne; Tiago H. Falk (Frontiers Artif. Intell., 2022)

Generative models improve fairness of medical classifiers under distribution shifts. - 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 (CoRR, 2023)

Evaluating Model Bias Requires Characterizing its Mistakes. - Isabela Albuquerque; Jessica Schrouff; David Warde-Farley; Ali Taylan Cemgil; Sven Gowal; Olivia Wiles (ICML, 2024)

Evaluating Numerical Reasoning in Text-to-Image Models. - Ivana Kajic; Olivia Wiles; Isabela Albuquerque; Matthias Bauer; Su Wang 001; Jordi Pont-Tuset; Aida Nematzadeh (NeurIPS, 2024)

Mind the Graph When Balancing Data for Fairness or Robustness. - Jessica Schrouff; Alexis Bellot; Amal Rannen-Triki; Alan Malek; Isabela Albuquerque; Arthur Gretton; Alexander D'Amour; Silvia Chiappa (NeurIPS, 2024)

Revisiting Text-to-Image Evaluation with Gecko: On Metrics, Prompts, and Human Ratings. - Olivia Wiles; Chuhan Zhang; Isabela Albuquerque; Ivana Kajic; Su Wang 001; Emanuele Bugliarello; Yasumasa Onoe; Chris Knutsen; Cyrus Rashtchian; Jordi Pont-Tuset; Aida Nematzadeh (CoRR, 2024)

Imagen 3. - Jason Baldridge; Jakob Bauer; Mukul Bhutani; Nicole Brichtova; Andrew Bunner; Kelvin Chan; Yichang Chen; Sander Dieleman; Yuqing Du; Zach Eaton-Rosen; Hongliang Fei; Nando de Freitas; et al. (CoRR, 2024)

Century: A Framework and Dataset for Evaluating Historical Contextualisation of Sensitive Images. - Canfer Akbulut; Kevin Robinson; Maribeth Rauh; Isabela Albuquerque; Olivia Wiles; Laura Weidinger; Verena Rieser; Yana Hasson; Nahema Marchal; Iason Gabriel; William Isaac 001; Lisa Anne Hendricks (ICLR, 2025)

Revisiting text-to-image evaluation with Gecko: on metrics, prompts, and human rating. - Olivia Wiles; Chuhan Zhang; Isabela Albuquerque; Ivana Kajic; Su Wang 001; Emanuele Bugliarello; Yasumasa Onoe; Pinelopi Papalampidi; Ira Ktena; Christopher Knutsen; Cyrus Rashtchian; Anant Nawalgaria; et al. (ICLR, 2025)