Character Recognition Experiments Using Unipen Data. - Marc Parizeau; Alexandre Lemieux; Christian Gagné 001 (ICDAR, 2001)

Lens System Design And Re-engineering With Evolutionary Algorithms. - Julie Beaulieu; Christian Gagné 001; Marc Parizeau (GECCO, 2002)

Open BEAGLE: A New C++ Evolutionary Computation Framework. - Christian Gagné 001; Marc Parizeau (GECCO, 2002)

Open BEAGLE: A New Versatile C++ Framework for Evolutionary Computation. - Christian Gagné 001; Marc Parizeau (GECCO Late Breaking Papers, 2002)

Genetic engineering of handwriting representations. - Alexandre Lemieux; Christian Gagné 001; Marc Parizeau (IWFHR, 2002)

The Master-Slave Architecture for Evolutionary Computations Revisited. - Christian Gagné 001; Marc Parizeau; Marc Dubreuil (GECCO, 2003)

Resource-Aware Parameterizations of EDA. - Sylvain Gelly; Olivier Teytaud; Christian Gagné 001 (IEEE Congress on Evolutionary Computation, 2006)

Genetic Programming, Validation Sets, and Parsimony Pressure. - Christian Gagné 001; Marc Schoenauer; Marc Parizeau; Marco Tomassini (EuroGP, 2006)

Genetic Programming for Kernel-Based Learning with Co-evolving Subsets Selection. - Christian Gagné 001; Marc Schoenauer; Michèle Sebag; Marco Tomassini (PPSN, 2006)

Genericity in Evolutionary Computation Software Tools: Principles and Case-study. - Christian Gagné 001; Marc Parizeau (Int. J. Artif. Intell. Tools, 2006)

Genetic engineering of hierarchical fuzzy regional representations for handwritten character recognition. - Christian Gagné 001; Marc Parizeau (Int. J. Document Anal. Recognit., 2006)

Analysis of a master-slave architecture for distributed evolutionary computations. - Marc Dubreuil; Christian Gagné 001; Marc Parizeau (IEEE Trans. Syst. Man Cybern. Part B, 2006)

Ensemble learning for free with evolutionary algorithms? - Christian Gagné 001; Michèle Sebag; Marc Schoenauer; Marco Tomassini (GECCO, 2007)

Coevolution of Nearest Neighbor Classifiers. - Christian Gagné 001; Marc Parizeau (Int. J. Pattern Recognit. Artif. Intell., 2007)

Human-competitive lens system design with evolution strategies. - Christian Gagné 001; Julie Beaulieu; Marc Parizeau; Simon Thibault (Appl. Soft Comput., 2008)

A Statistical Learning Perspective of Genetic Programming. - Nur Merve Amil; Nicolas Bredèche; Christian Gagné 001; Sylvain Gelly; Marc Schoenauer; Olivier Teytaud (EuroGP, 2009)

Co-evolutionary information gathering for a cooperative unmanned aerial vehicle team. - Jean Berger; Jens Happe; Christian Gagné 001; Martin Lau (FUSION, 2009)

Improving genetic algorithms performance via deterministic population shrinkage. - Juan Luis Jiménez Laredo; Carlos M. Fernandes 001; Juan Julián Merelo Guervós; Christian Gagné 001 (GECCO, 2009)

Optimizing low-discrepancy sequences with an evolutionary algorithm. - François-Michel De Rainville; Christian Gagné 001; Olivier Teytaud; Denis Laurendeau (GECCO, 2009)

Topography-Aware Sensor Deployment Optimization with CMA-ES. - Vahab Akbarzadeh; Albert Hung-Ren Ko; Christian Gagné 001; Marc Parizeau (PPSN (2), 2010)

SCHNAPS: a generic population-based simulator for public health purposes. - Audrey Durand; Christian Gagné 001; Marc-André Gardner; François Rousseau; Yves Giguère; Daniel Reinharz (SummerSim, 2010)

Bloat control in genetic programming with a histogram-based accept-reject method. - Marc-André Gardner; Christian Gagné 001; Marc Parizeau (GECCO (Companion), 2011)

Black-box optimization of sensor placement with elevation maps and probabilistic sensing models. - Vahab Akbarzadeh; Christian Gagné 001; Marc Parizeau; Mir Abolfazl Mostafavi (ROSE, 2011)

A GIS Based Wireless Sensor Network Coverage Estimation and Optimization: A Voronoi Approach. - Meysam Argany; Mir Abolfazl Mostafavi; Farid Karimipour; Christian Gagné 001 (Trans. Comput. Sci., 2011)

Multi-objective evolutionary optimization for generating ensembles of classifiers in the ROC space. - Julien-Charles Levesque; Audrey Durand; Christian Gagné 001; Robert Sabourin (GECCO, 2012)

DEAP: a python framework for evolutionary algorithms. - François-Michel De Rainville; Félix-Antoine Fortin; Marc-André Gardner; Marc Parizeau; Christian Gagné 001 (GECCO (Companion), 2012)

Co-adapting mobile sensor networks to maximize coverage in dynamic environments. - François-Michel De Rainville; Christian Gagné 001; Denis Laurendeau (GECCO (Companion), 2012)

DEAP: evolutionary algorithms made easy. - Félix-Antoine Fortin; François-Michel De Rainville; Marc-André Gardner; Marc Parizeau; Christian Gagné 001 (J. Mach. Learn. Res., 2012)

Evolutionary optimization of low-discrepancy sequences. - François-Michel De Rainville; Christian Gagné 001; Olivier Teytaud; Denis Laurendeau (ACM Trans. Model. Comput. Simul., 2012)

Population-Based Simulation for Public Health: Generic Software Infrastructure and Its Application to Osteoporosis. - Audrey Durand; Christian Gagné 001; Léon Nshimyumukiza; Mathieu Gagnon; François Rousseau; Yves Giguère; Daniel Reinharz (IEEE Trans. Syst. Man Cybern. Part A, 2012)

3D-PIC: Power Iteration Clustering for segmenting three-dimensional models. - Zahra Toony; Denis Laurendeau; Philippe Giguère; Christian Gagné 001 (3DTV-Conference, 2013)

ros4mat: A Matlab Programming Interface for Remote Operations of ROS-Based Robotic Devices in an Educational Context. - Yannick Hold-Geoffroy; Marc-André Gardner; Christian Gagné 001; Maxime Latulippe; Philippe Giguère (CRV, 2013)

Target Trajectory Prediction in PTZ Camera Networks. - Vahab Akbarzadeh; Christian Gagné 001; Marc Parizeau (CVPR Workshops, 2013)

Sequential emotion recognition using Latent-Dynamic Conditional Neural Fields. - Julien-Charles Levesque; Louis-Philippe Morency; Christian Gagné 001 (FG, 2013)

Evolutionary multiobjective optimization for selecting members of an ensemble streamflow forecasting model. - Darwin Brochero; Christian Gagné 001; François Anctil (GECCO, 2013)

Evolutionary computation for supervised learning. - Christian Gagné 001 (GECCO (Companion), 2013)

Estimation of distribution algorithm based on hidden Markov models for combinatorial optimization. - Marc-André Gardner; Christian Gagné 001; Marc Parizeau (GECCO (Companion), 2013)

Combinatorial optimization EDA using hidden Markov models. - Marc-André Gardner; Christian Gagné 001; Marc Parizeau (GECCO (Companion), 2013)

Sustainable cooperative coevolution with a multi-armed bandit. - François-Michel De Rainville; Michèle Sebag; Christian Gagné 001; Marc Schoenauer; Denis Laurendeau (GECCO, 2013)

Probabilistic Sensing Model for Sensor Placement Optimization Based on Line-of-Sight Coverage. - Vahab Akbarzadeh; Christian Gagné 001; Marc Parizeau; Meysam Argany; Mir Abolfazl Mostafavi (IEEE Trans. Instrum. Meas., 2013)

A novel mixed values k-prototypes algorithm with application to health care databases mining. - Ahmed Najjar; Christian Gagné 001; Daniel Reinharz (CICARE, 2014)

3D-NCuts: Adapting Normalized Cuts to 3D Triangulated Surface Segmentation. - Zahra Toony; Denis Laurendeau; Philippe Giguère; Christian Gagné 001 (GRAPP, 2014)

Efficient Sensor Placement Optimization Using Gradient Descent and Probabilistic Coverage. - Vahab Akbarzadeh; Julien-Charles Levesque; Christian Gagné 001; Marc Parizeau (Sensors, 2014)

Monocular 3D Human Pose Estimation with a Semi-supervised Graph-Based Method. - Mahdieh Abbasi; Hamid R. Rabiee 001; Christian Gagné 001 (3DV, 2015)

PGP2X: Principal Geometric Primitives Parameters Extraction. - Zahra Toony; Denis Laurendeau; Christian Gagné 001 (GRAPP, 2015)

Two-Step Heterogeneous Finite Mixture Model Clustering for Mining Healthcare Databases. - Ahmed Najjar; Christian Gagné 001; Daniel Reinharz (ICDM, 2015)

Multisensor placement in 3D environments via visibility estimation and derivative-free optimization. - François-Michel De Rainville; Jean-Philippe Mercier; Christian Gagné 001; Philippe Giguère; Denis Laurendeau (ICRA, 2015)

Kernel density estimation for target trajectory prediction. - Vahab Akbarzadeh; Christian Gagné 001; Marc Parizeau (IROS, 2015)

Controlling code growth by dynamically shaping the genotype size distribution. - Marc-André Gardner; Christian Gagné 001; Marc Parizeau (Genet. Program. Evolvable Mach., 2015)

Training subset selection in Hourly Ontario Energy Price forecasting using time series clustering-based stratification. - Karol Lina López Bedoya; Christian Gagné 001; Germán Castellanos-Domínguez; Mauricio Orozco-Alzate (Neurocomputing, 2015)

Context-Aware Local Optimization of Sensor Network Deployment. - Meysam Argany; Mir Abolfazl Mostafavi; Christian Gagné 001 (J. Sens. Actuator Networks, 2015)

Stream clustering of tweets. - Sophie Baillargeon; Simon Hallé; Christian Gagné 001 (ASONAM, 2016)

Sensor control for temporal coverage optimization. - Vahab Akbarzadeh; Christian Gagné 001; Marc Parizeau (CEC, 2016)

Bayesian Hyperparameter Optimization for Ensemble Learning. - Julien-Charles Levesque; Christian Gagné 001; Robert Sabourin (UAI, 2016)

Alternating Direction Method of Multipliers for Sparse Convolutional Neural Networks. - Farkhondeh Kiaee; Christian Gagné 001; Mahdieh Abbasi (CoRR, 2016)

A double-layer ELM with added feature selection ability using a sparse Bayesian approach. - Farkhondeh Kiaee; Christian Gagné 001; Hamid Sheikhzadeh (Neurocomputing, 2016)

Robustness to Adversarial Examples through an Ensemble of Specialists. - Mahdieh Abbasi; Christian Gagné 001 (ICLR (Workshop), 2017)

Bayesian optimization for conditional hyperparameter spaces. - Julien-Charles Levesque; Audrey Durand; Christian Gagné 001; Robert Sabourin (IJCNN, 2017)

Estimating Quality in User-Guided Multi-Objective Bandits Optimization. - Audrey Durand; Christian Gagné 001 (CoRR, 2017)

Query Completion Using Bandits for Engines Aggregation. - Audrey Durand; Jean-Alexandre Beaumont; Christian Gagné 001; Michel Lemay; Sébastien Paquet (CoRR, 2017)

Learning to predict indoor illumination from a single image. - Marc-André Gardner; Kalyan Sunkavalli; Ersin Yumer; Xiaohui Shen; Emiliano Gambaretto; Christian Gagné 001; Jean-François Lalonde (ACM Trans. Graph., 2017)

Learning to Become an Expert: Deep Networks Applied to Super-Resolution Microscopy. - Louis-Émile Robitaille; Audrey Durand; Marc-André Gardner; Christian Gagné 001; Paul De Koninck; Flavie Lavoie-Cardinal (AAAI, 2018)

Rating Super-Resolution Microscopy Images With Deep Learning. - Louis-Émile Robitaille; Audrey Durand; Marc-André Gardner; Christian Gagné 001; Paul De Koninck; Flavie Lavoie-Cardinal (AAAI, 2018)

Optimal Scheduling for Smart Charging of Electric Vehicles Using Dynamic Programming. - Karol Lina López Bedoya; Christian Gagné 001 (Canadian AI, 2018)

A two-step approach for mining patient treatment pathways in administrative healthcare databases. - Ahmed Najjar; Daniel Reinharz; Catherine Girouard; Christian Gagné 001 (Artif. Intell. Medicine, 2018)

Out-distribution training confers robustness to deep neural networks. - Mahdieh Abbasi; Christian Gagné 001 (CoRR, 2018)

Diversity regularization in deep ensembles. - Changjian Shui; Azadeh Sadat Mozafari; Jonathan Marek; Ihsen Hedhli; Christian Gagné 001 (CoRR, 2018)

Towards Dependable Deep Convolutional Neural Networks (CNNs) with Out-distribution Learning. - Arezoo Rajabi; Mahdieh Abbasi; Christian Gagné 001; Rakesh B. Bobba (CoRR, 2018)

Evaluating and Characterizing Incremental Learning from Non-Stationary Data. - Alejandro Cervantes; Christian Gagné 001; Pedro Isasi; Marc Parizeau (CoRR, 2018)

Controlling Over-generalization and its Effect on Adversarial Examples Generation and Detection. - Mahdieh Abbasi; Arezoo Rajabi; Azadeh Sadat Mozafari; Rakesh B. Bobba; Christian Gagné 001 (CoRR, 2018)

Accumulating Knowledge for Lifelong Online Learning. - Changjian Shui; Ihsen Hedhli; Christian Gagné 001 (CoRR, 2018)

A New Loss Function for Temperature Scaling to have Better Calibrated Deep Networks. - Azadeh Sadat Mozafari; Hugo Siqueira Gomes; Steeven Janny; Christian Gagné 001 (CoRR, 2018)

Learning of Image Dehazing Models for Segmentation Tasks. - Sébastien de Blois; Ihsen Hedhli; Christian Gagné 001 (EUSIPCO, 2019)

Deep Parametric Indoor Lighting Estimation. - Marc-André Gardner; Yannick Hold-Geoffroy; Kalyan Sunkavalli; Christian Gagné 001; Jean-François Lalonde (ICCV, 2019)

A Principled Approach for Learning Task Similarity in Multitask Learning. - Changjian Shui; Mahdieh Abbasi; Louis-Émile Robitaille; Boyu Wang 004; Christian Gagné 001 (IJCAI, 2019)

Unsupervised Temperature Scaling: Post-Processing Unsupervised Calibration of Deep Models Decisions. - Azadeh Sadat Mozafari; Hugo Siqueira Gomes; Wilson Leão; Christian Gagné 001 (CoRR, 2019)

A Novel Unsupervised Post-Processing Calibration Method for DNNS with Robustness to Domain Shift. - Azadeh Sadat Mozafari; Hugo Siqueira Gomes; Christian Gagné 001 (CoRR, 2019)

Demand-Side Management Using Deep Learning for Smart Charging of Electric Vehicles. - Karol Lina López Bedoya; Christian Gagné 001; Marc-André Gardner (IEEE Trans. Smart Grid, 2019)

Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Networks. - Mahdieh Abbasi; Arezoo Rajabi; Christian Gagné 001; Rakesh B. Bobba (Canadian AI, 2020)

Deep Active Learning: Unified and Principled Method for Query and Training. - Changjian Shui; Fan Zhou 006; Christian Gagné 001; Boyu Wang 004 (AISTATS, 2020)

Toward Metrics for Differentiating Out-of-Distribution Sets. - Mahdieh Abbasi; Changjian Shui; Arezoo Rajabi; Christian Gagné 001; Rakesh B. Bobba (ECAI, 2020)

Associative Alignment for Few-Shot Image Classification. - Arman Afrasiyabi; Jean-François Lalonde; Christian Gagné 001 (ECCV (5), 2020)

Input Dropout for Spatially Aligned Modalities. - Sébastien de Blois; Mathieu Garon; Christian Gagné 001; Jean-François Lalonde (ICIP, 2020)

Improving Policy-Capturing with Active Learning for Real-Time Decision Support. - Bénédicte Chatelais; Daniel Lafond; Alexandre Hains; Christian Gagné 001 (IHSI, 2020)

The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities. - Joel Lehman; Jeff Clune; Dusan Misevic; Christoph Adami; Lee Altenberg; Julie Beaulieu; Peter J. Bentley; Samuel Bernard; Guillaume Beslon; David M. Bryson; Nick Cheney; Patryk Chrabaszcz; et al. (Artif. Life, 2020)

Self-supervised Robust Object Detectors from Partially Labelled datasets. - Mahdieh Abbasi; Denis Laurendeau; Christian Gagné 001 (CoRR, 2020)

Beyond H-Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence. - Changjian Shui; Qi Chen 015; Jun Wen 001; Fan Zhou 006; Christian Gagné 001; Boyu Wang 004 (CoRR, 2020)

Persistent Mixture Model Networks for Few-Shot Image Classification. - Arman Afrasiyabi; Jean-François Lalonde; Christian Gagné 001 (CoRR, 2020)

Mixture-based Feature Space Learning for Few-shot Image Classification. - Arman Afrasiyabi; Jean-François Lalonde; Christian Gagné 001 (ICCV, 2021)

Aggregating From Multiple Target-Shifted Sources. - Changjian Shui; Zijian Li 001; Jiaqi Li 005; Christian Gagné 001; Charles X. Ling; Boyu Wang 004 (ICML, 2021)

Active Learning for Capturing Human Decision Policies in a Data Frugal Context. - Loïc Grossetête; Alexandre Marois; Bénédicte Chatelais; Christian Gagné 001; Daniel Lafond (LOD, 2021)

A Generative Model for Hallucinating Diverse Versions of Super Resolution Images. - Mohamed Abderrahmen Abid; Ihsen Hedhli; Christian Gagné 001 (CoRR, 2021)

Meta Learning Black-Box Population-Based Optimizers. - Hugo Siqueira Gomes; Benjamin Léger; Christian Gagné 001 (CoRR, 2021)

Image-to-Image Translation with Low Resolution Conditioning. - Mohamed Abderrahmen Abid; Ihsen Hedhli; Jean-François Lalonde; Christian Gagné 001 (CoRR, 2021)

Exploring polypharmacy with artificial intelligence: data analysis protocol. - Caroline Sirois; Richard Khoury; Audrey Durand; Pierre-Luc Déziel; Olga Bukhtiyarova; Yohann Chiu; Denis Talbot; Alexandre Bureau; Philippe Després; Christian Gagné 001; François Laviolette; Anne-Marie Savard; et al. (BMC Medical Informatics Decis. Mak., 2021)

Task Similarity Estimation Through Adversarial Multitask Neural Network. - Fan Zhou 006; Changjian Shui; Mahdieh Abbasi; Louis-Émile Robitaille; Boyu Wang 004; Christian Gagné 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Matching Feature Sets for Few-Shot Image Classification. - Arman Afrasiyabi; Hugo Larochelle; Jean-François Lalonde; Christian Gagné 001 (CVPR, 2022)

Fair Representation Learning through Implicit Path Alignment. - Changjian Shui; Qi Chen 015; Jiaqi Li 005; Boyu Wang 004; Christian Gagné 001 (ICML, 2022)

On Learning Fairness and Accuracy on Multiple Subgroups. - Changjian Shui; Gezheng Xu; Qi Chen 015; Jiaqi Li 005; Charles X. Ling; Tal Arbel; Boyu Wang 004; Christian Gagné 001 (NeurIPS, 2022)

Gap Minimization for Knowledge Sharing and Transfer. - Boyu Wang 004; Jorge A. Mendez; Changjian Shui; Fan Zhou 006; Di Wu 044; Christian Gagné 001; Eric Eaton (CoRR, 2022)

Evolving Domain Generalization. - William Wei Wang; Gezheng Xu; Ruizhi Pu; Jiaqi Li 005; Fan Zhou 006; Changjian Shui; Charles X. Ling; Christian Gagné 001; Boyu Wang 004 (CoRR, 2022)

A novel domain adaptation theory with Jensen-Shannon divergence. - Changjian Shui; Qi Chen 015; Jun Wen 001; Fan Zhou 006; Christian Gagné 001; Boyu Wang 004 (Knowl. Based Syst., 2022)

On the benefits of representation regularization in invariance based domain generalization. - Changjian Shui; Boyu Wang 004; Christian Gagné 001 (Mach. Learn., 2022)

Improved Robustness Against Adaptive Attacks With Ensembles and Error-Correcting Output Codes. - Thomas Philippon; Christian Gagné 001 (CoRR, 2023)

Domain Agnostic Image-to-image Translation using Low-Resolution Conditioning. - Mohamed Abderrahmen Abid; Arman Afrasiyabi; Ihsen Hedhli; Jean-François Lalonde; Christian Gagné 001 (CoRR, 2023)

Hessian Aware Low-Rank Weight Perturbation for Continual Learning. - Jiaqi Li 005; Rui Wang 121; Yuanhao Lai; Changjian Shui; Sabyasachi Sahoo; Charles X. Ling; Shichun Yang; Boyu Wang 004; Christian Gagné 001; Fan Zhou 006 (CoRR, 2023)

Filtering Pixel Latent Variables for Unmixing Volumetric Images. - Catherine Bouchard; Vincent Boulanger; Flavie Lavoie-Cardinal; Christian Gagné 001 (CoRR, 2023)

Gap Minimization for Knowledge Sharing and Transfer. - Boyu Wang 004; Jorge A. Mendez; Changjian Shui; Fan Zhou 006; Di Wu 044; Gezheng Xu; Christian Gagné 001; Eric Eaton (J. Mach. Learn. Res., 2023)

Lifelong Online Learning from Accumulated Knowledge. - Changjian Shui; William Wei Wang; Ihsen Hedhli; Chi Man Wong; Feng Wan 003; Boyu Wang 004; Christian Gagné 001 (ACM Trans. Knowl. Discov. Data, 2023)

Resolution enhancement with a task-assisted GAN to guide optical nanoscopy image analysis and acquisition. - Catherine Bouchard; Theresa Wiesner; Andréanne Deschênes; Anthony Bilodeau; Benoît Turcotte; Christian Gagné 001; Flavie Lavoie-Cardinal (Nat. Mac. Intell., 2023)

Towards More General Loss and Setting in Unsupervised Domain Adaptation. - Changjian Shui; Ruizhi Pu; Gezheng Xu; Jun Wen 001; Fan Zhou 006; Christian Gagné 001; Charles X. Ling; Boyu Wang 004 (IEEE Trans. Knowl. Data Eng., 2023)

Denoising autoencoder genetic programming: strategies to control exploration and exploitation in search. - David Wittenberg; Franz Rothlauf; Christian Gagné 001 (Genet. Program. Evolvable Mach., 2023)

Generalizing across Temporal Domains with Koopman Operators. - Qiuhao Zeng; Wei Wang 036; Fan Zhou 006; Gezheng Xu; Ruizhi Pu; Changjian Shui; Christian Gagné 001; Shichun Yang; Charles X. Ling; Boyu Wang 004 (AAAI, 2024)

Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers. - Jonas Ngnawé; Sabyasachi Sahoo; Yann Pequignot; Frédéric Precioso; Christian Gagné 001 (NeurIPS, 2024)

Analyzing Data Augmentation for Medical Images: A Case Study in Ultrasound Images. - Adam Tupper; Christian Gagné 001 (CoRR, 2024)

Layerwise Early Stopping for Test Time Adaptation. - Sabyasachi Sahoo; Mostafa ElAraby; Jonas Ngnawé; Yann Pequignot; Frédéric Precioso; Christian Gagné 001 (CoRR, 2024)

TrackPGD: A White-box Attack using Binary Masks against Robust Transformer Trackers. - Fatemeh Nourilenjan Nokabadi; Yann Batiste Pequignot; Jean-François Lalonde; Christian Gagné 001 (CoRR, 2024)

Adversarial Bounding Boxes Generation (ABBG) Attack against Visual Object Trackers. - Fatemeh Nourilenjan Nokabadi; Jean-François Lalonde; Christian Gagné 001 (CoRR, 2024)

Reproducibility Study on Adversarial Attacks Against Robust Transformer Trackers. - Fatemeh Nourilenjan Nokabadi; Jean-François Lalonde; Christian Gagné 001 (Trans. Mach. Learn. Res., 2024)

Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning. - Jiaqi Li 005; Yuanhao Lai; Rui Wang 121; Changjian Shui; Sabyasachi Sahoo; Charles X. Ling; Shichun Yang; Boyu Wang 004; Christian Gagné 001; Fan Zhou 006 (IEEE Trans. Knowl. Data Eng., 2024)

A Layer Selection Approach to Test Time Adaptation. - Sabyasachi Sahoo; Mostafa ElAraby; Jonas Ngnawé; Yann Batiste Pequignot; Frédéric Precioso; Christian Gagné 001 (AAAI, 2025)

Revisiting Data Augmentation for Ultrasound Images. - Adam Tupper; Christian Gagné 001 (Trans. Mach. Learn. Res., 2025)

Optimization-Induced Dynamics of Lipschitz Continuity in Neural Networks. - Róisín Luo; James McDermott; Christian Gagné 001; Qiang Sun; Colm O'Riordan (CoRR, 2025)

A Guide to Robust Generalization: The Impact of Architecture, Pre-training, and Optimization Strategy. - Maxime Heuillet; Rishika Bhagwatkar; Jonas Ngnawé; Yann Pequignot; Alexandre Larouche; Christian Gagné 001; Irina Rish; Ola Ahmad; Audrey Durand (CoRR, 2025)

Robust Fine-Tuning from Non-Robust Pretrained Models: Mitigating Suboptimal Transfer With Adversarial Scheduling. - Jonas Ngnawé; Maxime Heuillet; Sabyasachi Sahoo; Yann Pequignot; Ola Ahmad; Audrey Durand; Frédéric Precioso; Christian Gagné 001 (CoRR, 2025)

Personalized Federated Fine-Tuning of Vision Foundation Models for Healthcare. - Adam Tupper; Christian Gagné 001 (CoRR, 2025)