Research

• Integrated Multimodal Artificial Intelligence Framework for Healthcare Applications

L. Soenksen*, Y. Ma*, C. Zeng*, L. Boussioux*, K. Carballo*, L. Na*, H. Wiberg, M. Li, I. Fuentes, D. Bertsimas

npj Nature Digital Medicine, 2022, 5 (1), 1-10 (2022)

• From Predictions to Prescriptions: A Data-Driven Response to COVID-19

(alphabetical) D. Bertsimas, L. Boussioux, R. Cory Wright, A. Delarue, V. Digalakis Jr., A. Jacquillat, et al.

Health Care Management Science, 24, 253–272 (2020)

• Automated Segmentation of Sacral Chordomas Tumors and Surrounding Muscles Using Deep Learning Ensemble

L. Boussioux*, Y. Ma*, N. Thomas, D. Bertsimas, et al.

International Journal of Radiation Oncology (2023)

Working Papers and Preprints

• From Large Language Models and Optimization to Decision Optimization CoPilot: A Research Manifesto

S. Wasserkrug, L. Boussioux, D. den Hertog, F. Mirzazadeh, I. Birbil, J. Kurtz, D. Maragno

Preprint, 2023

• Ensemble Modeling for Time Series Forecasting: an Adaptive Robust Optimization Approach

(alphabetical) D. Bertsimas, L. Boussioux

Preprint, R&R at Journal of Machine Learning Research, 2023

• Reducing Air Pollution through Machine Learning

(alphabetical) D. Bertsimas, L. Boussioux, C. Zeng

Preprint, R&R at Manufacturing & Service Operations Management, 2023

• TabText: a Systematic Approach to Aggregate Knowledge Across Tabular Data Structures 

D. Bertsimas, K. Carballo, Y. Ma, I. Na, L. Boussioux, C. Zeng, L. Soenksen, I. Fuentes 

Preprint, Under review at Nature Machine Intelligence, 2023

Peer-reviewed Conference Publications

• Combating False Negatives in Adversarial Imitation Learning 

K. Zolna*, C. Saharia*, L. Boussioux*, D.Y.T. Hui, M. Chevalier-Boisvert, D. Bahdanau, Y. Bengio

International Joint Conference on Neural Networks (IJCNN), pp. 1-9

Appeared at NeurIPS, Deep Reinforcement Learning Workshop, 2020

• Gradient-Based Localization and Spatial Attention for Confidence Measure in Fine-Grained Recognition using Deep Neural Networks

C. Kantor, L. Boussioux, B. Rauby, H. Talbot

Proceedings of the AAAI Conference on Artificial Intelligence, 35(18), 15807-15808

• Over-MAP: Structural Attention Mechanism and Automated Semantic Segmentation Ensembled for Uncertainty Prediction

C. Kantor, L. Boussioux, B. Rauby, H. Talbot

Proceedings of the AAAI Conference on Artificial Intelligence

Peer-reviewed Workshop Publications

• Multimodal Artificial Intelligence for Wildlife Analytics

L. Boussioux*, C. Kantor*,  M. Skreta*, M. Bunsen, R. Solis, AP Drapeau Picard, A. Luccioni, H. Talbot, M. Larrivée, D. Rolnick

Computer Vision and Pattern Recognition 2022 - CV4Animals: Computer Vision for Animal Behavior

• Asymptotic cross-entropy weighting and guided-loss in supervised hierarchical setting using deep attention network

C. Kantor, L. Boussioux, E. Jehanno, H. Talbot

AAAI Fall Symposium on AI for Social Good

• Geo-Spatiotemporal Features and Shape-Based Prior Knowledge for Fine-grained Imbalanced Data Classification

C. Kantor, M. Skreta, B. Rauby, L. Boussioux, E. Jehanno, A. Luccioni, D. Rolnick

IJCAI 2021 Workshop on AI for Social Good

• InsectUp: Crowdsourcing Insect Observations to Assess Demographic Shifts and Improve Classification

L. Boussioux, T. Giro-Larraz, C. Guille-Escuret, M. Cherti, B. Kégl

ICML 2019,  Workshop on AI for Social Good ; ICCV 2019, Workshop on Wildlife Conservation