Léonard Boussioux

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Temporally Extended

Imitation Learning

Top Venues

npj Digit. Medicine

Publications

Segev Wasserkrug, Léonard Boussioux, Dick den Hertog, Farzaneh Mirzazadeh, S. Ilker Birbil, Jannis Kurtz, Donato Maragno
From Large Language Models and Optimization to Decision Optimization CoPilot: A Research Manifesto. CoRR (2024)
Dimitris Bertsimas, Kimberly Villalobos Carballo, Léonard Boussioux, Michael Lingzhi Li, Alex Paskov, Ivan S. Paskov
Holistic deep learning. Mach. Learn. 113 (1) (2024)
Dimitris Bertsimas, Léonard Boussioux
Ensemble Modeling for Time Series Forecasting: an Adaptive Robust Optimization Approach. CoRR (2023)
Dimitris Bertsimas, Léonard Boussioux, Cynthia Zeng
Reducing Air Pollution through Machine Learning. CoRR (2023)
Dimitris Bertsimas, Kimberly Villalobos Carballo, Yu Ma, Liangyuan Na, Léonard Boussioux, Cynthia Zeng, Luis R. Soenksen, Ignacio Fuentes
TabText: a Systematic Approach to Aggregate Knowledge Across Tabular Data Structures. CoRR (2022)
Luis R. Soenksen, Yu Ma, Cynthia Zeng, Léonard Boussioux, Kimberly Villalobos Carballo, Liangyuan Na, Holly M. Wiberg, Michael Lingzhi Li, Ignacio Fuentes, Dimitris Bertsimas
Integrated multimodal artificial intelligence framework for healthcare applications. npj Digit. Medicine 5 (2022)
Charles A. Kantor, Léonard Boussioux, Brice Rauby, Hugues Talbot
Gradient-Based Localization and Spatial Attention for Confidence Measure in Fine-Grained Recognition using Deep Neural Networks. AAAI (2021)
Dimitris Bertsimas, Léonard Boussioux, Kimberly Villalobos Carballo, Michael Lingzhi Li, Alex Paskov, Ivan S. Paskov
Holistic Deep Learning. CoRR (2021)
Charles A. Kantor, Léonard Boussioux, Brice Rauby, Hugues Talbot
Over-MAP: Structural Attention Mechanism and Automated Semantic Segmentation Ensembled for Uncertainty Prediction. AAAI (2021)
Charles A. Kantor, Marta Skreta, Brice Rauby, Léonard Boussioux, Emmanuel Jehanno, Alexandra Luccioni, David Rolnick, Hugues Talbot
Geo-Spatiotemporal Features and Shape-Based Prior Knowledge for Fine-grained Imbalanced Data Classification. CoRR (2021)
Konrad Zolna, Chitwan Saharia, Léonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Yoshua Bengio
Combating False Negatives in Adversarial Imitation Learning. IJCNN (2021)
David Venuto, Jhelum Chakravorty, Léonard Boussioux, Junhao Wang, Gavin McCracken, Doina Precup
oIRL: Robust Adversarial Inverse Reinforcement Learning with Temporally Extended Actions. CoRR (2020)
Léonard Boussioux, Cynthia Zeng, Théo Guénais, Dimitris Bertsimas
Hurricane Forecasting: A Novel Multimodal Machine Learning Framework. CoRR (2020)
Konrad Zolna, Chitwan Saharia, Léonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Yoshua Bengio
Combating False Negatives in Adversarial Imitation Learning (Student Abstract). AAAI (2020)
Konrad Zolna, Chitwan Saharia, Léonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Yoshua Bengio
Combating False Negatives in Adversarial Imitation Learning. CoRR (2020)
Charles A. Kantor, Brice Rauby, Léonard Boussioux, Emmanuel Jehanno, André-Philippe Drapeau Picard, Maxim Larrivée, Hugues Talbot
Asymptotic Cross-Entropy Weighting and Guided-Loss in Supervised Hierarchical Setting using Deep Attention Network. AI4SG@AAAI Fall Symposium (2020)
David Venuto, Léonard Boussioux, Junhao Wang, Rola Dali, Jhelum Chakravorty, Yoshua Bengio, Doina Precup
Avoidance Learning Using Observational Reinforcement Learning. CoRR (2019)
Léonard Boussioux, Tomás Giro-Larraz, Charles Guille-Escuret, Mehdi Cherti, Balázs Kégl
InsectUp: Crowdsourcing Insect Observations to Assess Demographic Shifts and Improve Classification. CoRR (2019)