Léonard Boussioux

25 papers A* 4B 1C 3Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Probing Neural TSP Representations for Prescriptive Decision Support. CoRR Reuben Narad, Léonard Boussioux, Michael Wagner
2025	A*	`conf`	Enhancing Decision Making Through the Integration of Large Language Models and Operations Research Optimization. AAAI Segev Wasserkrug, Léonard Boussioux, Dick den Hertog, Farzaneh Mirzazadeh, S. Ilker Birbil, Jannis Kurtz, Donato Maragno
2025	J	`jnl`	Mechanistic Interpretability for Neural TSP Solvers. CoRR Reuben Narad, Léonard Boussioux, Michael Wagner
2025	C	`conf`	Narrative AI and the Human-AI Oversight Paradox in Evaluating Early-Stage Innovations. ICIS Jacquelin Lane, Léonard Boussioux, Charles Ayoubi, Yinghao Chen, Pei-Hsin Wang, Camila Lin, Rebecca Spens, Pooja Wagh
2025	J	`jnl`	SOLID: a Framework of Synergizing Optimization and LLMs for Intelligent Decision-Making. CoRR Yinsheng Wang, Tario G. You, Léonard Boussioux, Shan Liu
2025	C	`conf`	Socratic Iterative Reasoning: Enhancing LLM Decision-Making in the Beer Game Supply Chain. ICIS Léonard Boussioux, Andrew Chen, Ming Fan, Apurva Jain
2024	J	`jnl`	From Large Language Models and Optimization to Decision Optimization CoPilot: A Research Manifesto. CoRR Segev Wasserkrug, Léonard Boussioux, Dick den Hertog, Farzaneh Mirzazadeh, S. Ilker Birbil, Jannis Kurtz, Donato Maragno
2024	J	`jnl`	Holistic deep learning. Mach. Learn. Dimitris Bertsimas, Kimberly Villalobos Carballo, Léonard Boussioux, Michael Lingzhi Li, Alex Paskov, Ivan S. Paskov
2024	C	`conf`	The Narrative AI Advantage? A Field Experiment on Generative AI-Augmented Evaluations of Early-Stage Innovations. ICIS Charles Ayoubi, Léonard Boussioux, Yinghao Chen, Justin Ho, Katherine Jackson, Jacquelin Lane, Camila Lin, Rebecca Spens
2023	J	`jnl`	Ensemble Modeling for Time Series Forecasting: an Adaptive Robust Optimization Approach. CoRR Dimitris Bertsimas, Léonard Boussioux
2023	J	`jnl`	Reducing Air Pollution through Machine Learning. CoRR Dimitris Bertsimas, Léonard Boussioux, Cynthia Zeng
2022	J	`jnl`	Integrated multimodal artificial intelligence framework for healthcare applications. npj Digit. Medicine Luis R. Soenksen, Yu Ma, Cynthia Zeng, Léonard Boussioux, Kimberly Villalobos Carballo, Liangyuan Na, Holly M. Wiberg, Michael Lingzhi Li, Ignacio Fuentes, Dimitris Bertsimas
2022	J	`jnl`	TabText: a Systematic Approach to Aggregate Knowledge Across Tabular Data Structures. CoRR Dimitris Bertsimas, Kimberly Villalobos Carballo, Yu Ma, Liangyuan Na, Léonard Boussioux, Cynthia Zeng, Luis R. Soenksen, Ignacio Fuentes
2021	B	`conf`	Combating False Negatives in Adversarial Imitation Learning. IJCNN Konrad Zolna, Chitwan Saharia, Léonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Yoshua Bengio
2021	J	`jnl`	Geo-Spatiotemporal Features and Shape-Based Prior Knowledge for Fine-grained Imbalanced Data Classification. CoRR Charles A. Kantor, Marta Skreta, Brice Rauby, Léonard Boussioux, Emmanuel Jehanno, Alexandra Luccioni, David Rolnick, Hugues Talbot
2021	A*	`conf`	Gradient-Based Localization and Spatial Attention for Confidence Measure in Fine-Grained Recognition using Deep Neural Networks. AAAI Charles A. Kantor, Léonard Boussioux, Brice Rauby, Hugues Talbot
2021	J	`jnl`	Holistic Deep Learning. CoRR Dimitris Bertsimas, Léonard Boussioux, Kimberly Villalobos Carballo, Michael Lingzhi Li, Alex Paskov, Ivan S. Paskov
2021	A*	`conf`	Over-MAP: Structural Attention Mechanism and Automated Semantic Segmentation Ensembled for Uncertainty Prediction. AAAI Charles A. Kantor, Léonard Boussioux, Brice Rauby, Hugues Talbot
2020	—	`conf`	Asymptotic Cross-Entropy Weighting and Guided-Loss in Supervised Hierarchical Setting using Deep Attention Network. AI4SG@AAAI Fall Symposium Charles A. Kantor, Brice Rauby, Léonard Boussioux, Emmanuel Jehanno, André-Philippe Drapeau Picard, Maxim Larrivée, Hugues Talbot
2020	A*	`conf`	Combating False Negatives in Adversarial Imitation Learning (Student Abstract). AAAI Konrad Zolna, Chitwan Saharia, Léonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Yoshua Bengio
2020	J	`jnl`	Combating False Negatives in Adversarial Imitation Learning. CoRR Konrad Zolna, Chitwan Saharia, Léonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Yoshua Bengio
2020	J	`jnl`	Hurricane Forecasting: A Novel Multimodal Machine Learning Framework. CoRR Léonard Boussioux, Cynthia Zeng, Théo Guénais, Dimitris Bertsimas
2020	J	`jnl`	oIRL: Robust Adversarial Inverse Reinforcement Learning with Temporally Extended Actions. CoRR David Venuto, Jhelum Chakravorty, Léonard Boussioux, Junhao Wang, Gavin McCracken, Doina Precup
2019	J	`jnl`	Avoidance Learning Using Observational Reinforcement Learning. CoRR David Venuto, Léonard Boussioux, Junhao Wang, Rola Dali, Jhelum Chakravorty, Yoshua Bengio, Doina Precup
2019	J	`jnl`	InsectUp: Crowdsourcing Insect Observations to Assess Demographic Shifts and Improve Classification. CoRR Léonard Boussioux, Tomás Giro-Larraz, Charles Guille-Escuret, Mehdi Cherti, Balázs Kégl