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Journal Articles
- 2024
[j2]Dimitris Bertsimas
, Kimberly Villalobos Carballo, Léonard Boussioux, Michael Lingzhi Li, Alex Paskov, Ivan S. Paskov:
Holistic deep learning. Mach. Learn. 113(1): 159-183 (2024)- 2022
- [j1]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)
Conference and Workshop Papers
- 2021
- [c5]Charles A. Kantor, Léonard Boussioux, Brice Rauby, Hugues Talbot:
Over-MAP: Structural Attention Mechanism and Automated Semantic Segmentation Ensembled for Uncertainty Prediction. AAAI 2021: 15316-15322 - [c4]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: 15807-15808 - [c3]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: 1-9 - 2020
- [c2]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: 13999-14000 - [c1]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
Informal and Other Publications
- 2024
- [i12]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 abs/2402.16269 (2024) - 2023
- [i11]Dimitris Bertsimas, Léonard Boussioux, Cynthia Zeng:
Reducing Air Pollution through Machine Learning. CoRR abs/2303.12285 (2023) - [i10]Dimitris Bertsimas, Léonard Boussioux:
Ensemble Modeling for Time Series Forecasting: an Adaptive Robust Optimization Approach. CoRR abs/2304.04308 (2023) - 2022
- [i9]Luis R. Soenksen, Yu Ma, Cynthia Zeng, Léonard D. J. Boussioux, Kimberly Villalobos Carballo, Liangyuan Na, Holly M. Wiberg, Michael Lingzhi Li, Ignacio Fuentes, Dimitris Bertsimas:
Integrated multimodal artificial intelligence framework for healthcare applications. CoRR abs/2202.12998 (2022) - [i8]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 abs/2206.10381 (2022) - 2021
- [i7]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 abs/2103.11285 (2021) - [i6]Dimitris Bertsimas, Léonard Boussioux, Kimberly Villalobos Carballo, Michael Lingzhi Li, Alex Paskov, Ivan S. Paskov:
Holistic Deep Learning. CoRR abs/2110.15829 (2021) - 2020
- [i5]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 abs/2002.00412 (2020) - [i4]David Venuto, Jhelum Chakravorty, Léonard Boussioux, Junhao Wang, Gavin McCracken, Doina Precup:
oIRL: Robust Adversarial Inverse Reinforcement Learning with Temporally Extended Actions. CoRR abs/2002.09043 (2020) - [i3]Léonard Boussioux, Cynthia Zeng, Théo Guénais, Dimitris Bertsimas:
Hurricane Forecasting: A Novel Multimodal Machine Learning Framework. CoRR abs/2011.06125 (2020) - 2019
- [i2]Léonard Boussioux, Tomás Giro-Larraz, Charles Guille-Escuret, Mehdi Cherti, Balázs Kégl:
InsectUp: Crowdsourcing Insect Observations to Assess Demographic Shifts and Improve Classification. CoRR abs/1906.11898 (2019) - [i1]David Venuto, Léonard Boussioux, Junhao Wang, Rola Dali, Jhelum Chakravorty, Yoshua Bengio, Doina Precup:
Avoidance Learning Using Observational Reinforcement Learning. CoRR abs/1909.11228 (2019)
Coauthor Index
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last updated on 2024-06-10 23:25 CEST by the dblp team
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