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Drouin, Alexandre

  1. Differentiable Causal Discovery from Interventional Data
    2020/07/03 by Philippe Brouillard, Sébastien Lachapelle, Brouillard, Philippe +7 · 43 citations
    Computer Science · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #I.2.6 #I.5.1 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning in Healthcare
  2. WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks?
    2024/03/12 by Alexandre Drouin, Maxime Gasse, Drouin, Alexandre +21 · 82 citations
    Business, Management and Accounting · Computer Science · #Artificial Intelligence (cs.AI) #Business Process Modeling and Analysis #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multi-Agent Systems and Negotiation #Semantic Web and Ontologies
  3. Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
    2023/10/12 by Kashif Rasul, Rasul, Kashif, Arjun Ashok +30 · 61 citations
    Decision Sciences · Computer Science · #Stock Market Forecasting Methods #Time Series Analysis and Forecasting #Forecasting Techniques and Applications
  4. The BrowserGym Ecosystem for Web Agent Research
    2024/12/06 by Thibault Le Sellier De Chezelles, De Chezelles, Thibault Le Sellier, Maxime Gasse +37 · 55 citations
    Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Peer-to-Peer Network Technologies #Scientific Computing and Data Management #Software Engineering (cs.SE)
  5. GEO-Bench: Toward Foundation Models for Earth Monitoring
    2023/06/06 by Alexandre Lacoste, Nils Lehmann, Lacoste, Alexandre +31 · 25 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  6. Causal Discovery with Language Models as Imperfect Experts
    2023/07/05 by Stephanie Long, Long, Stephanie, Alexandre Piché +7 · 19 citations
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
  7. WorkArena++: Towards Compositional Planning and Reasoning-based Common Knowledge Work Tasks
    2024/07/07 by Léo Boisvert, Megh Thakkar, Boisvert, Léo +15 · 23 citations
    Business, Management and Accounting · Computer Science · #Business Process Modeling and Analysis #Semantic Web and Ontologies #Service-Oriented Architecture and Web Services
  8. Context is Key: A Benchmark for Forecasting with Essential Textual Information
    2024/10/24 by Andrew Williams, Williams, Andrew Robert, Arjun Ashok +19 · 28 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Semantic Web and Ontologies
  9. TACTiS: Transformer-Attentional Copulas for Time Series
    2022/02/07 by Drouin, Alexandre, Marcotte, Étienne, Chapados, Nicolas · 8 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  10. TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series
    2023/10/02 by Arjun Ashok, Étienne Marcotte, Ashok, Arjun +7 · 11 citations
    Decision Sciences · Economics, Econometrics and Finance · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Financial Risk and Volatility Modeling #Forecasting Techniques and Applications #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stock Market Forecasting Methods
  11. In Search of Robust Measures of Generalization
    2020/10/22 by Gintare Karolina Dziugaite, Alexandre Drouin, Dziugaite, Gintare Karolina +13 · 6 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  12. Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning
    2018/01/10 by Ulysse Côté‐Allard, Cheikh Latyr Fall, Côté-Allard, Ulysse +13 · 4 citations
    Computer Science · Engineering · #Advanced Sensor and Energy Harvesting Materials #FOS: Computer and information sciences #Hand Gesture Recognition Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Muscle activation and electromyography studies
  13. The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications
    2024/12/02 by Philippe Brouillard, Chandler Squires, Brouillard, Philippe +12 · 3 voices · 7 citations
    Decision Sciences · Computer Science · #Data Quality and Management #Semantic Web and Ontologies #Bayesian Modeling and Causal Inference
  14. InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation
    2024/07/08 by Gaurav Sahu, Abhay Puri, Sahu, Gaurav +23 · 9 citations
    Business, Management and Accounting · #Artificial Intelligence (cs.AI) #Big Data and Business Intelligence #FOS: Computer and information sciences
  15. DoomArena: A framework for Testing AI Agents Against Evolving Security Threats
    2025/04/18 by Leo Boisvert, Léo Boisvert, Boisvert, Leo +22 · 1 voice · 16 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Advanced Malware Detection Techniques #Network Security and Intrusion Detection
  16. Typing assumptions improve identification in causal discovery
    2021/07/22 by Philippe Brouillard, Brouillard, Philippe, Perouz Taslakian +7 · 3 citations
    Computer Science · #Bayesian Modeling and Causal Inference #Advanced Graph Neural Networks #Machine Learning and Algorithms
  17. Maximum Margin Interval Trees
    2017/10/11 by Drouin, Alexandre, Hocking, Toby Dylan, Laviolette, François · 1 citation
    #Applications (stat.AP) #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  18. Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark
    2021/12/01 by Alexandre Lacoste, Lacoste, Alexandre, Evan David Sherwin +22 · 1 citation
    Computer Science · Environmental Science · #Atmospheric and Environmental Gas Dynamics #FOS: Computer and information sciences #FOS: Physical sciences #Geophysics (physics.geo-ph) #Machine Learning (cs.LG) #Topic Modeling
  19. Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts
    2023/04/19 by Étienne Marcotte, Valentina Zantedeschi, Marcotte, Étienne +5 · 1 citation
    Decision Sciences · Engineering · #Energy Load and Power Forecasting #FOS: Computer and information sciences #Forecasting Techniques and Applications #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stock Market Forecasting Methods
  20. How to Train Your LLM Web Agent: A Statistical Diagnosis
    2025/07/05 by Dheeraj Vattikonda, Vattikonda, Dheeraj, S. Ravichandran +29 · 5 citations
    Computer Science · #Digital Rights Management and Security
  21. Beyond Naïve Prompting: Strategies for Improved Zero-shot Context-aided Forecasting with LLMs
    2025/08/13 by Ashok, Arjun, Williams, Andrew Robert, Zheng, Vincent Zhihao +5 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  22. Causal Representation Learning in Temporal Data via Single-Parent Decoding
    2024/10/09 by Philippe Brouillard, Brouillard, Philippe, Sébastien Lachapelle +15 · 2 citations
    Computer Science · Decision Sciences · #Bayesian Modeling and Causal Inference #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
  23. Generalization Bounds via Meta-Learned Model Representations: PAC-Bayes and Sample Compression Hypernetworks
    2024/10/17 by Leblanc, Benjamin, Bazinet, Mathieu, D'Amours, Nathaniel +2 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  24. Learning to Defer for Causal Discovery with Imperfect Experts
    2025/02/18 by Oscar Clivio, Divyat Mahajan, Clivio, Oscar +11 · 1 citation
    Computer Science · #AI-based Problem Solving and Planning #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Rough Sets and Fuzzy Logic