Étienne Marcotte

According to our database, Étienne Marcotte authored at least 11 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

Dr-CiK: A Testbed for Foresight-Driven Agents.

Yihong Tang, Andrew Robert Williams, Arjun Ashok, Vincent Zhihao Zheng, Lijun Sun, Alexandre Drouin, Issam H. Laradji, Étienne Marcotte, Valentina Zantedeschi

CoRR, May, 2026

Overcoming the Modality Gap in Context-Aided Forecasting.

Vincent Zhihao Zheng, Étienne Marcotte, Arjun Ashok, Andrew Robert Williams, Lijun Sun, Alexandre Drouin, Valentina Zantedeschi

CoRR, March, 2026

2025

DRBench: A Realistic Benchmark for Enterprise Deep Research.

Amirhossein Abaskohi, Tianyi Chen, Miguel Muñoz-Mármol, Curtis Fox, Amrutha Varshini Ramesh, Étienne Marcotte, Xing Han Lù, Nicolas Chapados, Spandana Gella, Christopher Pal, Alexandre Drouin, Issam H. Laradji

CoRR, October, 2025

Beyond Naïve Prompting: Strategies for Improved Zero-shot Context-aided Forecasting with LLMs.

Arjun Ashok, Andrew Robert Williams, Vincent Zhihao Zheng, Irina Rish, Nicolas Chapados, Étienne Marcotte, Valentina Zantedeschi, Alexandre Drouin

CoRR, August, 2025

Bidding in day-ahead electricity markets: A dynamic programming framework.

Jérôme De Boeck, Bernard Fortz, Martine Labbé, Étienne Marcotte, Patrice Marcotte, Gilles Savard

Comput. Oper. Res., 2025

Context is Key: A Benchmark for Forecasting with Essential Textual Information.

Andrew Robert Williams, Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Jithendaraa Subramanian, Roland Riachi, James Requeima, Alexandre Lacoste, Irina Rish, Nicolas Chapados, Alexandre Drouin

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content.

João Monteiro, Pierre-André Noël, Étienne Marcotte, Sai Rajeswar Mudumba, Valentina Zantedeschi, David Vázquez, Nicolas Chapados, Chris Pal, Perouz Taslakian

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series.

Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Nicolas Chapados, Alexandre Drouin

Proceedings of the Twelfth International Conference on Learning Representations, 2024

XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference.

João Monteiro, Étienne Marcotte, Pierre-André Noël, Valentina Zantedeschi, David Vázquez, Nicolas Chapados, Christopher Pal, Perouz Taslakian

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts.

Étienne Marcotte, Valentina Zantedeschi, Alexandre Drouin, Nicolas Chapados

Proceedings of the International Conference on Machine Learning, 2023

2022

TACTiS: Transformer-Attentional Copulas for Time Series.

Alexandre Drouin, Étienne Marcotte, Nicolas Chapados

Proceedings of the International Conference on Machine Learning, 2022