TACTiS: Transformer-Attentional Copulas for Time Series. - Alexandre Drouin; Étienne Marcotte; Nicolas Chapados (ICML, 2022)

Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts. - Étienne Marcotte; Valentina Zantedeschi; Alexandre Drouin; Nicolas Chapados (ICML, 2023)

XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference. - João Monteiro 002; Étienne Marcotte; Pierre-André Noël; Valentina Zantedeschi; David Vázquez 001; Nicolas Chapados; Christopher Pal; Perouz Taslakian (EMNLP (Findings), 2024)

TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series. - Arjun Ashok; Étienne Marcotte; Valentina Zantedeschi; Nicolas Chapados; Alexandre Drouin (ICLR, 2024)

RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content. - João Monteiro 002; Pierre-André Noël; Étienne Marcotte; Sai Rajeswar Mudumba; Valentina Zantedeschi; David Vázquez 001; Nicolas Chapados; Chris Pal; Perouz Taslakian (NeurIPS, 2024)

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 (CoRR, 2024)

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)

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, 2025)