Étienne Marcotte

16 papers A* 5Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Overcoming the Modality Gap in Context-Aided Forecasting.
CoRR
Vincent Zhihao Zheng, Étienne Marcotte, Arjun Ashok, Andrew Robert Williams, Lijun Sun, Alexandre Drouin, Valentina Zantedeschi
2025 J jnl
Beyond Naïve Prompting: Strategies for Improved Zero-shot Context-aided Forecasting with LLMs.
CoRR
Arjun Ashok, Andrew Robert Williams, Vincent Zhihao Zheng, Irina Rish, Nicolas Chapados, Étienne Marcotte, Valentina Zantedeschi, Alexandre Drouin
2025 J jnl
Bidding in day-ahead electricity markets: A dynamic programming framework.
Comput. Oper. Res.
Jérôme De Boeck, Bernard Fortz, Martine Labbé, Étienne Marcotte, Patrice Marcotte, Gilles Savard
2025 A* conf
Context is Key: A Benchmark for Forecasting with Essential Textual Information.
ICML
Andrew Robert Williams, Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Jithendaraa Subramanian, Roland Riachi, James Requeima, Alexandre Lacoste, Irina Rish, Nicolas Chapados, Alexandre Drouin
2025 J jnl
DRBench: A Realistic Benchmark for Enterprise Deep Research.
CoRR
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
2024 J jnl
Context is Key: A Benchmark for Forecasting with Essential Textual Information.
CoRR
Andrew Robert Williams, Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Jithendaraa Subramanian, Roland Riachi, James Requeima, Alexandre Lacoste, Irina Rish, Nicolas Chapados, Alexandre Drouin
2024 A* conf
RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content.
NeurIPS
João Monteiro, Pierre-André Noël, Étienne Marcotte, Sai Rajeswar Mudumba, Valentina Zantedeschi, David Vázquez, Nicolas Chapados, Chris Pal, Perouz Taslakian
2024 J jnl
RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content.
CoRR
João Monteiro, Pierre-André Noël, Étienne Marcotte, Sai Rajeswar, Valentina Zantedeschi, David Vázquez, Nicolas Chapados, Christopher Pal, Perouz Taslakian
2024 A* conf
TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series.
ICLR
Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Nicolas Chapados, Alexandre Drouin
2024 — conf
XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference.
EMNLP (Findings)
João Monteiro, Étienne Marcotte, Pierre-André Noël, Valentina Zantedeschi, David Vázquez, Nicolas Chapados, Christopher Pal, Perouz Taslakian
2024 J jnl
XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference.
CoRR
João Monteiro, Étienne Marcotte, Pierre-André Noël, Valentina Zantedeschi, David Vázquez, Nicolas Chapados, Christopher Pal, Perouz Taslakian
2023 A* conf
Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts.
ICML
Étienne Marcotte, Valentina Zantedeschi, Alexandre Drouin, Nicolas Chapados
2023 J jnl
Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts.
CoRR
Étienne Marcotte, Valentina Zantedeschi, Alexandre Drouin, Nicolas Chapados
2023 J jnl
TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series.
CoRR
Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Nicolas Chapados, Alexandre Drouin
2022 A* conf
TACTiS: Transformer-Attentional Copulas for Time Series.
ICML
Alexandre Drouin, Étienne Marcotte, Nicolas Chapados
2022 J jnl
TACTiS: Transformer-Attentional Copulas for Time Series.
CoRR
Alexandre Drouin, Étienne Marcotte, Nicolas Chapados