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ORCIDÉtienne Marcotte
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2020 – today
- 2026
[i10]Vincent Zhihao Zheng, Étienne Marcotte, Arjun Ashok, Andrew Robert Williams, Lijun Sun, Alexandre Drouin, Valentina Zantedeschi:
Overcoming the Modality Gap in Context-Aided Forecasting. CoRR abs/2603.12451 (2026)- [i9]Yihong Tang, Andrew Robert Williams, Arjun Ashok, Vincent Zhihao Zheng, Lijun Sun, Alexandre Drouin, Issam H. Laradji, Étienne Marcotte, Valentina Zantedeschi:
Dr-CiK: A Testbed for Foresight-Driven Agents. CoRR abs/2605.27904 (2026) - 2025
- [j1]Jérôme De Boeck, Bernard Fortz, Martine Labbé, Étienne Marcotte, Patrice Marcotte, Gilles Savard:
Bidding in day-ahead electricity markets: A dynamic programming framework. Comput. Oper. Res. 179: 107024 (2025) - [c6]Andrew Robert Williams, Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Jithendaraa Subramanian, Roland Riachi, James Requeima, Alexandre Lacoste, Irina Rish, Nicolas Chapados, Alexandre Drouin:
Context is Key: A Benchmark for Forecasting with Essential Textual Information. ICML 2025 - [i8]Arjun Ashok, Andrew Robert Williams, Vincent Zhihao Zheng, Irina Rish, Nicolas Chapados, Étienne Marcotte, Valentina Zantedeschi, Alexandre Drouin:
Beyond Naïve Prompting: Strategies for Improved Zero-shot Context-aided Forecasting with LLMs. CoRR abs/2508.09904 (2025) - [i7]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:
DRBench: A Realistic Benchmark for Enterprise Deep Research. CoRR abs/2510.00172 (2025) - 2024
- [c5]João Monteiro, Étienne Marcotte, Pierre-André Noël
, Valentina Zantedeschi, David Vázquez, Nicolas Chapados, Christopher Pal, Perouz Taslakian:
XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference. EMNLP (Findings) 2024: 15284-15302 - [c4]Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Nicolas Chapados, Alexandre Drouin:
TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series. ICLR 2024 - [c3]João Monteiro, Pierre-André Noël, Étienne Marcotte, Sai Rajeswar Mudumba, Valentina Zantedeschi, David Vázquez, Nicolas Chapados, Chris Pal, Perouz Taslakian:
RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content. NeurIPS 2024 - [i6]João Monteiro, Étienne Marcotte, Pierre-André Noël, Valentina Zantedeschi, David Vázquez, Nicolas Chapados, Christopher Pal, Perouz Taslakian:
XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference. CoRR abs/2404.15420 (2024) - [i5]João Monteiro, Pierre-André Noël, Étienne Marcotte, Sai Rajeswar, Valentina Zantedeschi, David Vázquez, Nicolas Chapados, Christopher Pal, Perouz Taslakian:
RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content. CoRR abs/2406.11811 (2024) - [i4]Andrew Robert Williams, Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Jithendaraa Subramanian, Roland Riachi, James Requeima, Alexandre Lacoste, Irina Rish, Nicolas Chapados, Alexandre Drouin:
Context is Key: A Benchmark for Forecasting with Essential Textual Information. CoRR abs/2410.18959 (2024) - 2023
- [c2]Étienne Marcotte, Valentina Zantedeschi, Alexandre Drouin, Nicolas Chapados:
Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts. ICML 2023: 23958-24004 - [i3]Étienne Marcotte, Valentina Zantedeschi, Alexandre Drouin, Nicolas Chapados:
Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts. CoRR abs/2304.09836 (2023) - [i2]Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Nicolas Chapados, Alexandre Drouin:
TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series. CoRR abs/2310.01327 (2023) - 2022
- [c1]Alexandre Drouin, Étienne Marcotte, Nicolas Chapados:
TACTiS: Transformer-Attentional Copulas for Time Series. ICML 2022: 5447-5493 - [i1]Alexandre Drouin, Étienne Marcotte, Nicolas Chapados:
TACTiS: Transformer-Attentional Copulas for Time Series. CoRR abs/2202.03528 (2022)
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