James Requeima

Publications

Context is Key: A Benchmark for Forecasting with Essential Textual Information. Andrew Williams, Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Jithendaraa Subramanian, Roland Riachi, James Requeima, Alexandre Lacoste, Irina Rish, Nicolas Chapados, Alexandre Drouin. At International Conference on Machine Learning (ICML), 2025.

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Context is Key: A Benchmark for Forecasting with Essential Textual Information. Andrew Williams, Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Jithendaraa Subramanian, Roland Riachi, James Requeima, Alexandre Lacoste, Irina Rish, Nicolas Chapados, Alexandre Drouin. At Workshop at the Neural Information Processing Systems (NeurIPS), 2024.

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Context is Key: A Benchmark for Forecasting with Essential Textual Information. Andrew Williams, Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Jithendaraa Subramanian, Roland Riachi, James Requeima, Alexandre Lacoste, Irina Rish, Nicolas Chapados, Alexandre Drouin. At Foundation Models for Time Series, 2024.

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Context is Key: A Benchmark for Forecasting with Essential Textual Information. Andrew Williams, Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Jithendaraa Subramanian, Roland Riachi, James Requeima, Alexandre Lacoste, Irina Rish, Nicolas Chapados, Alexandre Drouin. At Montreal AI Symposium (MAIS), 2024.

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