Sylvain, Tristan

9 publications

TMLR 2025 LLM-TS Integrator: Integrating LLM for Enhanced Time Series Modeling Can Chen, Gabriel L. Oliveira, Hossein Sharifi-Noghabi, Tristan Sylvain

ICML 2025 Rejecting Hallucinated State Targets During Planning Harry Zhao, Tristan Sylvain, Romain Laroche, Doina Precup, Yoshua Bengio

ICLR 2024 AutoCast++: Enhancing World Event Prediction with Zero-Shot Ranking-Based Context Retrieval Qi Yan, Raihan Seraj, Jiawei He, Lili Meng, Tristan Sylvain

NeurIPSW 2024 Enhance Time Series Modeling by Integrating LLM Can Chen, Gabriel L. Oliveira, Hossein Sharifi-Noghabi, Tristan Sylvain

NeurIPSW 2024 Identifying and Addressing Delusions for Target-Directed Decision Making Harry Zhao, Tristan Sylvain, Doina Precup, Yoshua Bengio

ICLR 2023 Scaleformer: Iterative Multi-Scale Refining Transformers for Time Series Forecasting Mohammad Amin Shabani, Amir H. Abdi, Lili Meng, Tristan Sylvain

AAAI 2021 Object-Centric Image Generation from Layouts Tristan Sylvain, Pengchuan Zhang, Yoshua Bengio, R. Devon Hjelm, Shikhar Sharma

ICLR 2020 Locality and Compositionality in Zero-Shot Learning Tristan Sylvain, Linda Petrini, Devon Hjelm

ICLR 2017 Diet Networks: Thin Parameters for Fat Genomics Adriana Romero, Pierre Luc Carrier, Akram Erraqabi, Tristan Sylvain, Alex Auvolat, Etienne Dejoie, Marc-André Legault, Marie-Pierre Dubé, Julie G. Hussin, Yoshua Bengio