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Aug 2025 Delivered a lecture on Building Foundation Models for Time Series at the Oxford ML School.
Jul 2025 Chronos models have crossed 500 million downloads (all time) on Hugging Face!
Jul 2025 Gave a talk on AutoGluon-TimeSeries and GraphStorm at the ICML Expo.
May 2025 Our paper on wavelet-based tokenization for time series foundation mdoels got accepted at ICML.
Jan 2025 Our paper on lightweight covariate adapters for pretrained models got accepted at AISTATS.
Dec 2024 Presented AutoGluon-TimeSeries 1.2 at the NeurIPS Expo.
Nov 2024 Chronos was accepted for publication at TMLR.
Sep 2024 Gave a talk on Chronos at the Deep Learning: Classics and Trends reading group.
Aug 2024 Delivered a lecture on Recent Advances in Pretrained Models for Time Series Forecasting at the Oxford ML School.
May 2024 Talked about Chronos and time series foundation models on the TWIML AI Podcast with Sam Charrington.
Mar 2024 Our preprint on the Chronos family of pretrained time series forecasting models is now available.
Sep 2023 Our paper on unconditional diffusion models for time series forecasting got accepted at NeurIPS 2023.
Jul 2023 Our preprint on unconditional diffusion models for time series forecasting is now available.
Apr 2023 Our paper on neural continuous-discrete state space models got accepted at ICML 2023 for oral presentation.
Jan 2023 Our preprint on neural continuous-discrete state space models is now available.
Aug 2022 Joined AWS AI in Berlin as an Applied Scientist.
Jul 2022 Successfully defended my PhD thesis. PDF available here.
Sep 2021 Our paper on deep explicit duration switching models got accepted at NeurIPS 2021.
Aug 2021 Awarded the Dean’s Graduate Research Excellence Award by NUS School of Computing.
Jan 2021 Our paper on refining generative models using gradient flows got accepted at ICLR 2021.
Oct 2020 Joined Amazon AWS AI (Berlin) as an Applied Science Intern.
Feb 2020 Our paper on training GANs using characteristic functions got accepted at CVPR 2020.
Aug 2019 Awarded the Research Achievement Award by NUS School of Computing.
Nov 2018 Our paper on learning disentangled representations in VAEs got accepted at AAAI 2019.
Dec 2017 Joined Dr. Harold Soh’s lab at NUS.
Aug 2017 Joined NUS School of Computing (SoC) as a PhD Student.