| Aug 09, 2025 | OxML 2025 / Oxford | Building Foundation Models for Time Series |
| Jul 14, 2025 | ICML Expo / Vancouver | Foundation Models, the new paradigm for forecasting, and their role in AutoML |
| May 20, 2025 | Berlin StatML Workshop | Building Foundation Models for Forecasting |
| Feb 27, 2025 | Adidas / Remote | Chronos: Learning the Language of Time Series |
| Jan 27, 2025 | Bank of America / London | Chronos: Learning the Language of Time Series |
| Dec 10, 2024 | NeurIPS Expo / Vancouver | AutoGluon-TimeSeries 1.2 |
| Aug 23, 2024 | OxML 2024 / London | Advances in Pretrained Models for Time Series Forecasting |
| Sep 27, 2024 | DLCT / Remote | Chronos: Learning the Language of Time Series |
| May 07, 2024 | IBM Research / Remote | Chronos: Learning the Language of Time Series |
| May 06, 2024 | NUS / Remote | Chronos: Learning the Language of Time Series |
| May 05, 2024 | TWIML AI Podcast / YouTube | Chronos: Learning the Language of Time Series |
| Jul 27, 2023 | ICML / Hawaii | Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series |
| 2022 | SSI @ NUS / Singapore | Deep Explicit Duration Switching Models for Time Series |
| 2020 | CVPR / Remote | A Characteristic Function Approach to Deep Implicit Generative Modeling |
| 2019 | AAAI / Hawaii | Hyperprior Induced Unsupervised Disentanglement of Latent Representations |