| Chronos: Learning the language of time series AF Ansari, L Stella, C Turkmen, X Zhang, P Mercado, H Shen, O Shchur, ... Transactions on Machine Learning Research, 2024 | 793* | 2024 |
| Event-driven visual-tactile sensing and learning for robots T Taunyazov, W Sng, HH See, B Lim, J Kuan, AF Ansari, BCK Tee, H Soh Robotics: Science and Systems (RSS) 2020, 2020 | 143 | 2020 |
| Predict, refine, synthesize: Self-guiding diffusion models for probabilistic time series forecasting M Kollovieh, AF Ansari, M Bohlke-Schneider, J Zschiegner, H Wang, ... Advances in Neural Information Processing Systems 36, 28341-28364, 2023 | 135 | 2023 |
| Refining Deep Generative Models via Discriminator Gradient Flow AF Ansari, ML Ang, H Soh International Conference on Learning Representations (ICLR), 2021 | 78* | 2021 |
| A characteristic function approach to deep implicit generative modeling AF Ansari, J Scarlett, H Soh Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 51 | 2020 |
| Deep explicit duration switching models for time series AF Ansari, K Benidis, R Kurle, AC Turkmen, H Soh, AJ Smola, B Wang, ... Advances in Neural Information Processing Systems 34, 29949-29961, 2021 | 40 | 2021 |
| Neural continuous-discrete state space models for irregularly-sampled time series AF Ansari, A Heng, A Lim, H Soh International Conference on Machine Learning, 926-951, 2023 | 32 | 2023 |
| Hyperprior induced unsupervised disentanglement of latent representations AF Ansari, H Soh Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3175-3182, 2019 | 32 | 2019 |
| Enhancing foundation models for time series forecasting via Wavelet-based tokenization L Masserano, AF Ansari, B Han, X Zhang, C Faloutsos, MW Mahoney, ... arXiv preprint arXiv:2412.05244, 2024 | 14 | 2024 |
| Gradient-free generation for hard-constrained systems C Cheng, B Han, DC Maddix, AF Ansari, A Stuart, MW Mahoney, Y Wang arXiv preprint arXiv:2412.01786, 2024 | 13 | 2024 |
| ChronosX: Adapting pretrained time series models with exogenous variables SP Arango, P Mercado, S Kapoor, AF Ansari, L Stella, H Shen, ... arXiv preprint arXiv:2503.12107, 2025 | 11* | 2025 |
| Chronos-2: From univariate to universal forecasting AF Ansari, O Shchur, J Küken, A Auer, B Han, P Mercado, ... arXiv preprint arXiv:2510.15821, 2025 | 10* | 2025 |
| Mitra: Mixed synthetic priors for enhancing tabular foundation models X Zhang, DC Maddix, J Yin, N Erickson, AF Ansari, B Han, S Zhang, ... arXiv preprint arXiv:2510.21204, 2025 | 6 | 2025 |
| Zero-Shot Time Series Forecasting with Covariates via In-Context Learning A Auer, R Parthipan, P Mercado, AF Ansari, L Stella, B Wang, ... arXiv preprint arXiv:2506.03128, 2025 | 4 | 2025 |
| Generative modeling with flow-guided density ratio learning A Heng, AF Ansari, H Soh Joint European Conference on Machine Learning and Knowledge Discovery in …, 2024 | 4* | 2024 |
| Understanding transformers for time series: Rank structure, flow-of-ranks, and compressibility A Yu, DC Maddix, B Han, X Zhang, AF Ansari, O Shchur, C Faloutsos, ... arXiv preprint arXiv:2510.03358, 2025 | 3 | 2025 |
| fev-bench: A realistic benchmark for time series forecasting O Shchur, AF Ansari, C Turkmen, L Stella, N Erickson, P Guerron, ... arXiv preprint arXiv:2509.26468, 2025 | 3 | 2025 |
| Does Multimodality Lead to Better Time Series Forecasting? X Zhang, B Han, H Fang, AF Ansari, S Zhang, DC Maddix, C Hu, ... arXiv preprint arXiv:2506.21611, 2025 | 3 | 2025 |
| Comparing and contrasting deep learning weather prediction backbones on navier-stokes and atmospheric dynamics M Karlbauer, DC Maddix, AF Ansari, B Han, G Gupta, Y Wang, A Stuart, ... arXiv preprint arXiv:2407.14129, 2024 | 3 | 2024 |
| Fast and accurate zero-shot forecasting with Chronos-Bolt and AutoGluon, Dec. 2024b AF Ansari, C Turkmen, O Shchur, L Stella URL https://aws.amazon.com/blogs/machine-learning/fast-and-accurate-zero …, 0 | 3 | |
Yuyang (Bernie) WangPrincipal Scientist, AWSVerified email at mit.edu
